Neutral Network Analysis

Neutral Network Analysis is a computational framework within evolutionary trajectory analysis that identifies and characterizes sets of genotypically distinct yet phenotypically equivalent states, enabling the study of evolutionary robustness and accessibility through neutral drift in genotype-phenotype maps.

48

Publications

2.8K

Citations

159

Authors

82

Institutions

Publications per year

2017–2026

14

Authors

159

  1. AW
    Andreas Wagner

    University of Zurich, Switzerland

    3 publications · 800 citations

    3

    h-index

  2. CO
    Claus O. Wilke

    The University of Texas at Austin, United States

    2 publications · 208 citations

    2

    h-index

  3. OM
    Olivier Martin

    Université Paris-Sud, France

    2 publications · 112 citations

    2

    h-index

  4. RS
    Rob Shipman

    University of Nottingham, United Kingdom

    2 publications · 170 citations

    2

    h-index

  5. CM
    Christian M. Reidys

    Nankai University, China

    2 publications · 233 citations

    2

    h-index

1–5 of 159

Venues

  1. Journal of High Energy Physics

    JHEP · 2 publications · 107 citations

    2

    h-index

  2. BMC Bioinformatics

    2 publications · 129 citations

    2

    h-index

  3. Evolution

    2 publications · 186 citations

    2

    h-index

  4. Bulletin of Mathematical Biology

    2 publications · 223 citations

    2

    h-index

  5. 1

    h-index

1–5