Tumor Evolution Modeling

Tumor Evolution Modeling is a computational framework that reconstructs the temporal and spatial dynamics of somatic alterations in tumor populations to infer evolutionary trajectories and clonal selection pressures within the context of cancer progression.

294

Publications

22.6K

Citations

1.4K

Authors

587

Institutions

Publications per year

2017–2026

148

Authors

1.4K

  1. AR
    Alexander R.A. Anderson

    Moffitt Cancer Center, United States

    15 publications · 1.1K citations

    14

    h-index

  2. RA
    Robert A. Gatenby

    Moffitt Cancer Center, United States

    13 publications · 2.7K citations

    13

    h-index

  3. NB
    Niko Beerenwinkel

    ETH Zurich, Switzerland

    9 publications · 1K citations

    9

    h-index

  4. MA
    Martin A. Nowak

    Harvard University, United States

    8 publications · 2.7K citations

    8

    h-index

  5. FM
    Franziska Michor

    Dana-Farber Cancer Institute, United States

    8 publications · 1.1K citations

    8

    h-index

1–5 of 1.4K

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 15 publications · 3.2K citations

    15

    h-index

  2. Nature Communications

    14 publications · 1.4K citations

    14

    h-index

  3. PLoS Computational Biology

    11 publications · 829 citations

    11

    h-index

  4. Cancer Research

    12 publications · 2K citations

    11

    h-index

  5. Journal of Theoretical Biology

    9 publications · 913 citations

    9

    h-index

1–5