Scale-down Models

Scale-Down Models is a systematic experimental framework belonging to the class of bioprocess modeling tools that, through the faithful miniaturization and dynamic simulation of large-scale bioreactor conditions, enables the prediction and analysis of performance variables in scaled-up systems while maintaining physiological relevance at reduced volumes.

96

Publications

4K

Citations

398

Authors

121

Institutions

Publications per year

2017–2026

36

Authors

398

  1. HN
    Henk Noorman

    DSM (Netherlands), Netherlands

    6 publications · 454 citations

    6

    h-index

  2. PN
    Peter Neubauer

    Technische Universität Berlin, Germany

    5 publications · 326 citations

    5

    h-index

  3. FD
    Frank Delvigne

    Gembloux Agro-Bio Tech, Belgium

    5 publications · 210 citations

    5

    h-index

  4. MM
    Massimo Morbidelli

    ETH Zurich, Switzerland

    4 publications · 204 citations

    4

    h-index

  5. MH
    M. Hoare

    University College London, United Kingdom

    4 publications · 237 citations

    4

    h-index

1–5 of 398

Venues

  1. Biotechnology Progress

    12 publications · 608 citations

    12

    h-index

  2. Biotechnology and Bioengineering

    13 publications · 564 citations

    12

    h-index

  3. Biotechnology Journal

    4 publications · 228 citations

    4

    h-index

  4. Journal of Chromatography A

    4 publications · 142 citations

    4

    h-index

  5. 3

    h-index

1–5