Papers

1

Total Citations

9

H-Index

1

About

Keyi Li is a rising researcher in the field of high-throughput biotechnology, with a focus on accelerating mass spectrometric screening for microbial engineering. Their most-cited work, "Towards one sample per second for mass spectrometric screening of engineered microbial strains" (2022), introduces a groundbreaking approach that dramatically increases the speed of metabolite analysis. By achieving near-real-time sample processing, Li’s research enables rapid identification of high-performing engineered strains, a critical step in industrial biotechnology and synthetic biology. This innovation has already garnered 9 citations, reflecting its early impact on streamlining workflows for metabolic engineering and bioprocess optimization. Li’s contributions are particularly valuable for students and researchers seeking to bridge the gap between analytical chemistry and microbial strain development, offering a practical tool to accelerate the design-build-test-learn cycle. As the field moves toward more efficient, data-driven biomanufacturing, Li’s work stands out for its potential to reduce screening times from days to minutes, paving the way for scalable production of biofuels, pharmaceuticals, and biochemicals.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Towards one sample per second for mass spectrometric screening of engineered microbial strains
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shenzhen Institutes of Advanced Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago