Biological Knowledge Graphs

Biological Knowledge Graphs is a structured semantic network that integrates heterogeneous biological entities and their relationships, distinguished by its formal representation of multi-omics data, functional annotations, and mechanistic interactions to enable computational reasoning in systems biology and precision medicine.

290

Publications

15.1K

Citations

1.2K

Authors

508

Institutions

Publications per year

2017–2026

128

Variants

Biokgs

Authors

1.2K

  1. ED
    Emek Demir

    Oregon Health & Science University, United States

    6 publications · 207 citations

    6

    h-index

  2. HM
    Huaiyu Mi

    University of Southern California, United States

    6 publications · 207 citations

    6

    h-index

  3. NL
    Nicolas Le Novère

    European Bioinformatics Institute, United Kingdom

    6 publications · 501 citations

    6

    h-index

  4. AV
    Alice Villéger

    University of Manchester, United Kingdom

    6 publications · 501 citations

    6

    h-index

  5. DD
    Daniel Domingo‐Fernándéz

    Fraunhofer Institute for Algorithms and Scientific Computing, Germany

    6 publications · 258 citations

    6

    h-index

1–5 of 1.2K

Venues

  1. Bioinformatics

    35 publications · 2.3K citations

    25

    h-index

  2. BMC Bioinformatics

    20 publications · 1.3K citations

    16

    h-index

  3. Journal of Biomedical Informatics

    10 publications · 1.1K citations

    10

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 10 publications · 239 citations

    10

    h-index

  5. PLoS ONE

    8 publications · 387 citations

    8

    h-index

1–5