Jinxiong Cheng

University of Pittsburgh

Papers

2

Total Citations

11

H-Index

2

About

Jinxiong Cheng is at the forefront of integrating robotics and artificial intelligence with microfluidics to revolutionize single-cell analysis. Their work addresses a critical bottleneck in biomedicine: the need to map cellular heterogeneity with precision to uncover rare subpopulations driving disease and drug resistance. Cheng’s highly cited 2025 paper, "Transforming microfluidics for single-cell analysis with robotics and artificial intelligence," has already garnered 8 citations, showcasing its immediate impact. This research pioneers automated, high-throughput platforms that merge AI-driven data interpretation with robotic fluid handling, enabling researchers to isolate and characterize individual cells at unprecedented scale and accuracy. Complementing this, Cheng’s 2024 work on linking phenotypes to genotypes (3 citations) advances the field by bridging functional cellular behaviors with their genetic underpinnings, moving beyond population-averaged methods. Together, these contributions establish Cheng as a key innovator in single-cell technologies, offering tools that promise to accelerate discoveries in cancer biology, immunology, and personalized medicine. Their visionary approach—combining engineering, computation, and biology—positions them as a rising leader in the quest to decode the complexities of life at the single-cell level.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Transforming microfluidics for single-cell analysis with robotics and artificial intelligence
8 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Pittsburgh

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago