Population Sampling Design
Population Sampling Design is a methodological framework that specifies the systematic approach for selecting and structuring representative subsets of individuals from diverse populations to enable valid inferences about genetic variation and its impact on drug response in population pharmacogenetics.
259
Publications
21.9K
Citations
1.1K
Authors
511
Institutions
Publications per year
2017–2026
58
Parents
259
1–5 of 259
1.1K
National Center for Chronic and Noncommunicable Disease Control and Prevention, China
4 publications · 497 citations
4
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4
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4
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4
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National Center for Chronic and Noncommunicable Disease Control and Prevention, China
4 publications · 497 citations
4
h-index
1–5 of 1.1K
511

Centers for Disease Control and Prevention
Atlanta, United States
13 h-index
38 publications
2.5K citations

Johns Hopkins University
Baltimore, United States
10 h-index
30 publications
3.4K citations
University of Michigan
Ann Arbor, United States
7 h-index
26 publications
2K citations

Cornell University
Ithaca, United States
6 h-index
9 publications
2.8K citations

University of Minnesota
Minneapolis, United States
6 h-index
11 publications
828 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
5 h-index
24 publications
454 citations
Medical University of South Carolina
Charleston, United States
5 h-index
6 publications
811 citations

Johns Hopkins Medicine
Baltimore, United States
5 h-index
9 publications
1.5K citations
1–8 of 511
Repository · 13 publications · 413 citations
11
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8 publications · 418 citations
8
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7 publications · 207 citations
7
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6 publications · 629 citations
6
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5 publications · 165 citations
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