Repurposing Candidate Prioritization

Repurposing Candidate Prioritization is a computational methodology that ranks potential therapeutic uses of existing drugs by integrating diverse biological, chemical, and clinical data to identify the most promising drug-disease associations for further experimental or clinical validation.

39

Publications

2.7K

Citations

232

Authors

116

Institutions

Publications per year

2017–2026

34

Authors

232

  1. AL
    Antoine Lizée

    University of California, San Francisco, United States

    2 publications · 660 citations

    2

    h-index

  2. CH
    Christine Hessler

    University of California, San Francisco, United States

    2 publications · 660 citations

    2

    h-index

  3. PK
    Pouya Khankhanian

    University of California, San Francisco, United States

    2 publications · 660 citations

    2

    h-index

  4. SC
    Sabrina Chen

    Johns Hopkins University, United States

    2 publications · 660 citations

    2

    h-index

  5. WW
    Wei‐Qi Wei

    Vanderbilt University Medical Center, United States

    2 publications · 121 citations

    2

    h-index

1–5 of 232

Venues

  1. 3

    h-index

  2. Frontiers in Pharmacology

    2 publications · 58 citations

    2

    h-index

  3. Nature Communications

    2 publications · 356 citations

    2

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 61 citations

    2

    h-index

  5. Scientific Reports

    1 publications · 35 citations

    1

    h-index

1–5