Motif Analysis

Motif Analysis is a network analysis technique that identifies and quantifies recurrent, statistically significant subgraph patterns—known as motifs—within complex networks to reveal underlying structural design principles and functional properties distinct from those discernible through global network metrics.

542

Publications

47.5K

Citations

2.3K

Authors

902

Institutions

Publications per year

2017–2026

216

Authors

2.3K

  1. TL
    Timothy L. Bailey

    The University of Queensland, Australia

    8 publications · 4.1K citations

    8

    h-index

  2. JV
    Jacques van Helden

    Université Libre de Bruxelles, Belgium

    5 publications · 940 citations

    5

    h-index

  3. PR
    Pedro Ribeiro

    Universidade do Porto, Portugal

    5 publications · 225 citations

    5

    h-index

  4. MT
    Morgane Thomas‐Chollier

    Centre National de la Recherche Scientifique, France

    5 publications · 940 citations

    5

    h-index

  5. FS
    Fernando Silva

    Universidade do Porto, Portugal

    5 publications · 225 citations

    5

    h-index

1–5 of 2.3K

Venues

  1. Nucleic Acids Research

    30 publications · 3.6K citations

    22

    h-index

  2. Bioinformatics

    25 publications · 4.9K citations

    18

    h-index

  3. PLoS ONE

    22 publications · 1K citations

    16

    h-index

  4. Scientific Reports

    16 publications · 509 citations

    15

    h-index

  5. BMC Bioinformatics

    11 publications · 1.3K citations

    11

    h-index

1–5