Variance-stabilizing Selection Models

Variance-Stabilizing Selection Models is a theoretical framework in evolutionary biology that belongs to the class of selection models and is distinguished by its focus on formalizing the conditions under which natural selection reduces phenotypic variance in a population by favoring intermediate trait values.

34

Publications

3.4K

Citations

60

Authors

39

Institutions

Publications per year

2017–2026

2

Variants

Stabilizing Selection Models

Authors

60

  1. XZ
    Xu‐Sheng Zhang

    University of Edinburgh, United Kingdom

    3 publications · 108 citations

    3

    h-index

  2. WG
    William G. Hill

    University of Edinburgh, United Kingdom

    3 publications · 108 citations

    3

    h-index

  3. EA
    Edward Allen Herre

    Smithsonian Tropical Research Institute, Panama

    2 publications · 132 citations

    2

    h-index

  4. SA
    Stuart A. West

    University of Oxford, United Kingdom

    2 publications · 132 citations

    2

    h-index

  5. JT
    Jarle Tufto

    Norwegian University of Science and Technology, Norway

    2 publications · 104 citations

    2

    h-index

1–5 of 60

Venues

  1. Evolution

    10 publications · 489 citations

    10

    h-index

  2. The American Naturalist

    AN · 4 publications · 2K citations

    4

    h-index

  3. Theoretical Population Biology

    TPB · 3 publications · 117 citations

    3

    h-index

  4. Genetics Research

    3 publications · 132 citations

    3

    h-index

  5. Genetics

    2 publications · 92 citations

    2

    h-index

1–5