Genetic Drift Modeling

Genetic Drift Modeling is a computational or mathematical framework that quantifies the stochastic changes in allele frequencies within populations over time due to random sampling effects inherent in reproductive success, particularly accentuated in small or isolated populations such as those influenced by founder events.

531

Publications

45.3K

Citations

1.4K

Authors

664

Institutions

Publications per year

2017–2026

87

Authors

1.4K

  1. MS
    Montgomery Slatkin

    University of California, Berkeley, United States

    9 publications · 1.4K citations

    9

    h-index

  2. CC
    C. Cannings

    University of Sheffield, United Kingdom

    6 publications · 456 citations

    6

    h-index

  3. SE
    Steinar Engen

    Norwegian University of Science and Technology, Norway

    6 publications · 237 citations

    6

    h-index

  4. GC
    Graham Coop

    University of California, Davis, United States

    6 publications · 1K citations

    6

    h-index

  5. TN
    Thomas Nagylaki

    University of Chicago, United States

    5 publications · 158 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. Genetics

    60 publications · 5.4K citations

    39

    h-index

  2. Evolution

    43 publications · 3.9K citations

    31

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 23 publications · 2.2K citations

    21

    h-index

  4. Genetics Research

    13 publications · 1.9K citations

    13

    h-index

  5. Theoretical Population Biology

    TPB · 12 publications · 1K citations

    12

    h-index

1–5