Inference Under Population Substructure

Inference Under Population Substructure is a methodological framework in population genetics that enables the accurate estimation of evolutionary parameters and genetic relationships by explicitly accounting for the presence of non-random mating and allelic frequency differences arising from subdivided populations.

212

Publications

21.7K

Citations

947

Authors

421

Institutions

Publications per year

2017–2026

33

Authors

947

  1. KR
    Kathryn Roeder

    Carnegie Mellon University, United States

    3 publications · 289 citations

    3

    h-index

  2. CL
    Christoph Lange

    Harvard University, United States

    3 publications · 94 citations

    3

    h-index

  3. RC
    Ranajit Chakraborty

    The University of Texas Health Science Center at Houston, United States

    3 publications · 348 citations

    3

    h-index

  4. JG
    Joel Gelernter

    Yale University, United States

    3 publications · 153 citations

    3

    h-index

  5. HR
    Henry R. Kranzler

    Yale University, United States

    3 publications · 153 citations

    3

    h-index

1–5 of 947

Venues

  1. Heredity

    14 publications · 1.4K citations

    13

    h-index

  2. PLoS ONE

    9 publications · 1.2K citations

    9

    h-index

  3. Genetics

    8 publications · 1.9K citations

    8

    h-index

  4. Evolution

    7 publications · 658 citations

    7

    h-index

  5. Molecular Ecology

    7 publications · 1.9K citations

    7

    h-index

1–5