Biological Network Alignment

Biological Network Alignment is a computational method that identifies conserved patterns and functional correspondences between molecular networks of different species by aligning nodes and edges based on biological and topological similarity.

98

Publications

5.7K

Citations

242

Authors

128

Institutions

Publications per year

2017–2026

37

Authors

242

  1. TM
    Tijana Milenković

    University of Notre Dame, United States

    19 publications · 1.4K citations

    18

    h-index

  2. NP
    Nataša Pržulj

    Imperial College London, United Kingdom

    9 publications · 1.2K citations

    9

    h-index

  3. MC
    Mario Cannataro

    Magna Graecia University, Italy

    4 publications · 80 citations

    5

    h-index

  4. TK
    Tamer Kahveci

    University of Florida, United States

    5 publications · 96 citations

    5

    h-index

  5. WB
    Wayne B. Hayes

    University of California, Irvine, United States

    5 publications · 773 citations

    5

    h-index

1–5 of 242

Venues

  1. Bioinformatics

    25 publications · 2K citations

    23

    h-index

  2. 14

    h-index

  3. BMC Bioinformatics

    6 publications · 168 citations

    6

    h-index

  4. PLoS ONE

    4 publications · 204 citations

    4

    h-index

  5. Scientific Reports

    4 publications · 136 citations

    4

    h-index

1–5