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
82
1–5 of 82
300
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h-index
2
h-index
2
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2
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2
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1–5 of 300
115
University College London
London, United Kingdom
4 h-index
8 publications
335 citations
Hamburg University of Technology
Hamburg, Germany
4 h-index
7 publications
300 citations

Monash University
Melbourne, Australia
3 h-index
6 publications
160 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
8 publications
611 citations
University of Washington
Seattle, United States
2 h-index
2 publications
40 citations
Bayer (Germany)
Leverkusen, Germany
2 h-index
3 publications
51 citations
DSM (Netherlands)
Heerlen, Netherlands
2 h-index
3 publications
308 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
2 h-index
4 publications
110 citations
1–8 of 115
7 publications · 224 citations
7
h-index
5 publications · 217 citations
5
h-index
4 publications · 216 citations
4
h-index
3 publications · 52 citations
3
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3 publications · 63 citations
3
h-index
1–5