Shared Gene Set Analysis

Shared Gene Set Analysis is a comparative genomics approach that identifies and evaluates the core set of homologous genes conserved across multiple genomes to infer functional and evolutionary relationships among organisms.

14

Publications

920

Citations

81

Authors

38

Institutions

Publications per year

2017–2026

6

Authors

81

  1. LW
    Liewei Wang

    Mayo Clinic, United States

    1 publications · 12 citations

    1

    h-index

  2. YZ
    Yun Zhu

    Tulane University, United States

    1 publications · 28 citations

    1

    h-index

  3. XL
    Xiaohan Lin

    Fujian Medical University, China

    1 publications · 29 citations

    1

    h-index

  4. TK
    Tatsuhiko Kadowaki

    Nagoya University, Japan

    1 publications · 18 citations

    1

    h-index

  5. JZ
    Jinying Zhao

    University of Florida, United States

    1 publications · 28 citations

    1

    h-index

1–5 of 81

Venues

  1. BMC Genomics

    1 publications · 18 citations

    1

    h-index

  2. British Journal of Cancer

    BJC · 1 publications · 83 citations

    1

    h-index

  3. Frontiers in Microbiology

    1 publications · 26 citations

    1

    h-index

  4. Psychological Medicine

    1 publications · 42 citations

    1

    h-index

  5. Nature Communications

    1 publications · 39 citations

    1

    h-index

1–5