Coalescent Simulation

Coalescent Simulation is a computational method that models the genealogical ancestry of genetic samples backward in time under the coalescent theory to generate realistic patterns of genetic variation expected under specified demographic and evolutionary parameters.

398

Publications

38.3K

Citations

1.4K

Authors

623

Institutions

Publications per year

2017–2026

73

Authors

1.4K

  1. JW
    John Wakeley

    Harvard University, United States

    9 publications · 837 citations

    9

    h-index

  2. JK
    Jerome Kelleher

    University of Oxford, United Kingdom

    9 publications · 1.6K citations

    9

    h-index

  3. NA
    Noah A. Rosenberg

    Stanford University, United States

    8 publications · 379 citations

    8

    h-index

  4. LE
    Laurent Excoffier

    University of Bern, Switzerland

    8 publications · 1.9K citations

    8

    h-index

  5. HI
    Hideki Innan

    The Graduate University for Advanced Studies, SOKENDAI, Japan

    6 publications · 341 citations

    6

    h-index

1–5 of 1.4K

Venues

  1. Genetics

    53 publications · 8.6K citations

    40

    h-index

  2. Molecular Ecology

    35 publications · 2.7K citations

    27

    h-index

  3. Molecular Biology and Evolution

    MBE · 33 publications · 3.4K citations

    27

    h-index

  4. Bioinformatics

    26 publications · 3.5K citations

    22

    h-index

  5. Evolution

    21 publications · 1.7K citations

    19

    h-index

1–5