Metabolic Network Analysis

Metabolic Network Analysis is a computational and mathematical framework that systematically studies the structure, function, and dynamics of metabolic reaction networks by integrating biochemical pathways and stoichiometric, thermodynamic, or flux constraints to elucidate the organization and regulation of cellular metabolism.

970

Publications

85.1K

Citations

3.1K

Authors

1.1K

Institutions

Publications per year

2017–2026

187

Authors

3.1K

  1. BØ
    Bernhard Ø. Palsson

    University of California San Diego, United States

    44 publications · 5.8K citations

    36

    h-index

  2. JN
    Jens Nielsen

    Chalmers University of Technology, Sweden

    23 publications · 4.1K citations

    23

    h-index

  3. SK
    Steffen Klamt

    Max Planck Institute for Dynamics of Complex Technical Systems, Germany

    22 publications · 3.7K citations

    20

    h-index

  4. SS
    Stefan Schuster

    Friedrich Schiller University Jena, Germany

    20 publications · 4.2K citations

    18

    h-index

  5. JA
    Jason A. Papin

    University of Virginia, United States

    15 publications · 1.8K citations

    15

    h-index

1–5 of 3.1K

Venues

  1. Bioinformatics

    78 publications · 7.3K citations

    44

    h-index

  2. BMC Bioinformatics

    43 publications · 3K citations

    31

    h-index

  3. BMC Systems Biology

    41 publications · 2.3K citations

    27

    h-index

  4. Journal of Theoretical Biology

    45 publications · 7.4K citations

    26

    h-index

  5. Metabolic Engineering

    29 publications · 1.7K citations

    25

    h-index

1–5