Papers

1

Total Citations

4

H-Index

1

About

Sung Chun Cho is a biomedical researcher whose work centers on advancing cell-based assays and microarray technologies, with a particular focus on improving the reproducibility and reliability of rare cell analyses. His key research areas include cell seeding methodologies, microfabricated culture systems, and quantitative single-cell analysis. Cho’s most notable contribution is his pioneering work on cell seeding technology for microarray-based quantitative human primary skeletal muscle cell analysis, a technique that addresses the critical challenge of obtaining consistent results when working with extremely rare cell populations. His 2019 paper on this subject, which has garnered 4 citations, demonstrates how optimized pipetting techniques can enable robust, reproducible studies of human primary skeletal muscle cells (skMCs) on biochips and microfabricated platforms. This work is particularly impactful for researchers in regenerative medicine, muscle biology, and tissue engineering, where rare primary cells are often the only physiologically relevant model. Cho’s methodological innovations help bridge the gap between manual handling and automated precision, making him a valuable contributor to the field of cellular bioengineering and quantitative biology.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Cell Seeding Technology for Microarray-Based Quantitative Human Primary Skeletal Muscle Cell Analysis
4 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Daegu Gyeongbuk Institute of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago