Drug Knowledge Graphs

Drug Knowledge Graphs is a structured knowledge representation framework that integrates and organizes drug-related entities and their semantic relationships through graph-based data models to enable advanced reasoning, inference, and discovery in pharmaceutical research.

125

Publications

5.9K

Citations

581

Authors

248

Institutions

Publications per year

2017–2026

106

Authors

581

  1. TM
    Tengfei Ma

    IBM (United States), United States

    4 publications · 692 citations

    4

    h-index

  2. CX
    Cao Xiao

    Georgia Institute of Technology, United States

    3 publications · 338 citations

    3

    h-index

  3. DL
    Duc‐Hau Le

    Thuyloi University, Vietnam

    3 publications · 233 citations

    3

    h-index

  4. MS
    Mohammad Sadoghi

    University of California, Davis, United States

    3 publications · 136 citations

    3

    h-index

  5. PZ
    Ping Zhang

    The Ohio State University, United States

    3 publications · 136 citations

    3

    h-index

1–5 of 581

Venues

  1. Journal of Biomedical Informatics

    8 publications · 427 citations

    8

    h-index

  2. 7

    h-index

  3. Briefings in Bioinformatics

    6 publications · 495 citations

    6

    h-index

  4. Bioinformatics

    6 publications · 390 citations

    6

    h-index

  5. Scientific Reports

    5 publications · 236 citations

    5

    h-index

1–5