Early Recurrence Detection

Early Recurrence Detection is a methodological framework within recurrence surveillance that enables the identification of disease reappearance shortly after initial treatment through sensitive longitudinal monitoring and predictive biomarker analysis.

546

Publications

30.9K

Citations

4.7K

Authors

1.2K

Institutions

Publications per year

2017–2026

214

Authors

4.7K

  1. JF
    Jia Fan

    Fudan University, China

    7 publications · 574 citations

    7

    h-index

  2. SK
    Shishir K. Maithel

    Emory University, United States

    6 publications · 471 citations

    6

    h-index

  3. GA
    George A. Poultsides

    Stanford University, United States

    6 publications · 471 citations

    6

    h-index

  4. TM
    Timothy M. Pawlik

    The Ohio State University Wexner Medical Center, United States

    6 publications · 503 citations

    6

    h-index

  5. FS
    Feng Shen

    Second Military Medical University, China

    5 publications · 455 citations

    5

    h-index

1–5 of 4.7K

Venues

  1. PubMed

    Repository · 37 publications · 1.8K citations

    22

    h-index

  2. Annals of Surgical Oncology

    12 publications · 625 citations

    11

    h-index

  3. PLoS ONE

    10 publications · 536 citations

    10

    h-index

  4. World Journal of Surgery

    9 publications · 481 citations

    9

    h-index

  5. Cancer

    9 publications · 1.2K citations

    9

    h-index

1–5