Integrated Risk Models

Integrated Risk Models is a computational framework that combines polygenic risk scores with clinical and environmental factors to provide a comprehensive assessment of individual breast cancer risk.

109

Publications

7.9K

Citations

527

Authors

275

Institutions

Publications per year

2017–2026

42

Authors

527

  1. MG
    Montserrat García‐Closas

    National Cancer Institute, United States

    3 publications · 943 citations

    3

    h-index

  2. NC
    Nilanjan Chatterjee

    National Cancer Institute, United States

    3 publications · 943 citations

    3

    h-index

  3. CM
    Celine M. Vachon

    Mayo Clinic, United States

    3 publications · 116 citations

    3

    h-index

  4. SR
    Steven R. Cummings

    University of California, San Francisco, United States

    2 publications · 44 citations

    2

    h-index

  5. OA
    Olga Aneziris

    National Centre of Scientific Research "Demokritos", Greece

    2 publications · 36 citations

    2

    h-index

1–5 of 527

Venues

  1. Risk Analysis

    4 publications · 156 citations

    4

    h-index

  2. 3

    h-index

  3. The Journal of Risk Finance

    2 publications · 130 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 89 citations

    2

    h-index

  5. European Journal of Operational Research

    2 publications · 80 citations

    2

    h-index

1–5