Genetic Bottleneck Detection

Genetic Bottleneck Detection is a methodological framework in population genetics that identifies significant reductions in genetic diversity within a population by detecting deviations from expected patterns of allele frequency distribution under mutation-drift equilibrium.

156

Publications

22.6K

Citations

720

Authors

369

Institutions

Publications per year

2017–2026

21

Authors

720

  1. GL
    Gordon Luikart

    University of Montana, United States

    10 publications · 12.1K citations

    10

    h-index

  2. OE
    Oscar E. Gaggiotti

    University of St Andrews, United Kingdom

    3 publications · 182 citations

    3

    h-index

  3. JC
    Jean‐Marie Cornuet

    Centre National de la Recherche Scientifique, France

    3 publications · 2K citations

    3

    h-index

  4. SH
    Sean Hoban

    Morton Arboretum, United States

    3 publications · 182 citations

    3

    h-index

  5. GB
    Giorgio Bertorelle

    University of Ferrara, Italy

    3 publications · 182 citations

    3

    h-index

1–5 of 720

Venues

  1. Molecular Ecology

    11 publications · 1.8K citations

    11

    h-index

  2. Conservation Biology

    7 publications · 2.1K citations

    7

    h-index

  3. Evolution

    6 publications · 2.7K citations

    6

    h-index

  4. Conservation Genetics

    6 publications · 362 citations

    6

    h-index

  5. PLoS ONE

    6 publications · 252 citations

    6

    h-index

1–5