High-throughput Screening Integration

High-Throughput Screening Integration is a methodological framework that systematically incorporates high-throughput screening data into Adverse Outcome Pathway development by enabling the rapid identification and prioritization of molecular initiating events and key events through automated, large-scale chemical testing.

26

Publications

1.7K

Citations

161

Authors

49

Institutions

Publications per year

2017–2026

10

Authors

161

  1. JS
    Jesse S. Boehm

    Broad Institute, United States

    2 publications · 486 citations

    2

    h-index

  2. JB
    Jordan Bryan

    Harvard University, United States

    2 publications · 486 citations

    2

    h-index

  3. TR
    Todd R. Golub

    Dana-Farber Cancer Institute, United States

    2 publications · 486 citations

    2

    h-index

  4. JM
    John M. Krill-Burger

    Broad Institute, United States

    2 publications · 486 citations

    2

    h-index

  5. TY
    Tong Ying Shun

    University of Pittsburgh, United States

    2 publications · 78 citations

    2

    h-index

1–5 of 161

Venues

  1. SLAS DISCOVERY

    6 publications · 460 citations

    6

    h-index

  2. PLoS ONE

    2 publications · 119 citations

    2

    h-index

  3. Drug Discovery Today

    2 publications · 72 citations

    2

    h-index

  4. BMC Bioinformatics

    2 publications · 48 citations

    2

    h-index

  5. Cell Reports Methods

    1 publications · 19 citations

    1

    h-index

1–5