Gene Drift Models

Gene Drift Models is a theoretical framework in population genetics that mathematically formalizes the stochastic changes in allele frequencies over generations due to random sampling effects in finite populations.

146

Publications

7.8K

Citations

249

Authors

164

Institutions

Publications per year

2017–2026

15

Authors

249

  1. TN
    Thomas Nagylaki

    University of Chicago, United States

    6 publications · 131 citations

    6

    h-index

  2. TM
    Takeo Maruyama

    National Institute of Genetics, Japan

    6 publications · 950 citations

    6

    h-index

  3. CC
    C. Cannings

    University of Sheffield, United Kingdom

    5 publications · 440 citations

    5

    h-index

  4. PL
    P. L. Antonelli

    University of Alberta, Canada

    3 publications · 62 citations

    3

    h-index

  5. DW
    David Waxman

    University of Sussex, United Kingdom

    3 publications · 133 citations

    3

    h-index

1–5 of 249

Venues

  1. Genetics

    20 publications · 1.8K citations

    17

    h-index

  2. Theoretical Population Biology

    TPB · 14 publications · 516 citations

    13

    h-index

  3. Advances in Applied Probability

    AAP · 9 publications · 551 citations

    9

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 9 publications · 1.1K citations

    9

    h-index

  5. Evolution

    7 publications · 395 citations

    7

    h-index

1–5