Residue Network Analysis

Residue Network Analysis is a computational method in structural biology that identifies and characterizes functionally relevant networks of interacting amino acid residues within a protein to elucidate allosteric communication pathways.

109

Publications

6.3K

Citations

319

Authors

179

Institutions

Publications per year

2017–2026

55

Authors

319

  1. ÖT
    Özlem Taştan Bishop

    Rhodes University, South Africa

    9 publications · 347 citations

    9

    h-index

  2. HL
    Huanxiang Liu

    Lanzhou University, China

    6 publications · 255 citations

    6

    h-index

  3. GM
    Gennady M. Verkhivker

    Chapman University, United States

    6 publications · 179 citations

    6

    h-index

  4. GB
    Guillaume Brysbaert

    Centre National de la Recherche Scientifique, France

    6 publications · 99 citations

    6

    h-index

  5. XY
    Xiaojun Yao

    Lanzhou University, China

    6 publications · 255 citations

    6

    h-index

1–5 of 319

Venues

  1. PLoS ONE

    8 publications · 242 citations

    9

    h-index

  2. Scientific Reports

    7 publications · 621 citations

    7

    h-index

  3. Nucleic Acids Research

    6 publications · 783 citations

    6

    h-index

  4. Journal of Chemical Information and Modeling

    JCIM · 6 publications · 357 citations

    6

    h-index

  5. PLoS Computational Biology

    4 publications · 262 citations

    4

    h-index

1–5