Scale-up Modeling

Scale-Up Modeling is a systematic computational or mathematical framework used in bioprocess development and drug formulation design that enables the prediction and optimization of process performance across increasing production scales by translating laboratory-scale data into industrially relevant conditions while accounting for critical scale-dependent parameters and constraints.

82

Publications

3.6K

Citations

300

Authors

115

Institutions

Publications per year

2017–2026

29

Authors

300

  1. MS
    Matthew Salganik

    Princeton University, United States

    3 publications · 399 citations

    3

    h-index

  2. CL
    Cláudio Luiz Schneider

    Centro de Tecnologia Mineral, Brazil

    2 publications · 55 citations

    2

    h-index

  3. JW
    Joachim Werther

    Hamburg University of Technology, Germany

    2 publications · 91 citations

    2

    h-index

  4. SS
    Suzanne S. Farid

    University College London, United Kingdom

    2 publications · 61 citations

    2

    h-index

  5. HN
    Henk Noorman

    DSM (Netherlands), Netherlands

    2 publications · 197 citations

    2

    h-index

1–5 of 300

Venues

  1. Organic Process Research & Development

    7 publications · 224 citations

    7

    h-index

  2. Minerals Engineering

    5 publications · 217 citations

    5

    h-index

  3. Chemical Engineering Science

    4 publications · 216 citations

    4

    h-index

  4. Chemie Ingenieur Technik

    3 publications · 52 citations

    3

    h-index

  5. Industrial & Engineering Chemistry Research

    3 publications · 63 citations

    3

    h-index

1–5