Biomedical Knowledge Graph Construction

Biomedical Knowledge Graph Construction is the systematic process of integrating and structuring heterogeneous biomedical data into a unified, machine-readable graph format that explicitly represents entities and their relationships to enable advanced knowledge discovery and inference in the context of gene-disease associations.

297

Publications

13.7K

Citations

1.6K

Authors

625

Institutions

Publications per year

2017–2026

197

Authors

1.6K

  1. HL
    Hongfei Lin

    Dalian University of Technology, China

    6 publications · 239 citations

    6

    h-index

  2. SE
    Sergio E. Baranzini

    University of California, San Francisco, United States

    6 publications · 844 citations

    6

    h-index

  3. ZY
    Zhihao Yang

    Dalian University of Technology, China

    6 publications · 275 citations

    6

    h-index

  4. ZY
    Zhu‐Hong You

    Xinjiang Technical Institute of Physics & Chemistry, China

    5 publications · 421 citations

    5

    h-index

  5. DS
    Dinggang Shen

    University of North Carolina at Chapel Hill, United States

    4 publications · 203 citations

    4

    h-index

1–5 of 1.6K

Venues

  1. Bioinformatics

    21 publications · 1.3K citations

    17

    h-index

  2. Briefings in Bioinformatics

    13 publications · 1K citations

    13

    h-index

  3. BMC Bioinformatics

    11 publications · 498 citations

    11

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 11 publications · 282 citations

    10

    h-index

  5. Journal of Biomedical Informatics

    10 publications · 249 citations

    10

    h-index

1–5