Fangfang Tao | Chikungunya Virus | Best Researcher Award

Published on by Global Diseases Research

Prof. Dr. Fangfang Tao | Chikungunya Virus | Best Researcher Award 

Zhejiang Chinese Medical University | China

Prof. Dr. Fangfang Tao is a dedicated researcher at Zhejiang Chinese Medical University whose work spans integrative medicine, public health, and translational biomedical science. With a portfolio of 35 peer-reviewed publications and over 380 citations, Dr. Tao has established a growing scholarly presence supported by an h-index of 11, reflecting consistent influence and research quality. Her contributions often integrate traditional Chinese medical principles with modern clinical and epidemiological approaches, advancing evidence-based understanding of disease mechanisms, therapeutic strategies, and patient-centered health outcomes. Dr. Tao’s collaborative record is extensive, with partnerships involving more than 100 co-authors across national and international institutions, demonstrating her commitment to interdisciplinary inquiry and global scientific engagement. Her work contributes meaningfully to emerging health challenges by prioritizing rigorous methodology, culturally relevant medical insights, and innovative therapeutic frameworks. Through her research, Dr. Tao aims to bridge traditional medical knowledge with contemporary biomedical science to enhance clinical practice, inform health policy, and promote accessible, effective care. Her scholarly achievements underscore not only a strong trajectory in academic research but also a broader societal impact, as her studies support improved diagnostic approaches, better-targeted interventions, and enhanced patient well-being across diverse populations.

Profiles: Scopus | Google Scholar

Featured Publications

1. Niu, N., Zhang, J., Zhang, N., Mercado-Uribe, I., Tao, F., Han, Z., Pathak, S., … (2016). Linking genomic reorganization to tumor initiation via the giant cell cycle. Oncogenesis, 5(12), e281.
Cited by: 169

2. Tao, F., Tian, X., Ruan, S., Shen, M., & Zhang, Z. (2018). miR‐211 sponges lncRNA MALAT1 to suppress tumor growth and progression through inhibiting PHF19 in ovarian carcinoma. The FASEB Journal, 32(11), 6330–6343.
Cited by: 92

3. Tao, F., Tian, X., Lu, M., & Zhang, Z. (2018). A novel lncRNA, Lnc-OC1, promotes ovarian cancer cell proliferation and migration by sponging miR-34a and miR-34c. Journal of Genetics and Genomics, 45(3), 137–145.
Cited by: 59

4. Tian, X., Tao, F., Zhang, B., Dong, J. T., & Zhang, Z. (2018). The miR‐203/SNAI2 axis regulates prostate tumor growth, migration, angiogenesis and stemness potentially by modulating GSK‐3β/β-catenin signal pathway. IUBMB Life, 70(3), 224–236.
Cited by: 42

5. Jiang, X., Cui, X., Xu, H., Liu, W., Tao, F., Shao, T., Pan, X., & Zheng, B. (2019). Whole genome sequencing of extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli isolated from a wastewater treatment plant in China. Frontiers in Microbiology, 10, 1797.
Cited by: 34

Amos Kipkorir Langat | Infectious Disease | Best Researcher Award

Published on by Global Diseases Research

Assist. Prof. Dr. Amos Kipkorir Langat | Infectious Disease | Best Researcher Award 

Senior Research Fellow | Jomo Kenyatta University of Agriculture and Techno | Kenya

Dr. Amos Kipkorir Langat, Ph.D., is a highly accomplished statistician, academic, and economist with expertise in Bayesian analysis, machine learning, spatial statistics, and public health modeling. He earned his Ph.D. in Mathematics (Statistics) from the Pan African University Institute for Basic Sciences, Technology and Innovation, his MSc. in Applied Statistics from Jomo Kenyatta University of Agriculture and Technology (JKUAT), and his BSc. in Economics and Mathematics from Kabarak University. Currently, he serves as a Lecturer at JKUAT and Senior Economist at the County Government of Bomet, with previous teaching roles at Maasai Mara and Kabarak Universities. His research spans statistical modeling of infectious diseases, HIV risk factors, maternal health, survival and time series analysis, and measurement error models. He has supervised MSc. and Ph.D. students across Africa, authored over 30 peer-reviewed publications, and contributed to journals such as Scientific African, Asian Journal of Probability and Statistics, and Annals of Medicine & Surgery. Dr. Langat has secured prestigious awards including the AU Ph.D. Scholarship and SICSS research funding, and he actively contributes as a reviewer and conference organizer. His technical expertise includes proficiency in R, Python, STATA, SAS, SPSS, WinBUGS/OpenBUGS, and advanced econometric tools. A member of the Royal Statistical Society, ISCB, IBS, and the Kenya National Statistical Society, he also demonstrates a strong commitment to community service through educational leadership roles. Dr. Langat exemplifies a dedicated scholar, mentor, and researcher advancing applied statistics in public health and beyond

Profile: Google Scholar | Scopus | Orcid

Featured Publications

1. Langat, A., Orwa, G., & Koima, J. (2017). Cancer cases in Kenya; forecasting incidents using Box & Jenkins ARIMA model. Biomedical Statistics and Informatics, 2(2), 37–48. Cited by: 21

2. Benki-Nugent, S. F., Martopullo, I., Laboso, T., Tamasha, N., Wamalwa, D. C., … [and others]. (2019). High plasma soluble CD163 during infancy is a marker for neurocognitive outcomes in early-treated HIV-infected children. JAIDS Journal of Acquired Immune Deficiency Syndromes, 81(1), 102–109. Cited by: 14

3. Mutinda, J. K., & Langat, A. K. (2024). Stock price prediction using combined GARCH-AI models. Scientific African, 26, e02374. Cited by: 10

4. Mutinda, J. K., & Langat, A. K. (2024). Modeling the impact of air pollution and meteorological variables on COVID-19 transmission in Western Cape, South Africa. International Journal of Mathematics and Mathematical Sciences, 2024(1), 1591016. Cited by: 5

5. Mutinda, J. K., & Langat, A. K. (2024). Capital asset pricing model: A renewed application on S&P 500 index. Asian Journal of Economics, Business and Accounting, 24(6), 226–239. Cited by: 4