Evolutionary Rate Estimation

Evolutionary Rate Estimation is a methodological framework in temporal population genetics that quantifies the rate of genetic change over time by analyzing allele frequency shifts or molecular sequence divergence across temporally spaced samples.

144

Publications

21.3K

Citations

496

Authors

240

Institutions

Publications per year

2017–2026

32

Authors

496

  1. HK
    Hirohisa Kishino

    The University of Tokyo, Japan

    4 publications · 2.4K citations

    4

    h-index

  2. MC
    Maria Chikina

    University of Pittsburgh, United States

    4 publications · 249 citations

    4

    h-index

  3. NL
    Nathan L Clark

    University of Pittsburgh, United States

    4 publications · 249 citations

    4

    h-index

  4. AK
    Amanda Kowalczyk

    University of Pittsburgh, United States

    4 publications · 249 citations

    4

    h-index

  5. OG
    Oliver G. Pybus

    University of Oxford, United Kingdom

    3 publications · 115 citations

    3

    h-index

1–5 of 496

Venues

  1. Molecular Biology and Evolution

    MBE · 21 publications · 2.7K citations

    19

    h-index

  2. Systematic Biology

    12 publications · 2.3K citations

    11

    h-index

  3. Journal of Molecular Evolution

    7 publications · 1.9K citations

    7

    h-index

  4. Evolution

    6 publications · 672 citations

    6

    h-index

  5. PLoS ONE

    5 publications · 222 citations

    5

    h-index

1–5