Tianying Wu | Oncology and Precision Medicine | Innovative Research Award

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Innovative Research Award

Tianying Wu
San Diego State University, United States

Tianying Wu
Affiliation San Diego State University
Country United States
Scopus ID 56174751700
Documents 51
Citations 1843
h-index 21
Subject Area Oncology and Precision Medicine
Event International Research Awards on Oncology and Cancer Research
ORCID 0000-0003-1679-3511

The Tianying Wu recognizes scholarly excellence demonstrated through impactful scientific investigations, sustained publication activity, and meaningful contributions to oncology and precision medicine. Tianying Wu of San Diego State University has established an academic profile characterized by interdisciplinary collaboration, high-quality publications, and measurable research influence within cancer-related biomedical sciences. The available scholarly indicators, including publication output, citation performance, and h-index, reflect consistent engagement in internationally recognized research activities.[1] [2]

Abstract

Tianying Wu’s academic profile reflects a productive research career in oncology and precision medicine supported by peer-reviewed publications and significant scholarly citations. The integration of laboratory research, translational science, and interdisciplinary collaboration contributes to advancing understanding of cancer biology and therapeutic strategies. Bibliometric indicators demonstrate sustained scientific visibility and academic engagement across international research communities.[1] [3]

Keywords

Oncology, Precision Medicine, Cancer Biology, Translational Research, Molecular Oncology, Biomarkers, Personalized Medicine, Clinical Research, Biomedical Science, Cancer Therapeutics.

Introduction

Modern oncology research increasingly emphasizes precision medicine approaches that integrate genomic discoveries with individualized patient care. Researchers working in this field contribute to improving diagnostic accuracy, therapeutic selection, and long-term clinical outcomes. Academic achievements are commonly evaluated using publication quality, citation metrics, collaborative research, and contributions to scientific innovation. Tianying Wu’s scholarly profile aligns with these internationally recognized indicators of academic excellence.[2] [4]

Research Profile

Affiliated with San Diego State University, Tianying Wu has developed an academic portfolio spanning oncology and precision medicine. The available Scopus metrics indicate 51 indexed publications, 1,843 citations, and an h-index of 21, reflecting sustained scholarly influence and consistent scientific productivity. Such metrics are widely used for assessing research visibility and long-term academic impact across biomedical disciplines.[1]

Research Contributions

Research contributions associated with this academic profile include participation in studies related to cancer biology, molecular mechanisms, translational medicine, and precision oncology. Such investigations support improved understanding of disease progression and therapeutic response while encouraging evidence-based clinical applications. Collaborative scientific research remains fundamental for accelerating innovation within modern oncology.[3] [5]

Publications

The publication record demonstrates sustained engagement with peer-reviewed scientific literature. Indexed articles contribute to ongoing discussions in oncology, biomedical research, and precision medicine while supporting future investigations through reproducible scientific methodologies. Citation performance further indicates continued academic relevance within the international research community.[1]

Research Impact

Research impact extends beyond publication counts by influencing scientific dialogue, interdisciplinary collaboration, and evidence-based healthcare. Citation metrics, h-index values, and continued referencing by other investigators collectively indicate scholarly visibility. These indicators provide objective evidence supporting recognition within competitive academic award programs.[2] [4]

Award Suitability

Based on publicly available academic indicators, Tianying Wu demonstrates qualifications consistent with consideration for the Innovative Research Award presented through the International Research Awards on Oncology and Cancer Research. Evaluation criteria including publication productivity, scholarly citations, research quality, interdisciplinary engagement, and measurable academic influence collectively support recognition within an international academic framework.[1] [5]

Conclusion

The scholarly profile of Tianying Wu reflects sustained academic productivity, meaningful citation performance, and ongoing engagement with oncology and precision medicine research. These measurable indicators represent important components of scientific excellence and support recognition through academic award initiatives dedicated to advancing cancer research and international scholarly collaboration.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Tianying Wu, Author ID 56174751700. Scopus.https://www.scopus.com/pages/authors/56174751700
  2. ORCID. (n.d.). Researcher Profile: Tianying Wu.https://orcid.org/0000-0003-1679-3511
  3. Crossref. (n.d.). Digital Object Identifier Handbook.https://doi.org/10.1038/nature
  4. National Cancer Institute. (n.d.). Precision Medicine in Cancer Treatment.https://www.cancer.gov/research/areas/treatment/precision-medicine
  5. International Research Awards on Oncology and Cancer Research. (n.d.). Award Information.https://oncology.pencis.com/

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Dr. Osnat Elyashiv | Oncology Therapy | Research Excellence Award

Dr. Osnat Elyashiv | Oncology Therapy | Research Excellence Award 

Gynecologic Oncology Consultant | The Edith Wolfson University Medical Center | Israel

Dr. Osnat Oxana Elyashiv’s research centers on gynecologic oncology, with a strong focus on ovarian and endometrial cancers, integrating clinical trials, surgical outcomes, and translational science. Her work explores prognostic biomarkers such as platelet ratios and homologous recombination deficiency to guide personalized therapy. She has contributed to major international trials on targeted treatments like PARP inhibitors. Her studies also evaluate surgical strategies, emphasizing complete tumor resection as a key survival determinant. Additionally, she investigates cancer stem cell heterogeneity and metastasis patterns. Her research extends to imaging, lymph node assessment, and minimally invasive techniques. Overall, her work advances precision medicine, improving prognosis, treatment optimization, and patient-centered care in gynecologic cancers.

Citation Metrics (Google Scholar)

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298

h-index

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9

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View Google Scholar Profile

Featured Publications

 

Okechukwu Obulezi | Blood Cancer | Best Paper Award

Dr. Okechukwu Obulezi | Blood Cancer | Best Paper Award 

Lecturer | Nnamdi Azikiwe Univeristy | Nigeria

Dr. Okechukwu Jeremiah Obulezi, Ph.D., is a distinguished statistician whose academic trajectory, research productivity, and multidisciplinary impact make him exceptionally suitable for a Best Paper Award. With a strong foundation in Statistics from Nnamdi Azikiwe University and Abia State Polytechnic, culminating in a Ph.D. focused on developing innovative generalized distribution families through Logistic-X transformations, he has consistently advanced statistical theory and its applications. His research interests span probability distributions, machine learning models, survival analysis, competing risks, acceptance sampling, optimum sampling, mask data and censoring schemes—areas crucial to modern data-driven decision-making in engineering, biomedical sciences, public health, and socio-economic modelling. Dr. Obulezi’s publication record is extensive and impactful, with over forty peer-reviewed journal articles in reputable outlets such as Heliyon, Scientific African, Alexandria Engineering Journal, Entropy, Symmetry, AIP Advances, and Earthline Journal of Mathematical Sciences. His works introduce new probability distributions, propose enhanced estimation techniques, develop sampling plans, and apply machine learning to real-world problems such as financial volatility, disease survival modelling, COVID-19 mortality, rainfall analysis, transportation cost prediction, and biomedical datasets. His methodological sophistication and ability to translate theory into practical applications underscore his scholarly depth. Professionally, he serves as Lecturer I at Nnamdi Azikiwe University and holds several academic leadership roles, including Seminar & Project Coordinator and member of multiple university committees. His international academic influence is further demonstrated through active service as a reviewer for renowned journals under Springer, Elsevier, Taylor & Francis, and Scopus-indexed platforms. Dr. Obulezi’s conference contributions and book chapter reviews further affirm his commitment to advancing statistical knowledge. Collectively, his robust research output, innovative contributions to distribution theory, interdisciplinary relevance, and sustained scholarly engagement establish him as a highly deserving candidate for the Best Paper Award.

Profile: Google Scholar 

Featured Publications

  1. Onyekwere, C. K., & Obulezi, O. J. (2022). Chris-Jerry distribution and its applications. Asian Journal of Probability and Statistics, 20(1), 16–30.

  2. Chinedu, E. C. Q., Chukwudum, Q. C., Alsadat, N., Obulezi, O. J., Almetwally, E. M., & Others. (2023). New lifetime distribution with applications to single acceptance sampling plan and scenarios of increasing hazard rates. Symmetry, 15(10), 1–33.

  3. Orji, G. O., Etaga, H. O., Almetwally, E. M., Igbokwe, C. P., Aguwa, O. C., & Obulezi, O. J. (2025). A new odd reparameterized exponential transformed-X family of distributions with applications to public health data. Innovation in Statistics and Probability, 1(1), 88–118.

  4. Obulezi, O. J., Anabike, I. C., Oyo, O. G., Harrison, E., & Perpetua, I. C. (2023). Marshall-Olkin Chris-Jerry distribution and its applications. International Journal of Innovative Science and Research Technology, 8(5), 1–15.

  5. Anabike, I. C., Igbokwe, C. P., Onyekwere, C. K., & Obulezi, O. J. (2023). Inference on the parameters of Zubair-Exponential distribution with application to survival times of guinea pigs. Journal of Advances in Mathematics and Computer Science, 38(7), 12–35.

By creating forward-looking statistical frameworks with real-world applications, the nominee’s research bridges science and society, enabling smarter policies, stronger industries, and transformative technological progress.

Luis Rico | Oncology | Editorial Board Member

Dr. Luis Rico | Oncology | Editorial Board Member

Managing Director | Hospital Aleman | Argentina

Dr. Luis Rico is a distinguished clinician–researcher at Hospital Alemán, Buenos Aires, renowned for his impactful contributions to urology, with a strong focus on endourology, advanced laser technologies, and minimally invasive surgical innovation. His work centers on improving procedural precision, optimizing perioperative outcomes, and enhancing patient safety in the management of complex urolithiasis. By integrating next-generation laser systems, cutting-edge endoscopic platforms, and refined surgical protocols, Dr. Rico continually advances evidence-based approaches that elevate standards of clinical care. With an active and growing academic footprint, he has authored numerous peer-reviewed publications addressing pivotal challenges in intrarenal surgery, flexible ureteroscopy, and comparative laser performance particularly evaluating modalities such as the Thulium Fiber Laser and HO:YAG systems. His research has expanded global understanding of operative efficiency, stone-free rates, laser–tissue dynamics, and postoperative recovery pathways. Dr. Rico collaborates extensively with international urology organizations, multidisciplinary surgical teams, and multicenter research networks, underscoring his commitment to shared scientific progress, surgical innovation, and clinical excellence. In addition to his research, he plays a key role in clinical training, contributes to multicenter trials, and advances patient-centered care through methodical, outcomes-driven practice. His scholarly contributions reflect a balanced blend of innovation, scientific rigor, and translational relevance, ensuring continued impact on the evolving landscape of urologic surgery and minimally invasive therapeutic strategies. Dr. Rico’s academic influence is further highlighted by his research metrics, which include 252 citations, 35 scientific documents, and an h-index of 9, reflecting both the quality and reach of his contributions to modern urological science.

Featured Publications

Rico, L., Blas, L., Álvarez Jaramillo, J., Filgueira, G., Soldano, J., & Contreras, P. (2025). Magneto Ho:YAG laser versus Thulium Fiber Laser for laser lithotripsy during flexible ureteroscopy with a flexible and navigable ureteral access sheath. International Urology and Nephrology.

Rico, L., Blas, L., Banda Ramos, L., Maqueda, M., Pizzarello, J., & Contreras, P. (2025). Thulium Fiber Laser versus Vapor Tunnel HO:YAG laser in retrograde intrarenal surgery: Which one has better laser ablation performance? World Journal of Urology.

Rico, L., Diaz-Zorita, V., Blas, L., Banda Ramos, L., Sabeh, P., & Contreras, P. (2025). Is the ablation stone efficacy and efficiency better with a flexible and navigable suction ureteric access sheath? World Journal of Urology.

Rico, L., Blas, L., Pizzarello, J., Banda-Ramos, L., & Contreras, P. (2024). Mini-endoscopic combined intrarenal surgery (mini-ECIRS) for complex urolithiasis. World Journal of Urology.

Rico, L., Maqueda, M., Blas, L., & Contreras, P. (2024). Anterograde placement of drug-coated balloon for ureteroileal anastomosis stricture. BMJ Case Reports.

Shahanavaj Khan | Cancer Science | Editorial Board Member

Assoc. Prof. Dr. Shahanavaj Khan | Cancer Science | Editorial Board Member

Associate Professor | Shri Ram College | India

Dr. Shahanavaj Khan is a distinguished researcher at King Saud University, Riyadh, specializing in cancer biology, pharmacology, and bioactive natural compounds. His work focuses on the anti-cancer and anti-inflammatory potential of plant-derived molecules, with particular emphasis on mechanisms involving apoptosis, Toll-Like Receptors, and microbiome-mediated cancer pathways. Dr. Khan employs advanced in-silico, in-vitro, and translational approaches to identify novel therapeutic targets and understand disease mechanisms, aiming to improve cancer diagnostics and treatment strategies. He has authored 54 publications in high-impact journals, contributing significantly to the understanding of prostate, lung, and other cancers, while integrating computational modeling with experimental validation. His research involves extensive collaborations with over 200 co-authors globally, demonstrating leadership in multidisciplinary oncology and pharmacology networks. Through his innovative studies on natural bioactive compounds and cancer therapeutics, Dr. Khan has contributed to the advancement of safer, more targeted treatment options, positively impacting patient care and public health. His scholarly work also underscores the importance of microbiome and receptor-mediated mechanisms in disease progression, bridging fundamental research with clinical applications. Dr. Khan’s academic influence and research productivity are reflected in his metrics 1,355 citations, 54 documents, and an h-index of 21.

Profiles: Scopus

Featured Publications

Khan, S., et al. (2025). Implication of Toll-Like Receptors in growth and management of health and diseases: Special focus as a promising druggable target to Prostate Cancer. [Review]. 7 citations.

Khan, S., et al. (2025). The implication of microbiome in lungs cancer: mechanisms and strategies of cancer growth, diagnosis and therapy. [Review]. 6 citations.

Khan, S., et al. (2025). Analysis of anti-cancer and anti-inflammatory activity in Typhonium flagelliforme rhizome extract by induction of apoptosis: An in-vitro study. Fitoterapia.

Jun Lu | Cancer | Editorial Board Member

Prof. Jun Lu | Cancer | Editorial Board Member

Professor | Chengdu University of Traditional Chinese Medicine | China

Dr. Jun Lu is a distinguished researcher at Chengdu University of Traditional Chinese Medicine, China, specializing in cancer nanomedicine, biomaterials, and translational therapeutics. His work focuses on the design and development of multifunctional nanoplatforms, including engineered chitosan nanoparticles, aptamer-conjugated chemotherapeutics, and self-gelling biomaterials for applications in tumor therapy, wound healing, and infectious disease management. Dr. Lu integrates molecular biology, materials science, and bioengineering to advance innovative therapeutic strategies, such as modulating tumor microenvironments, orchestrating DNA damage pathways in colorectal carcinoma, and promoting MRSA-infected wound healing. He has authored 78 publications in high-impact journals including Journal of Translational Medicine, Chemical Engineering Journal, Carbohydrate Polymers, and Nano Research, reflecting strong expertise in nanobiotechnology and translational oncology. His extensive collaborations with over 380 co-authors worldwide demonstrate his leadership in multidisciplinary research networks, bridging fundamental science with clinical applications. Beyond academic contributions, Dr. Lu’s work has significant societal impact by enabling advanced therapies for cancer, infectious diseases, and tissue repair, providing novel solutions to global health challenges. His research emphasizes translational relevance and real-world applicability, contributing to safer, more effective, and innovative therapeutic modalities. Dr. Lu’s academic influence and research productivity are reflected in his metrics 2,421 citations, 78 documents, and an h-index of 24.

Featured Publications

Lu, J., Zhang, H., Hou, J., Li, X., Hu, X., Hu, Y., Easton, C. D., Li, Q., Sun, C., … (2020). Efficient metal ion sieving in rectifying subnanochannels enabled by metal–organic frameworks. Nature Materials, 19(7), 767–774. Cited by: 495

Ni, S., Yao, H., Wang, L., Lu, J., Jiang, F., Lu, A., Zhang, G. (2017). Chemical modifications of nucleic acid aptamers for therapeutic purposes. International Journal of Molecular Sciences, 18(8), 1683. Cited by: 384

Lu, J., Jiang, F., Lu, A., Zhang, G. (2016). Linkers having a crucial role in antibody–drug conjugates. International Journal of Molecular Sciences, 17(4), 561. Cited by: 352

Tan, C. M., Therien, A. G., Lu, J., Lee, S. H., Caron, A., Gill, C. J., Lebeau-Jacob, C., … (2012). Restoring Methicillin-Resistant Staphylococcus aureus susceptibility to β-lactam antibiotics. Science Translational Medicine, 4(126), 126ra35.
Cited by: 328

Li, F., Lu, J., Liu, J., Liang, C., Wang, M., Wang, L., Li, D., Yao, H., Zhang, Q., Wen, J., … (2017). A water-soluble nucleolin aptamer-paclitaxel conjugate for tumor-specific targeting in ovarian cancer. Nature Communications, 8(1), 1390.
Cited by: 275

 

Xin Yi Foong | Breast Cancer | Best Researcher Award

Ms. Xin Yi Foong | Breast Cancer | Best Researcher Award

Core Surgical Trainee | Mid Yorkshire Teaching NHS Trust | United Kingdom

Dr Xin Yi Foong is a clinical researcher in Plastic and Reconstructive Surgery whose academic work is centred on improving the safety, accuracy, and reliability of autologous breast reconstruction through quantitative imaging and evidence-based microsurgical innovation. Her research explores the use of indocyanine green (ICG) fluorescence imaging to guide intraoperative evaluation of mastectomy flap perfusion, with particular emphasis on establishing objective perfusion scoring methods that support consistent, data-guided surgical decisions. Her published study in the Journal of Plastic, Reconstructive & Aesthetic Surgery introduced a structured quantitative perfusion algorithm that demonstrated strong discriminatory capability in identifying poorly perfused tissue and informing reconstructive planning, offering evidence that aligns with national quality frameworks and enhances postoperative outcomes. Alongside this work, she is investigating postoperative monitoring strategies in DIEP flap reconstruction, assessing early-phase observation models that preserve patient safety while promoting efficient and clinically coherent perioperative pathways. Her wider academic activity includes outcome audits, service-improvement initiatives, and reconstructive pathway analyses, all aimed at refining surgical workflows through quantitative measures, imaging-based assessment, and rigorous postoperative metrics. Conducted within multidisciplinary teams of plastic surgeons, anaesthetists, and breast specialists, her research supports the translation of imaging-derived insights into routine clinical practice. Through a growing publication profile, an active ORCID research identity, and sustained commitment to scientifically grounded surgical advancement, Dr Foong contributes to the development of reproducible, clinically meaningful, and patient-centred innovations that strengthen microsurgical dependability and elevate the overall quality of care within reconstructive breast surgery.

Profiles: Scopus | ORCID

Featured Publications

1. Foong, X. Y., Williamson, A., Lymperopoulos, N., & Holmes, W. J. M. (2025). Does indocyanine green imaging perfusion scoring reduce mastectomy flap necrosis in immediate autologous breast reconstruction? A single-centre cohort study. Journal of Plastic, Reconstructive & Aesthetic Surgery, 111, 198–206.

2. Foong, X. Y., Williamson, A., Lymperopoulos, N., & Holmes, W. J. M. (2025). Does intraoperative indocyanine green (ICG) reduce the outcome of mastectomy skin flap necrosis in patients undergoing immediate breast reconstruction? European Journal of Surgical Oncology. Advance online publication. 

Permal Deo | Prostate Cancer | Best Researcher Award

Dr. Permal Deo | Prostate Cancer | Best Researcher Award

Senior Lecturer | Clinical and Health Sciences, University of South Australia | Australia

Dr. Permal Deo is a distinguished food scientist and academic leader renowned for his contributions to nutrition, food biochemistry, and public health research. He holds a PhD in Food Biochemistry from Queen’s University Belfast, UK, where his doctoral work investigated the effects of food-derived advanced glycation end-products (AGEs) on oxidative stress and receptor activity in human cell lines. Complementing this, he earned a Master of Applied Science and Postgraduate Diploma from The University of Queensland, Australia, and a Bachelor of Science from The University of the South Pacific, Fiji. With over two decades of academic, research, and industry experience, Dr. Deo’s expertise encompasses food microbiology, food processing, functional foods, and the molecular pathways linking type 2 diabetes and Alzheimer’s disease. His research emphasizes the bioactivity of natural plant compounds and nutraceuticals in combating oxidative stress and inflammation, as well as the antimicrobial and food safety applications of electrochemically activated solutions. An accomplished mentor and research leader, he has supervised numerous postgraduate students and attracted more than AUD 2.5 million in competitive funding from prestigious bodies including the Australian Research Council, Diabetes Australia, and Horticulture Innovation. His extensive collaborations with institutions such as CSIRO, Monash University, and the University of Adelaide have advanced understanding in genome stability, indigenous food systems, and sustainable nutrition technologies. Widely recognized for his scholarly impact and leadership, Dr. Deo has presented at global scientific conferences and published influential studies in leading journals. His enduring scientific legacy is reflected through 944 citations, 57 documents, and an h-index of 19, underscoring his influential role in advancing the frontiers of food biochemistry, nutritional science, and biomedical innovation.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate | LinkedIn

Featured Publications

1. Snelson, M., Tan, S. M., Clarke, R. E., De Pasquale, C., Thallas-Bonke, V., Deo, P., … & Coughlan, M. T. (2021). Processed foods drive intestinal barrier permeability and microvascular diseases. Science Advances, 7(14), eabe4841. Cited by: 148

2. Sim, D. P., Khazandi, M., Chan, W. Y., Deo, P., & Trott, D. J. (2019). Antimicrobial activity of thyme oil, oregano oil, thymol and carvacrol against sensitive and resistant microbial isolates from dogs with otitis externa. Veterinary Dermatology. Cited by: 106

3. Deo, P., Hewawasam, E., Karakoulakis, A., Claudie, D. J., Nelson, R., & Vemulpad, S. (2016). In vitro inhibitory activities of selected Australian medicinal plant extracts against protein glycation, angiotensin converting enzyme (ACE), and digestive enzymes linked to diabetes. BMC Complementary and Alternative Medicine, 16(1), 435. Cited by: 61

4. Bergamin, A., Mantzioris, E., Cross, G., Deo, P., Garg, S., & Hill, A. M. (2019). Nutraceuticals: Reviewing their role in chronic disease prevention and management. Pharmaceutical Medicine, 33(4), 291–309. Cited by: 60

5. Fenech, M., Knasmueller, S., Knudsen, L. E., Kirsch-Volders, M., Deo, P., … & Bonassi, S. (2021). “Micronuclei and Disease” special issue: Aims, scope, and synthesis of outcomes. Mutation Research/Reviews in Mutation Research, 788, 108384. Cited by: 54

6. Ferro, S., Amorico, T., & Deo, P. (2018). Role of food sanitising treatments in inducing the ‘viable but nonculturable’ state of microorganisms. Food Control, 91, 321–329. Cited by: 54

Dr. Sumaira Mubarik – Cancer Science – Best Researcher Award

Dr. Sumaira Mubarik - Cancer Science - Best Researcher Award

University of Groningen - Netherlands

AUTHOR PROFILE

Scopus

Orcid

EARLY ACADEMIC PURSUITS:

Summaira Mubarik embarked on her academic journey with a strong foundation in mathematics, statistics, and computer science. She pursued her Bachelor of Science degree from Punjab University, Pakistan, specializing in Mathematics, Statistics, and Computer Science, which laid the groundwork for her future academic pursuits. Following this, she completed her FSc in Mathematics, Statistics, and Computer Science from BISE, Rawalpindi, Pakistan, further honing her analytical skills and preparing for advanced studies.

PROFESSIONAL ENDEAVORS:

Building upon her educational background, Mubarik pursued higher studies in statistics, earning her Master of Science degree from Arid Agriculture University Rawalpindi, Pakistan, in 2009. Subsequently, she completed her M.Phil, specializing in Statistics, from the same institution in 2012, where she conducted research on Quantile Regression Analysis of Blood Pressure levels for different factors of Adults under the supervision of Dr. Abdush Shakoor. These endeavors marked her entry into the realm of statistical research and analysis.

CONTRIBUTIONS AND RESEARCH FOCUS ON CANCER SCIENCE

Mubarik's academic journey reached new heights when she pursued her PhD in Statistics at Wuhan University, China, from 2019 to 2021. Under the supervision of Prof. Chuanhua Yu, she delved into the domain of stochastic modeling and prediction of breast cancer risk transitions using the age-period-cohort framework. Her research not only showcased her expertise in applied statistics but also demonstrated a deep commitment to addressing critical issues in biostatistics and epidemiology.

IMPACT AND INFLUENCE:

Throughout her academic career, Mubarik has made significant contributions to the field of statistics, particularly in applied statistics, biostatistics, and disease modeling. Her research endeavors have the potential to impact public health policies and interventions aimed at mitigating the risk of breast cancer. Additionally, her work in stochastic mortality models and survival analysis holds promise for improving our understanding of disease progression and mortality patterns.

ACADEMIC CITATIONS:

Mubarik's research output has garnered attention and recognition within the academic community, as evidenced by her receipt of prestigious scholarships and awards. She was awarded the "Excellent International Student Award" from the Ministry of Education, China, in 2020, along with the Wuhan University Outstanding International Students Scholarship in 2020 and 2021 for her exceptional academic achievements.

LEGACY AND FUTURE CONTRIBUTIONS:

As an Assistant Professor at the University of Groningen, Netherlands, Mubarik continues to pursue her passion for statistics and research. Her expertise in pharma data science and statistics equips her to contribute significantly to the advancement of statistical methodologies in pharmaceutical research and healthcare. With a strong foundation in applied statistics and a focus on epidemiological modeling, Mubarik's future contributions hold the potential to shape the landscape of public health research and policy.

NOTABLE PUBLICATIONS

Estimating disparities of prostate cancer burden and its attributable risk factors for males across the BRICS-plus, 1990–2019: A comparable study of key nations with emerging economies. 2024 (1)

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. 2024 (5)

Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. 2024 (1)

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. 2024 (4)

Temporal patterns of cancer burden in Asia, 1990–2019: a systematic examination for the Global Burden of Disease 2019 study 2024

Prof. R. StephanieHuang – Oncology and Precision Medicine – Best Researcher Award 

Prof. R. StephanieHuang - Oncology and Precision Medicine - Best Researcher Award 

University Of Minnesota - Minneapolis, MN - United States

Author Profile

Scopus 

Orcid

Early Academic Pursuits

Dr. Rong Stephanie Huang's academic journey began with her pursuit of pharmacology at the University of Minnesota, where she eventually earned the title of Distinguished McKnight University Professor. Her early academic pursuits laid the foundation for her distinguished career in the field.

Professional Endeavors

Throughout her career, Dr. Huang has held prestigious academic appointments, including her current position in the Department of Experimental and Clinical Pharmacology at the University of Minnesota. Her commitment to advancing pharmacology is evident in her leadership roles and contributions to various professional societies.

Contributions and Research Focus on Oncology and Precision Medicine

Dr. Huang's research primarily focuses on personalized and precision medicine, particularly in oncology. Her work aims to tailor treatments to individual patients by understanding the genetic and molecular mechanisms underlying cancer progression. This research has significant implications for improving patient outcomes in cancer treatment.

Impact and Influence

As a respected leader in pharmacology, Dr. Huang's influence extends beyond her research. Her leadership roles in organizations such as the International Pharmaceutical Federation (FIP) highlight her dedication to advancing the field on a global scale. Her contributions have shaped the landscape of personalized medicine and oncology research.

Academic Citations

Dr. Huang's research has garnered substantial attention within the academic community, evidenced by the numerous citations her work has received. Her findings have contributed to advancing knowledge in pharmacology, particularly in the realm of personalized medicine and cancer research.

Legacy and Future Contributions

Dr. Huang's legacy is characterized by her significant contributions to pharmacology and personalized medicine. Her ongoing leadership roles and mentorship efforts ensure that her impact will endure for future generations of pharmacologists. As she continues her research and advocacy, Dr. Huang will undoubtedly leave a lasting legacy in the field.

Notable Publications

Computational Modeling to Identify Drugs Targeting Metastatic Castration-Resistant Prostate Cancer Characterized by Heightened Glycolysis.

Integration of Computational Pipeline to Streamline Efficacious Drug Nomination and Biomarker Discovery in Glioblastoma.

Integration of pan-cancer cell line and single-cell transcriptomic profiles enables inference of therapeutic vulnerabilities in heterogeneous tumors.

A review of computational methods for predicting cancer drug response at the single-cell level through integration with bulk RNAseq data.