Michaelis-menten Distribution

Michaelis-Menten Distribution is a theoretical probability distribution modeling the stochastic dynamics of substrate turnover in enzymatic reactions, derived from the Michaelis-Menten kinetic framework by characterizing the distribution of reaction times under capacity-limited conditions.

95

Publications

4.3K

Citations

312

Authors

119

Institutions

Publications per year

2017–2026

4

Authors

312

  1. JG
    John G. Wagner

    University of Michigan, United States

    3 publications · 220 citations

    3

    h-index

  2. JG
    Johan Gabrielsson

    AstraZeneca (Sweden), Sweden

    2 publications · 138 citations

    2

    h-index

  3. KM
    Kathleen M. Giacomini

    University of California, San Francisco, United States

    2 publications · 44 citations

    2

    h-index

  4. XY
    Xiao-Zhang Yu

    Guilin University of Technology, China

    2 publications · 48 citations

    2

    h-index

  5. TN
    Thomas N. Tozer

    University of California, San Francisco, United States

    2 publications · 36 citations

    2

    h-index

1–5 of 312

Venues

  1. PubMed

    Repository · 8 publications · 221 citations

    8

    h-index

  2. 6

    h-index

  3. 6

    h-index

  4. Journal of Pharmacy and Pharmacology

    JPP · 3 publications · 86 citations

    3

    h-index

  5. Clinical Pharmacology & Therapeutics

    CPT · 3 publications · 208 citations

    3

    h-index

1–5