Systematic Data Integration

Systematic Data Integration is a scholarly methodology that synthesizes heterogeneous biological and taxonomic data through standardized, replicable frameworks to infer evolutionary relationships and refine classification systems within the domain of integrative systematics.

126

Publications

12.1K

Citations

849

Authors

408

Institutions

Publications per year

2017–2026

59

Authors

849

  1. PK
    Pouya Khankhanian

    University of California, San Francisco, United States

    3 publications · 699 citations

    3

    h-index

  2. SE
    Sergio E. Baranzini

    University of California, San Francisco, United States

    3 publications · 699 citations

    3

    h-index

  3. VB
    Vladimı́r Beneš

    European Molecular Biology Laboratory, Germany

    2 publications · 229 citations

    2

    h-index

  4. CH
    Christine Hessler

    University of California, San Francisco, United States

    2 publications · 660 citations

    2

    h-index

  5. AL
    Antoine Lizée

    University of California, San Francisco, United States

    2 publications · 660 citations

    2

    h-index

1–5 of 849

Venues

  1. BMC Bioinformatics

    6 publications · 201 citations

    6

    h-index

  2. Nucleic Acids Research

    5 publications · 621 citations

    5

    h-index

  3. PLoS Computational Biology

    4 publications · 396 citations

    4

    h-index

  4. PLoS ONE

    4 publications · 1.2K citations

    4

    h-index

  5. Bioinformatics

    3 publications · 470 citations

    3

    h-index

1–5