Metabolic Network Models

Metabolic Network Models is a computational framework that represents the complete set of metabolic reactions within a cell or organism as a structured network of biochemical transformations, distinguished by its integration of stoichiometric constraints, reaction directionality, and system-level objectives to enable predictive analysis of metabolic flux, regulation, and physiological function.

1.5K

Publications

120.1K

Citations

4.1K

Authors

1.3K

Institutions

Publications per year

2017–2026

426

Authors

4.1K

  1. BØ
    Bernhard Ø. Palsson

    University of California San Diego, United States

    67 publications · 12.4K citations

    49

    h-index

  2. JN
    Jens Nielsen

    Chalmers University of Technology, Sweden

    42 publications · 6.7K citations

    32

    h-index

  3. SK
    Steffen Klamt

    Max Planck Institute for Dynamics of Complex Technical Systems, Germany

    25 publications · 3.1K citations

    22

    h-index

  4. VH
    Vassily Hatzimanikatis

    École Polytechnique Fédérale de Lausanne, Switzerland

    20 publications · 1.8K citations

    18

    h-index

  5. JL
    Jennifer L. Reed

    University of Wisconsin–Madison, United States

    18 publications · 1.4K citations

    18

    h-index

1–5 of 4.1K

Venues

  1. Bioinformatics

    85 publications · 10.4K citations

    47

    h-index

  2. PLoS Computational Biology

    91 publications · 8K citations

    45

    h-index

  3. BMC Systems Biology

    89 publications · 5.7K citations

    44

    h-index

  4. PLoS ONE

    55 publications · 2.2K citations

    30

    h-index

  5. BMC Bioinformatics

    44 publications · 3.5K citations

    28

    h-index

1–5