Population Bottleneck Analysis

Population Bottleneck Analysis is a computational method in population genetics that identifies and quantifies recent drastic reductions in population size by detecting characteristic genetic signatures such as excess heterozygosity, allele frequency distortion, or reduced genetic diversity in ancient and contemporary DNA data.

154

Publications

14.9K

Citations

859

Authors

438

Institutions

Publications per year

2017–2026

31

Authors

859

  1. SJ
    Stephen J. O’Brien

    National Cancer Institute, United States

    4 publications · 822 citations

    4

    h-index

  2. BC
    Bruce C. Robertson

    University of Otago, New Zealand

    3 publications · 109 citations

    3

    h-index

  3. CK
    Casper K. Lumby

    University of Cambridge, United Kingdom

    3 publications · 61 citations

    3

    h-index

  4. SJ
    Simon J. Hiscock

    University of Bristol, United Kingdom

    3 publications · 103 citations

    3

    h-index

  5. RR
    Richard R. Lawler

    James Madison University, United States

    3 publications · 74 citations

    3

    h-index

1–5 of 859

Venues

  1. Molecular Ecology

    12 publications · 967 citations

    11

    h-index

  2. Journal of Heredity

    10 publications · 4.1K citations

    10

    h-index

  3. Evolution

    6 publications · 224 citations

    6

    h-index

  4. PLoS ONE

    5 publications · 175 citations

    5

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 5 publications · 1.3K citations

    5

    h-index

1–5