Genetic epidemiology

Genetic epidemiology is the study of the role of genetic factors in determining health and disease in families and in populations, and the interplay of such genetic factors with environmental factors. Genetic epidemiology seeks to derive a statistical and quantitative analysis of how genetics work in large groups.

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Metrics Summary

Total Publications

Lifetime

4,492

Prior Five Years

534

Total Citations

Lifetime

114,569

Prior Five Years

4,619

Total Scholars

Lifetime

6,997

Prior Five Years

5,457

Institutional Rankings

Global (Worldwide)

Academic Institutions Lifetime		Academic Institutions Prior Five Years		Non-academic Institutions Lifetime
#1	Washington University in St. Louis United States	#1	University of Cambridge United Kingdom	#1	Mayo Clinic United States
#2	University of Southern California United States	#2	Loma Linda University United States	#2	National Institute of Mental Health, National Institutes of Health United States
#3	Virginia Commonwealth University United States	#3	University of Minnesota, Twin Cities United States	#3	Centers for Disease Control and Prevention United States
#4	Case Western Reserve University United States	#4	University of Michigan United States	#5	Institut National de la Santé et de la Recherche Médicale France
#5	University of Texas Rio Grande Valley United States	#5	University of Leicester United Kingdom
#6	Rockefeller University United States	#6	Johns Hopkins University United States
#7	Pennsylvania State University United States	#7	University of Bristol United Kingdom
#8	Johns Hopkins University United States	#8	University of Lubeck Germany
#9	University of California, San Francisco United States		Show More
#10	University of Leicester United Kingdom
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National Institutional Rankings

Publications and Citation History

Publications based on Disciplines

Scholars based on Disciplines

Publications based on Fields

Scholars based on Fields

Highly Ranked Scholars™

Lifetime

Prior Five Years

Evaluation Period:

Highly Cited Publications

Lifetime