Aleksandr Gaun

Papers

1

Total Citations

48

H-Index

1

About

Aleksandr Gaun is a pioneering researcher in high-throughput proteomics, with a focus on developing automated platforms for large-scale plasma protein profiling. His major contribution is the creation of AutoMP3, a fully automated multiplexed proteome profiling system that integrates real-time search and ion mobility mass spectrometry. This innovation dramatically reduces preparation and instrument time, enabling the analysis of hundreds to thousands of samples—a critical advancement for studying complex biological systems. Gaun’s work has been particularly impactful in comparative biology, as demonstrated by his most-cited study (48 citations), which applied AutoMP3 to profile plasma proteomes in naked mole-rats and mice, shedding light on aging and resilience mechanisms. By overcoming traditional bottlenecks in proteomics, his research accelerates discoveries in biomarker identification and translational medicine. Gaun’s achievements highlight his role in bridging automation and mass spectrometry, offering scalable solutions for large-scale biomedical studies.

Research Focus

Key Achievements

1
H-Index
1
Papers
48
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
Automated 16-Plex Plasma Proteomics with Real-Time Search and Ion Mobility Mass Spectrometry Enables Large-Scale Profiling in Naked Mole-Rats and Mice
48 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 10

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago