Dynamic Flux Modeling

Dynamic Flux Modeling is a computational framework that belongs to the class of metabolic flux analysis methods, distinguished by its explicit incorporation of time-varying concentration data to infer transient flux distributions in metabolic networks.

86

Publications

4.1K

Citations

290

Authors

140

Institutions

Publications per year

2017–2026

22

Authors

290

  1. EO
    Eberhard O. Voit

    Georgia Institute of Technology, United States

    5 publications · 176 citations

    5

    h-index

  2. MA
    Michael A. Henson

    University of Massachusetts Amherst, United States

    4 publications · 363 citations

    4

    h-index

  3. WH
    William Hohenschuh

    Oregon State University, United States

    2 publications · 34 citations

    2

    h-index

  4. AV
    Alain Vande Wouwer

    University of Mons, Belgium

    2 publications · 76 citations

    2

    h-index

  5. RE
    Ronald E. Hector

    National Center for Agricultural Utilization Research, United States

    2 publications · 34 citations

    2

    h-index

1–5 of 290

Venues

  1. Biotechnology Progress

    6 publications · 195 citations

    6

    h-index

  2. Metabolic Engineering

    5 publications · 539 citations

    5

    h-index

  3. PLoS ONE

    5 publications · 369 citations

    5

    h-index

  4. BMC Bioinformatics

    3 publications · 218 citations

    3

    h-index

  5. BMC Systems Biology

    3 publications · 132 citations

    3

    h-index

1–5