Coalescent Analysis

Coalescent Analysis is a population genetic inferential framework that models the genealogical relationships among alleles in a sample by tracing their lineages backward in time to their most recent common ancestor, distinguishing itself from forward-time simulations through its emphasis on the stochastic process of lineage merging under assumptions of neutrality, random mating, and constant population size.

521

Publications

69K

Citations

1.7K

Authors

802

Institutions

Publications per year

2017–2026

90

Authors

1.7K

  1. RG
    Robert Griffiths

    Monash University, Australia

    13 publications · 2.8K citations

    13

    h-index

  2. ST
    Simon Tavaré

    University of Cambridge, United Kingdom

    12 publications · 3.7K citations

    12

    h-index

  3. MM
    Martin Möhle

    University of Tübingen, Germany

    10 publications · 673 citations

    10

    h-index

  4. NA
    Noah A. Rosenberg

    Stanford University, United States

    10 publications · 284 citations

    10

    h-index

  5. JW
    John Wakeley

    Harvard University, United States

    8 publications · 988 citations

    8

    h-index

1–5 of 1.7K

Venues

  1. Genetics

    52 publications · 6.4K citations

    37

    h-index

  2. Molecular Ecology

    51 publications · 4.7K citations

    36

    h-index

  3. Molecular Biology and Evolution

    MBE · 25 publications · 13.3K citations

    22

    h-index

  4. Evolution

    21 publications · 2.5K citations

    19

    h-index

  5. Theoretical Population Biology

    TPB · 25 publications · 2K citations

    18

    h-index

1–5