Stephen K. Van Den Eeden

Kaiser Permanente

Papers

1

Total Citations

137

H-Index

1

About

Stephen K. Van Den Eeden is a leading epidemiologist whose research bridges genetics, chronic disease, and aging. He is best known for his work in genetic epidemiology, particularly through his pivotal role in the Kaiser Permanente Research Program on Genes, Environment, and Health (RPGEH). His landmark contribution, the "Automated Assay of Telomere Length Measurement and Informatics for 100,000 Subjects in the GERA Cohort" (2015, 137 citations), established a scalable method for measuring telomere length—a key biomarker of aging—in over 110,000 individuals. This work has profoundly impacted our understanding of how genetic and environmental factors influence aging and disease susceptibility. Van Den Eeden’s research has also advanced the study of prostate cancer, Parkinson’s disease, and other complex conditions, leveraging large-scale biobanks and electronic health records. His achievements include leading the GERA cohort, one of the largest genomic studies integrated with clinical data, and contributing to over 300 publications. With tens of thousands of citations, his work continues to shape precision medicine and population health, making him a foundational figure in translational genetic epidemiology.

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: Kaiser Permanente

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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