Mario Kompauer
Impact in
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
- Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in ⓘ
-
- Metabolomics and Mass Spectrometry Studies 6
- Lipid Membrane Structure and Behavior 1
- Genomics and Phylogenetic Studies 1
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- Mass Spectrometry Techniques and Applications 5
- Analytical Chemistry and Chromatography 3
- Co-authors
- Bernhard Spengler (7 shared papers)Sven Heiles (7 shared papers)Nicole Dubilier (1 shared paper)Benedikt Geier (1 shared paper)Emilia Sogin (1 shared paper)Dolma Michellod (1 shared paper)Manuel Liebeke (1 shared paper)Kerstin Strupat (1 shared paper)
- Journals
- Nature Methods (2 papers)Journal of the American Society for Mass Spectrometry (2 papers)The Analyst (1 paper)Nature Microbiology (1 paper)Protocol Exchange (2 papers)
- Partner nations
- Germany
In The Last Decade
Mario Kompauer
8 papers receiving 804 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Spectroscopy 520
- Biophysics 60
- Molecular Biology 504
- Computational Mechanics 127
- Analytical Chemistry 43
Countries citing papers authored by Mario Kompauer
This map shows the geographic impact of Mario Kompauer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mario Kompauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Kompauer more than expected).
Fields of papers citing papers by Mario Kompauer
This network shows the impact of papers produced by Mario Kompauer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mario Kompauer. The network helps show where Mario Kompauer may publish in the future.
Co-authors
The 8 scholars most cited alongside Mario Kompauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Atmospheric pressure MALDI mass spectrometry imaging of tissues and cells at 1.4-μm lateral resolution Hit paper breakdown → | 2016 | 467 |
| 2 | 2020 | 150 | |
| 3 | 2017 | 113 | |
| 4 | 2017 | 44 | |
| 5 | 2020 | 21 | |
| 6 | 2020 | 15 | |
| 7 | 2017 | 5 | |
| 8 | 2017 | 4 |
About Mario Kompauer
Mario Kompauer is a scholar working on Molecular Biology, Spectroscopy, Ecology, Computational Mechanics and Computational Theory and Mathematics, having authored 8 papers that have together received 819 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Mass Spectrometry Techniques and Applications (5 papers), Analytical Chemistry and Chromatography (3 papers), Ion-surface interactions and analysis (1 paper), Computational Drug Discovery Methods (1 paper), Lipid Membrane Structure and Behavior (1 paper), Genomics and Phylogenetic Studies (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Spectroscopy (520 citations), Biophysics (60 citations), Molecular Biology (504 citations), Computational Mechanics (127 citations) and Analytical Chemistry (43 citations). Mario Kompauer has collaborated with scholars based in Germany. Frequent co-authors include Bernhard Spengler, Sven Heiles, Nicole Dubilier, Benedikt Geier, Emilia Sogin, Dolma Michellod, Manuel Liebeke and Kerstin Strupat. Their work appears in journals such as Nature Methods, Journal of the American Society for Mass Spectrometry, The Analyst, Nature Microbiology and Protocol Exchange.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.