Sentinel Node Prediction Models

Sentinel Node Prediction Models is a computational framework that identifies the most probable lymph node to first receive metastatic spread from a primary tumor by integrating anatomical, pathological, and imaging data to guide clinical decision-making in cancer staging.

232

Publications

14.2K

Citations

1.7K

Authors

623

Institutions

Publications per year

2017–2026

76

Publications

232

1–5 of 232

Authors

1.7K

  1. MI
    Merrick I. Ross

    The University of Texas MD Anderson Cancer Center, United States

    9 publications · 981 citations

    9

    h-index

  2. KJ
    Kimberly J. Van Zee

    Memorial Sloan Kettering Cancer Center, United States

    7 publications · 1.6K citations

    7

    h-index

  3. JF
    John F. Thompson

    Royal Prince Alfred Hospital, Australia

    7 publications · 555 citations

    7

    h-index

  4. RR
    Roman Rouzier

    Sorbonne Université, France

    6 publications · 484 citations

    6

    h-index

  5. RA
    Richard A. Scolyer

    Royal Prince Alfred Hospital, Australia

    6 publications · 399 citations

    6

    h-index

1–5 of 1.7K

Venues

  1. Annals of Surgical Oncology

    41 publications · 4.1K citations

    30

    h-index

  2. European Journal of Surgical Oncology

    EJSO · 12 publications · 503 citations

    12

    h-index

  3. Journal of Clinical Oncology

    8 publications · 1.4K citations

    8

    h-index

  4. PubMed

    Repository · 7 publications · 150 citations

    7

    h-index

  5. Breast Cancer Research and Treatment

    6 publications · 338 citations

    6

    h-index

1–5