Master Equation Approaches

Master Equation Approaches is a mathematical modeling framework in stochastic gene expression analysis that describes the time evolution of the probability distribution of molecular population states by accounting for discrete biochemical reaction events in a well-stirred system.

3.2K

Publications

186.7K

Citations

5.5K

Authors

1.6K

Institutions

Publications per year

2017–2026

558

Authors

5.5K

  1. SJ
    Stephen J. Klippenstein

    Argonne National Laboratory, United States

    42 publications · 5.1K citations

    35

    h-index

  2. JA
    James A. Miller

    Sandia National Laboratories California, United States

    24 publications · 3.8K citations

    24

    h-index

  3. MJ
    Michael J. Pilling

    University of Leeds, United Kingdom

    26 publications · 1.8K citations

    21

    h-index

  4. JR
    John R. Barker

    University of Michigan, United States

    22 publications · 1.3K citations

    20

    h-index

  5. SH
    Struan H. Robertson

    University of Leeds, United Kingdom

    23 publications · 1.5K citations

    18

    h-index

1–5 of 5.5K

Venues

  1. The Journal of Chemical Physics

    397 publications · 25.5K citations

    70

    h-index

  2. Physical Review A

    PRA · 260 publications · 15K citations

    63

    h-index

  3. Physical Review Letters

    PRL · 135 publications · 18K citations

    62

    h-index

  4. The Journal of Physical Chemistry A

    157 publications · 11.8K citations

    56

    h-index

  5. Physical Review B

    PRB · 116 publications · 6.5K citations

    43

    h-index

1–5