Quorum Sensing Network Modeling

Quorum Sensing Network Modeling is a computational systems biology approach that formally represents and analyzes the dynamic interactions among signaling molecules, regulatory genes, and cellular populations in microbial communities to quantitatively predict collective behaviors arising from quorum sensing mechanisms.

34

Publications

1.8K

Citations

109

Authors

53

Institutions

Publications per year

2017–2026

8

Authors

109

  1. AB
    Andrew B. Goryachev

    University of Edinburgh, United Kingdom

    2 publications · 175 citations

    2

    h-index

  2. GR
    Giovanni Russo

    University of Milan, Italy

    2 publications · 88 citations

    2

    h-index

  3. BA
    Burkhard A. Hense

    Helmholtz Zentrum München, Germany

    2 publications · 58 citations

    2

    h-index

  4. CK
    Christina Kuttler

    Technical University of Munich, Germany

    2 publications · 51 citations

    2

    h-index

  5. AM
    Anna Maslovskaya

    Amur State University, Russia

    2 publications · 35 citations

    2

    h-index

1–5 of 109

Venues

  1. Biosystems

    3 publications · 152 citations

    3

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 638 citations

    2

    h-index

  3. PLoS Computational Biology

    2 publications · 180 citations

    2

    h-index

  4. Bulletin of Mathematical Biology

    2 publications · 50 citations

    2

    h-index

  5. IEEE Transactions on NanoBioscience

    1 publications · 20 citations

    1

    h-index

1–5