Mi Sun Jin

Bristol-Myers Squibb (United States)

Papers

1

Total Citations

11

H-Index

1

About

Mi Sun Jin is a chemical engineer whose research focuses on adsorption processes, mass transfer modeling, and high-throughput experimental methodologies for bioseparations. Her work has significantly advanced the understanding of pore diffusion in chromatographic systems, particularly through the development of a modified pore diffusion model that accurately describes multi-addition batch uptake experiments. This contribution, detailed in her most-cited paper "Adaptation of the pore diffusion model to describe multi-addition batch uptake high-throughput screening experiments" (2014, 11 citations), provides a robust framework for predicting protein adsorption behavior in industrial-scale purification processes. By integrating experimental high-throughput screening with theoretical modeling, Jin has enabled more efficient design and optimization of downstream processing steps, reducing time and material costs in biopharmaceutical manufacturing. Her research bridges the gap between laboratory-scale data and industrial application, offering practical tools for engineers working on protein separation and purification. Jin's work is particularly valuable for students and researchers in biochemical engineering, as it demonstrates how fundamental transport phenomena can be leveraged to solve real-world challenges in biotechnology.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Adaptation of the pore diffusion model to describe multi-addition batch uptake high-throughput screening experiments
11 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Bristol-Myers Squibb (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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