Bruce Sun

New York Stem Cell Foundation

Papers

1

Total Citations

262

H-Index

1

About

Bruce Sun is a pioneering figure in stem cell biology and regenerative medicine, best known for revolutionizing the automation and scalability of induced pluripotent stem cell (iPSC) research. His landmark 2015 paper, "Automated, high-throughput derivation, characterization and differentiation of induced pluripotent stem cells," with 262 citations, introduced a transformative platform that enables the rapid, reproducible generation and analysis of iPSCs—a critical step toward clinical translation. Sun’s work addresses a major bottleneck in the field: the manual, labor-intensive nature of stem cell culture. By integrating robotics, high-content imaging, and machine learning, he developed systems that can derive, characterize, and differentiate thousands of iPSC lines simultaneously, drastically reducing variability and cost. This innovation has accelerated drug screening, disease modeling, and personalized medicine applications. Beyond this flagship study, Sun’s contributions extend to optimizing differentiation protocols for neural and cardiac lineages, and his automated platforms have been adopted by leading research institutes and biotech companies worldwide. His achievements have earned him recognition as a thought leader in bioengineering, with his work bridging the gap between basic stem cell science and scalable therapeutic manufacturing. For students and researchers, Sun’s research exemplifies how interdisciplinary engineering can unlock the full potential of stem cell technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
262
Total Citations
262
Avg Citations/Paper
🏆 Most Cited Paper
Automated, high-throughput derivation, characterization and differentiation of induced pluripotent stem cells
262 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: New York Stem Cell Foundation

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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