Additivity Modeling

Additivity Modeling is a computational or statistical framework within combination therapy repurposing that quantifies the expected therapeutic effect of a drug pair based on the assumption that their combined effect is the sum of their individual effects, thereby enabling the identification of synergistic or antagonistic interactions by comparison to the additive baseline.

475

Publications

27K

Citations

1.3K

Authors

543

Institutions

Publications per year

2017–2026

67

Authors

1.3K

  1. CG
    Chris Gennings

    Icahn School of Medicine at Mount Sinai, United States

    9 publications · 409 citations

    9

    h-index

  2. JE
    Jane Ellen Simmons

    Environmental Protection Agency, United States

    6 publications · 211 citations

    6

    h-index

  3. ZB
    Zvonimir B. Maksić

    Ruđer Bošković Institute, Croatia

    5 publications · 148 citations

    5

    h-index

  4. JF
    Joel F. Liebman

    University of Maryland, Baltimore County, United States

    4 publications · 374 citations

    4

    h-index

  5. PA
    Paul A. White

    Health Canada, Canada

    4 publications · 138 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. The Journal of Chemical Physics

    26 publications · 1.5K citations

    23

    h-index

  2. The Journal of Physical Chemistry A

    17 publications · 463 citations

    14

    h-index

  3. Environmental Science & Technology

    11 publications · 1K citations

    11

    h-index

  4. Canadian Journal of Chemistry

    11 publications · 414 citations

    11

    h-index

  5. Journal of Chemical & Engineering Data

    9 publications · 511 citations

    9

    h-index

1–5