About

Matthias Mann stands as a transformative figure in the field of mass spectrometry-based proteomics, whose decades of innovation have fundamentally shaped how scientists identify, quantify, and characterize proteins at scale. His early pioneering work in laboratory automation — including the development of robotic systems for parallel protein sample preparation and enzymatic cleavage of gel-separated proteins in the mid-1990s — laid essential groundwork for high-throughput proteomics workflows that the field still builds upon today. Mann's contributions span intelligent data acquisition frameworks for shotgun proteomics, orthogonal MALDI tandem mass spectrometry for peptide sequencing, and immunoproteomics strategies combining antibody-based enrichment with stable isotope labeling for absolute protein quantification. His more recent work pushes boundaries further still, with spatial proteomics enabling protein mapping within three-dimensional intact tissue specimens (114 citations) and IMBAS-MS uncovering organ-specific HLA peptide signatures directly from plasma. From early explorations of the Drosophila proteome to cutting-edge clinical immunopeptidomics powered by deep learning tools like AlphaPeptDeep, Mann's career represents an extraordinary arc of methodological creativity, consistently delivering tools that empower the broader biomedical research community to ask — and answer — previously intractable biological questions.

Research Focus

Key Achievements

8
H-Index
11
Papers
427
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Spatial proteomics in three-dimensional intact specimens
114 citations · 2022
📈 Most Prolific Year: 1997 (3 Papers)
🤝 Key Collaborators: 61
🏛 Institutions: University of Copenhagen, Max Planck Society, European Molecular Biology Laboratory, European Bioinformatics Institute, Muscular Dystrophy Canada, Max Planck Institute of Biochemistry

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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