Exposure-effect Modeling

Exposure-Effect Modeling is a quantitative methodological framework within environmental and pharmacological risk assessment that characterizes the causal relationship between the magnitude of exposure to a stressor and the corresponding biological or clinical response in a population, distinguished by its integration of dose-response kinetics and statistical inference to predict health outcomes.

143

Publications

8.4K

Citations

636

Authors

298

Institutions

Publications per year

2017–2026

36

Authors

636

  1. DB
    David B. Richardson

    University of North Carolina at Chapel Hill, United States

    4 publications · 108 citations

    4

    h-index

  2. QL
    Qing Lan

    National Cancer Institute, United States

    3 publications · 140 citations

    3

    h-index

  3. SM
    Stephen M. Rappaport

    University of California, Berkeley, United States

    3 publications · 99 citations

    3

    h-index

  4. RV
    Roel Vermeulen

    Utrecht University, Netherlands

    3 publications · 140 citations

    3

    h-index

  5. NR
    Nathaniel Rothman

    National Cancer Institute, United States

    3 publications · 184 citations

    3

    h-index

1–5 of 636

Venues

  1. Epidemiology

    7 publications · 288 citations

    7

    h-index

  2. Journal of Exposure Science & Environmental Epidemiology

    JESEE · 6 publications · 232 citations

    6

    h-index

  3. Biometrics

    6 publications · 1.1K citations

    6

    h-index

  4. American Journal of Epidemiology

    AJE · 5 publications · 199 citations

    5

    h-index

  5. Regulatory Toxicology and Pharmacology

    RTP · 4 publications · 76 citations

    4

    h-index

1–5