Comparative Oncogenic Network Analysis

Comparative Oncogenic Network Analysis is a computational framework that integrates and contrasts molecular interaction networks across species or cancer types to identify evolutionarily conserved and divergent pathways driving oncogenesis.

3

Publications

394

Citations

36

Authors

11

Institutions

Publications per year

2017–2026

1

Authors

36

  1. KZ
    Kevin Zhu

    The University of Texas Health Science Center at Houston, United States

    1 publications · 88 citations

    1

    h-index

  2. YZ
    Yubo Zhou

    Shanghai Institute of Materia Medica, China

    1 publications · 88 citations

    1

    h-index

  3. CT
    Cui Tao

    The University of Texas Health Science Center at Houston, United States

    1 publications · 88 citations

    1

    h-index

  4. JR
    Jane Rogers

    Wellcome Sanger Institute, United Kingdom

    1 publications · 182 citations

    1

    h-index

  5. NS
    Nidhi Sahni

    The University of Texas MD Anderson Cancer Center, United States

    1 publications · 124 citations

    1

    h-index

1–5 of 36

Venues

  1. Cell

    1 publications · 182 citations

    1

    h-index

  2. Nucleic Acids Research

    1 publications · 124 citations

    1

    h-index

  3. BMC Genomics

    1 publications · 88 citations

    1

    h-index

1–3