Graph-based Pathway Visualization

Graph-Based Pathway Visualization is a computational framework that uses graph structures to represent and analyze biological pathways, distinguishing itself by explicitly modeling molecular entities as nodes and their interactions as edges to facilitate the visualization of complex biochemical processes.

36

Publications

5.6K

Citations

137

Authors

82

Institutions

Publications per year

2017–2026

9

Authors

137

  1. FS
    Falk Schreiber

    Monash University, Australia

    5 publications · 118 citations

    5

    h-index

  2. DS
    Dieter Schmalstieg

    Graz University of Technology, Austria

    3 publications · 95 citations

    3

    h-index

  3. MS
    Marc Streit

    Johannes Kepler University of Linz, Austria

    3 publications · 95 citations

    3

    h-index

  4. CP
    Christian Partl

    Graz University of Technology, Austria

    2 publications · 77 citations

    2

    h-index

  5. UD
    Uğur Doğrusöz

    Bilkent University, Türkiye

    2 publications · 86 citations

    2

    h-index

1–5 of 137

Venues

  1. Bioinformatics

    6 publications · 2.9K citations

    6

    h-index

  2. PLoS Computational Biology

    3 publications · 558 citations

    3

    h-index

  3. BMC Bioinformatics

    2 publications · 953 citations

    2

    h-index

  4. Computer Graphics Forum

    2 publications · 35 citations

    2

    h-index

  5. F1000Research

    2 publications · 96 citations

    2

    h-index

1–5