Papers

2

Total Citations

56

H-Index

2

About

Matthew Waas is a researcher at the intersection of proteomics and precision agriculture, whose work spans from molecular sample preparation to autonomous field robotics. In proteomics, Waas made a significant contribution with the development of SP2, a rapid and automatable method for removing contaminants from peptide samples using carboxylate-modified paramagnetic particles. This innovation, detailed in his 2019 paper with 54 citations, addresses a critical bottleneck in bottom-up proteomic workflows by offering a faster, more efficient alternative to traditional reversed-phase cleanup techniques. More recently, Waas has ventured into agricultural technology, co-authoring a 2024 study on accurate crop spraying using RTK (Real-Time Kinematic) positioning and machine learning on an autonomous field robot. While this work has garnered 2 citations to date, it demonstrates his versatility and forward-looking approach to solving real-world problems. Waas’s ability to bridge fundamental analytical chemistry with applied engineering highlights his unique interdisciplinary impact, making him a researcher to watch as he continues to innovate across fields.

Research Focus

Key Achievements

2
H-Index
2
Papers
56
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
SP2: Rapid and Automatable Contaminant Removal from Peptide Samples for Proteomic Analyses
54 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Medical College of Wisconsin, Center for Global Development

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago