Distant Recurrence Detection

Distant Recurrence Detection is a methodological framework within recurrence monitoring that specifically identifies the re-emergence of a phenomenon, condition, or signal after a prolonged latency period and at a spatially or temporally distant stage from the initial occurrence.

134

Publications

8.2K

Citations

1.1K

Authors

349

Institutions

Publications per year

2017–2026

36

Publications

134

1–5 of 134

Authors

1.1K

  1. MD
    Mitch Dowsett

    Royal Marsden Hospital, United Kingdom

    5 publications · 1.5K citations

    5

    h-index

  2. AM
    Akihiro Miya

    Kuma Hospital, Japan

    4 publications · 122 citations

    4

    h-index

  3. YI
    Yasuhiro Ito

    Kuma Hospital, Japan

    4 publications · 122 citations

    4

    h-index

  4. AM
    Akira Miyauchi

    Kuma Hospital, Japan

    4 publications · 122 citations

    4

    h-index

  5. JC
    Jack Cuzick

    Queen Mary University of London, United Kingdom

    4 publications · 1.4K citations

    4

    h-index

1–5 of 1.1K

Venues

  1. Annals of Surgical Oncology

    11 publications · 930 citations

    11

    h-index

  2. Journal of Clinical Oncology

    8 publications · 1.4K citations

    8

    h-index

  3. 6

    h-index

  4. European Journal of Cancer

    4 publications · 334 citations

    4

    h-index

  5. Journal of Surgical Oncology

    4 publications · 80 citations

    4

    h-index

1–5