Biphasic Response Modeling

Biphasic Response Modeling is an exposure-response modeling approach that characterizes dose- or exposure-dependent effects exhibiting two distinct phases—typically an initial stimulatory or beneficial effect at low levels followed by an inhibitory or adverse effect at higher levels—thereby distinguishing it from monotonic or uniphasic response models.

64

Publications

3.7K

Citations

277

Authors

124

Institutions

Publications per year

2017–2026

12

Authors

277

  1. JF
    James F. Grutsch

    Cancer Treatment Centers of America, United States

    1 publications · 15 citations

    1

    h-index

  2. GP
    GEERT‐JAN P. KIMMAN

    Erasmus University Rotterdam, Netherlands

    1 publications · 172 citations

    1

    h-index

  3. LP
    Lila Poiteau

    Inserm, France

    1 publications · 19 citations

    1

    h-index

  4. JA
    José Alfredo Carrillo-Salazar

    Colegio de Postgraduados, Mexico

    1 publications · 11 citations

    1

    h-index

  5. JG
    Joseph Gauthier

    University of Alabama at Birmingham, United States

    1 publications · 65 citations

    1

    h-index

1–5 of 277

Venues

  1. PLoS Computational Biology

    3 publications · 125 citations

    3

    h-index

  2. PLoS ONE

    3 publications · 74 citations

    3

    h-index

  3. Scientific Reports

    3 publications · 99 citations

    3

    h-index

  4. Journal of the American College of Cardiology

    JACC · 2 publications · 297 citations

    2

    h-index

  5. Journal of Neuroscience

    2 publications · 221 citations

    2

    h-index

1–5