Candidate Ranking Models

Candidate Ranking Model is a computational method that, within the context of drug repurposing, systematically prioritizes potential drug candidates by predicting their therapeutic potential against specific diseases based on integrated biological, chemical, or clinical evidence.

75

Publications

3.8K

Citations

310

Authors

169

Institutions

Publications per year

2017–2026

43

Authors

310

  1. MC
    Maykel Cruz‐Monteagudo

    Universidade do Porto, Portugal

    3 publications · 82 citations

    3

    h-index

  2. AL
    Alexandria Lau

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 343 citations

    3

    h-index

  3. SR
    Shitao Rao

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 343 citations

    3

    h-index

  4. HS
    Hon‐Cheong So

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 343 citations

    3

    h-index

  5. QW
    Qianwen Wang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 188 citations

    2

    h-index

1–5 of 310

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 71 citations

    4

    h-index

  2. Bioinformatics

    3 publications · 175 citations

    3

    h-index

  3. Scientific Reports

    3 publications · 96 citations

    3

    h-index

  4. 2

    h-index

  5. PubMed

    Repository · 2 publications · 47 citations

    2

    h-index

1–5