Pui–Yan Kwok

University of California, San Francisco

Papers

1

Total Citations

137

H-Index

1

About

Pui-Yan Kwok is a pioneering genetic epidemiologist whose work bridges large-scale genomics and human aging. His key research areas include telomere biology, population genetics, and the genetic epidemiology of complex diseases. Kwok’s most notable contribution is his leadership in the landmark GERA (Genetic Epidemiology Research on Adult Health and Aging) cohort study, which analyzed DNA from over 110,000 individuals. His 2015 paper on automated telomere length measurement, cited over 137 times, established a high-throughput method for assessing this key aging biomarker in massive populations. By integrating genomic data with electronic health records from Kaiser Permanente’s RPGEH program, Kwok enabled unprecedented insights into how genetic and environmental factors influence aging and disease risk. His work has been instrumental in advancing personalized medicine and understanding the biological mechanisms of longevity. With a career spanning decades at the University of California, San Francisco, Kwok continues to shape the field of genetic epidemiology, demonstrating how big data approaches can unravel the complexities of human health and aging.

Research Focus

Key Achievements

1
H-Index
1
Papers
137
Total Citations
137
Avg Citations/Paper
🏆 Most Cited Paper
Automated Assay of Telomere Length Measurement and Informatics for 100,000 Subjects in the Genetic Epidemiology Research on Adult Health and Aging (GERA) Cohort
137 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: University of California, San Francisco

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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