Pharmacological Knowledge Graphs

Pharmacological Knowledge Graph is a structured knowledge representation framework that integrates pharmacological entities and their relationships into a graph-based data model, where nodes denote drugs, targets, diseases, or related biological concepts and edges represent mechanistic, interactional, or semantic associations grounded in pharmacological evidence.

17

Publications

6.9K

Citations

90

Authors

40

Institutions

Publications per year

2017–2026

10

Variants

Pharmacological Knowledge Graph

Authors

90

  1. RB
    Russ B. Altman

    Stanford University, United States

    4 publications · 526 citations

    4

    h-index

  2. TE
    Teri E. Klein

    Stanford University, United States

    3 publications · 417 citations

    3

    h-index

  3. DE
    Diane E. Oliver

    Stanford University, United States

    2 publications · 54 citations

    2

    h-index

  4. DL
    Daniel L. Rubin

    Stanford University, United States

    2 publications · 54 citations

    2

    h-index

  5. MH
    Micheal Hewett

    Stanford Medicine, United States

    2 publications · 472 citations

    2

    h-index

1–5 of 90

Venues

  1. Methods in molecular biology

    Book series · 2 publications · 378 citations

    2

    h-index

  2. Journal of Biomedical Informatics

    2 publications · 140 citations

    2

    h-index

  3. Pharmacogenetics

    1 publications · 22 citations

    1

    h-index

  4. Journal of Ethnopharmacology

    1 publications · 83 citations

    1

    h-index

  5. Phytomedicine

    1 publications · 25 citations

    1

    h-index

1–5