Drug Knowledge Representation

Drug Knowledge Representation is a structured computational framework within pharmacoinformatics that formally encodes drug-related entities, properties, and relationships to enable machine-readable understanding and reasoning about pharmacological information.

932

Publications

69.8K

Citations

3.8K

Authors

1.2K

Institutions

Publications per year

2017–2026

573

Authors

3.8K

  1. RB
    Russ B. Altman

    Stanford University, United States

    14 publications · 909 citations

    13

    h-index

  2. CG
    Christopher G. Chute

    Mayo Clinic, United States

    12 publications · 261 citations

    11

    h-index

  3. WZ
    Wen Zhang

    Wuhan University, China

    11 publications · 708 citations

    11

    h-index

  4. CX
    Cao Xiao

    Georgia Institute of Technology, United States

    11 publications · 1.7K citations

    11

    h-index

  5. XZ
    Xiangxiang Zeng

    Hunan University, China

    10 publications · 884 citations

    10

    h-index

1–5 of 3.8K

Venues

  1. Briefings in Bioinformatics

    51 publications · 3.6K citations

    36

    h-index

  2. Bioinformatics

    40 publications · 7K citations

    30

    h-index

  3. Journal of Biomedical Informatics

    33 publications · 1.8K citations

    26

    h-index

  4. Journal of Chemical Information and Modeling

    JCIM · 36 publications · 2K citations

    24

    h-index

  5. BMC Bioinformatics

    28 publications · 1.3K citations

    23

    h-index

1–5