Integrated Network Visualization

Integrated Network Visualization is a multi-omics visualization approach that integrates heterogeneous biological data types into a unified network representation to reveal interrelated molecular relationships across distinct omics layers.

19

Publications

1.2K

Citations

90

Authors

45

Institutions

Publications per year

2017–2026

3

Authors

90

  1. FS
    Falk Schreiber

    Monash University, Australia

    2 publications · 91 citations

    2

    h-index

  2. CK
    Christian Klukas

    Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK), Germany

    2 publications · 91 citations

    2

    h-index

  3. JL
    Jun Luo

    China Pharmaceutical University, China

    1 publications · 25 citations

    1

    h-index

  4. CT
    Chi-Hung Tsai

    National Yang Ming Chiao Tung University, Taiwan

    1 publications · 53 citations

    1

    h-index

  5. GZ
    Guangyan Zhou

    McGill University, Canada

    1 publications · 58 citations

    1

    h-index

1–5 of 90

Venues

  1. BMC Bioinformatics

    5 publications · 261 citations

    5

    h-index

  2. Biology Direct

    BD · 1 publications · 43 citations

    1

    h-index

  3. PLoS Computational Biology

    1 publications · 30 citations

    1

    h-index

  4. Bioinformatics

    1 publications · 252 citations

    1

    h-index

  5. 1

    h-index

1–5