High-throughput Combination Screening

High-Throughput Combination Screening is a systematic experimental methodology that enables the rapid, parallel assessment of numerous drug combinations to identify synergistic interactions, distinguished by its scalable automation and quantitative analysis in drug repurposing research.

75

Publications

7.8K

Citations

508

Authors

162

Institutions

Publications per year

2017–2026

47

Authors

508

  1. JT
    Jing Tang

    University of Helsinki, Finland

    5 publications · 788 citations

    5

    h-index

  2. TA
    Tero Aittokallio

    University of Helsinki, Finland

    3 publications · 1.2K citations

    3

    h-index

  3. CJ
    Craig J. Thomas

    National Institutes of Health, United States

    3 publications · 436 citations

    3

    h-index

  4. AP
    Alberto Pessia

    University of Helsinki, Finland

    3 publications · 503 citations

    3

    h-index

  5. MF
    Marc Ferrer

    National Center for Advancing Translational Sciences, United States

    3 publications · 443 citations

    3

    h-index

1–5 of 508

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 5 publications · 1.4K citations

    5

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 83 citations

    3

    h-index

  3. Bioinformatics

    3 publications · 790 citations

    3

    h-index

  4. Molecular Cancer Therapeutics

    MCT · 3 publications · 488 citations

    3

    h-index

  5. PLoS ONE

    3 publications · 81 citations

    3

    h-index

1–5