Mutation Hotspot Analysis

Mutation Hotspot Analysis is a computational method in mutation analysis that identifies and characterizes genomic regions with a significantly higher frequency of mutations compared to surrounding sequences, enabling the detection of functionally relevant sites implicated in disease or evolutionary processes.

204

Publications

11.3K

Citations

1.8K

Authors

598

Institutions

Publications per year

2017–2026

66

Authors

1.8K

  1. MJ
    Mark J. Routbort

    The University of Texas MD Anderson Cancer Center, United States

    3 publications · 756 citations

    3

    h-index

  2. SK
    Scott Kopetz

    The University of Texas MD Anderson Cancer Center, United States

    3 publications · 484 citations

    3

    h-index

  3. CH
    Christian Hafner

    University of Regensburg, Germany

    3 publications · 108 citations

    3

    h-index

  4. FM
    Funda Meric‐Bernstam

    The University of Texas MD Anderson Cancer Center, United States

    3 publications · 484 citations

    3

    h-index

  5. DM
    David M. DeMarini

    Environmental Protection Agency, United States

    3 publications · 137 citations

    3

    h-index

1–5 of 1.8K

Venues

  1. Human Mutation

    8 publications · 378 citations

    8

    h-index

  2. PubMed

    Repository · 7 publications · 149 citations

    7

    h-index

  3. PLoS ONE

    6 publications · 299 citations

    6

    h-index

  4. Carcinogenesis

    6 publications · 533 citations

    6

    h-index

  5. Human Molecular Genetics

    5 publications · 291 citations

    5

    h-index

1–5