Shao-Wen Shi

Zhejiang Lab

Papers

3

Total Citations

125

H-Index

3

About

Shao-Wen Shi is at the forefront of ultra-high-throughput bioanalytical chemistry, pioneering technologies that push the limits of single-cell proteomics and automated chemical synthesis. His major contributions center on two transformative platforms: the pick-up single-cell proteomic analysis (PiSPA) workflow, which dramatically boosts protein identification to up to 3,000 proteins per mammalian cell—tripling the typical yield of ~1,000—and a roboticized, AI-assisted microfluidic system capable of screening up to 10,000 photocatalytic reactions per day. These innovations address critical bottlenecks in both biological discovery and synthetic chemistry, enabling unprecedented depth in single-cell protein quantification and accelerating reaction optimization by orders of magnitude. The PiSPA work has already garnered over 75 citations across its publications, reflecting its immediate impact on the single-cell community. Shi’s achievements exemplify how integrating microfluidics, robotics, and artificial intelligence can revolutionize experimental throughput and sensitivity, offering powerful tools for researchers in proteomics, drug discovery, and materials science.

Research Focus

Key Achievements

3
H-Index
3
Papers
125
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
Pick-up single-cell proteomic analysis for quantifying up to 3000 proteins in a Mammalian cell
66 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: Zhejiang Lab

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago