Gene Tree Inference

Gene Tree Inference is the computational and statistical process of reconstructing the evolutionary relationships among homologous gene sequences from their molecular variation, distinguishing itself from species tree inference by focusing on the phylogenetic history of individual genes, including events such as duplication, loss, and incomplete lineage sorting.

1.2K

Publications

229.1K

Citations

3.3K

Authors

1.2K

Institutions

Publications per year

2017–2026

311

Authors

3.3K

  1. TW
    Tandy Warnow

    The University of Texas at Austin, United States

    28 publications · 5.3K citations

    25

    h-index

  2. SM
    Siavash Mirarab

    University of California San Diego, United States

    27 publications · 8.8K citations

    24

    h-index

  3. ZY
    Ziheng Yang

    University College London, United Kingdom

    21 publications · 6.1K citations

    20

    h-index

  4. MS
    Mukul S. Bansal

    University of Connecticut, United States

    21 publications · 1.4K citations

    18

    h-index

  5. LN
    Luay Nakhleh

    Rice University, United States

    23 publications · 2.4K citations

    18

    h-index

1–5 of 3.3K

Venues

  1. Systematic Biology

    143 publications · 52K citations

    82

    h-index

  2. Molecular Biology and Evolution

    MBE · 83 publications · 61.6K citations

    53

    h-index

  3. Molecular Phylogenetics and Evolution

    101 publications · 8.4K citations

    50

    h-index

  4. Bioinformatics

    60 publications · 18.2K citations

    37

    h-index

  5. Evolution

    30 publications · 4.7K citations

    26

    h-index

1–5