Likelihood-based Molecular Dating

Likelihood-Based Molecular Dating is a statistical framework for estimating divergence times in phylogenetic trees by maximizing the likelihood of observed molecular sequence data under a specified model of evolution and calibrated time constraints.

46

Publications

4.6K

Citations

178

Authors

107

Institutions

Publications per year

2017–2026

7

Authors

178

  1. JM
    James M. Cook

    Imperial College London, United Kingdom

    2 publications · 355 citations

    2

    h-index

  2. MJ
    Michael J. Donoghue

    Yale University, United States

    2 publications · 515 citations

    2

    h-index

  3. JW
    Jun Wen

    Smithsonian Institution, United States

    2 publications · 79 citations

    2

    h-index

  4. TV
    Timotheüs van der Niet

    University of KwaZulu-Natal, South Africa

    2 publications · 88 citations

    2

    h-index

  5. MJ
    Michael J. Sanderson

    University of Massachusetts Chan Medical School, United States

    1 publications · 255 citations

    1

    h-index

1–5 of 178

Venues

  1. Molecular Phylogenetics and Evolution

    8 publications · 1.1K citations

    8

    h-index

  2. American Journal of Botany

    3 publications · 458 citations

    3

    h-index

  3. PLoS ONE

    3 publications · 229 citations

    3

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 232 citations

    2

    h-index

  5. Gene

    2 publications · 97 citations

    2

    h-index

1–5