Papers

1

Total Citations

6

H-Index

1

About

Dongwen Lv is a rising leader in chemical proteomics, a field that merges synthetic chemistry and mass spectrometry to map how small molecules interact with proteins. His work focuses on developing high-throughput automation platforms to accelerate the discovery of protein targets and binding mechanisms. His most-cited paper, "Automation to Enable High-Throughput Chemical Proteomics" (2023), introduces a streamlined workflow that uses chemical probes to covalently tag active or binding sites on functional proteins. This innovation allows researchers to profile protein targets with unprecedented speed, revealing precise binding sites and mechanisms—critical for drug discovery and understanding cellular signaling. With 6 citations in just its first year, this work signals growing impact in a competitive field. Lv’s contributions are particularly notable for bridging the gap between chemical probe design and scalable proteomic analysis, enabling studies that were previously labor-intensive. His achievements position him as a key figure in advancing chemical proteomics toward routine, high-throughput applications, offering powerful tools for both basic biology and therapeutic development.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Automation to Enable High-Throughput Chemical Proteomics
6 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: The University of Texas at San Antonio Health Science Center

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago