Eva Forsten

RWTH Aachen University

Papers

1

Total Citations

92

H-Index

1

About

Eva Forsten is a leading figure in bioprocess engineering, with her research centered on optimizing recombinant protein production in *Escherichia coli*. Her major contribution lies in pioneering high-throughput, automated methods to systematically untangle the complex interplay of parameters governing expression efficiency. Her most-cited work, "Optimizing recombinant protein expression via automated induction profiling in microtiter plates at different temperatures" (92 citations), exemplifies this approach by demonstrating how automated microtiter plate systems can rapidly screen induction conditions and temperature profiles to dramatically boost yields. This work has provided a powerful, scalable framework for both academic labs and industrial bioprocess development, moving beyond traditional trial-and-error methods. Forsten’s impact is evident in the adoption of her automated profiling strategies for strain and process optimization, accelerating the path from gene to product. Her achievements highlight a commitment to marrying robotics with deep biological understanding, making her a key innovator in making recombinant protein production more efficient, predictable, and accessible for a wide range of applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
92
Total Citations
92
Avg Citations/Paper
🏆 Most Cited Paper
Optimizing recombinant protein expression via automated induction profiling in microtiter plates at different temperatures
92 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: RWTH Aachen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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