Comorbidity Network Analysis

Comorbidity Network Analysis is a network-based analytical framework that maps and examines the non-random co-occurrence of diseases within a population by structuring them as nodes and their pairwise associations as edges to uncover shared biological mechanisms, risk factors, or clinical patterns underlying multiple concurrent disorders.

184

Publications

12.3K

Citations

944

Authors

470

Institutions

Publications per year

2017–2026

154

Authors

944

  1. PJ
    Payton J. Jones

    Harvard University, United States

    10 publications · 2.4K citations

    10

    h-index

  2. YX
    Yu‐Tao Xiang

    University of Macau, Macao SAR China

    6 publications · 373 citations

    6

    h-index

  3. TC
    Teris Cheung

    Hong Kong Polytechnic University, Hong Kong SAR China

    6 publications · 373 citations

    6

    h-index

  4. ZS
    Zhaohui Su

    University of Macau, Macao SAR China

    5 publications · 347 citations

    5

    h-index

  5. SU
    Shahadat Uddin

    The University of Sydney, Australia

    5 publications · 220 citations

    5

    h-index

1–5 of 944

Venues

  1. Journal of Affective Disorders

    19 publications · 1.1K citations

    17

    h-index

  2. Scientific Reports

    8 publications · 444 citations

    9

    h-index

  3. 6

    h-index

  4. PLoS ONE

    5 publications · 416 citations

    5

    h-index

  5. Frontiers in Psychiatry

    3 publications · 86 citations

    4

    h-index

1–5