Substitution Models

Substitution Models is a probabilistic framework within phylogenetic sequence analysis that specifies the relative rates at which nucleotide or amino acid states replace one another over evolutionary time, distinguishing it from other evolutionary models by quantifying state transition frequencies along sequence alignments.

639

Publications

238.4K

Citations

1.4K

Authors

607

Institutions

Publications per year

2017–2026

115

Authors

1.4K

  1. ZY
    Ziheng Yang

    University College London, United Kingdom

    20 publications · 10.8K citations

    20

    h-index

  2. DP
    David Posada

    Universidade de Vigo, Spain

    15 publications · 32K citations

    15

    h-index

  3. NG
    Nick Goldman

    European Bioinformatics Institute, United Kingdom

    16 publications · 7.1K citations

    15

    h-index

  4. SL
    Sergei L. Kosakovsky Pond

    University of California San Diego, United States

    13 publications · 3.8K citations

    13

    h-index

  5. NL
    Nicolas Lartillot

    Centre National de la Recherche Scientifique, France

    12 publications · 3.3K citations

    12

    h-index

1–5 of 1.4K

Venues

  1. Molecular Biology and Evolution

    MBE · 146 publications · 91K citations

    70

    h-index

  2. Systematic Biology

    51 publications · 40.2K citations

    41

    h-index

  3. Journal of Molecular Evolution

    36 publications · 7K citations

    25

    h-index

  4. Bioinformatics

    29 publications · 56.3K citations

    21

    h-index

  5. Genetics

    22 publications · 3.2K citations

    20

    h-index

1–5