Kai Schuhmann
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies
- Lipid Membrane Structure and Behavior
- Sphingolipid Metabolism and Signaling
Papers in
-
- Lipid metabolism and biosynthesis 6
-
- Mass Spectrometry Techniques and Applications 5
- Co-authors
- Andrej Shevchenko (20 shared papers)Stefan Richard Bornstein (7 shared papers)Ronny Herzog (5 shared papers)Dominik Schwudke (4 shared papers)Julio Lopes Sampaio (2 shared papers)Michael D. Schroeder (2 shared papers)Mark Baumert (1 shared paper)Reinaldo Almeida (1 shared paper)
- Journals
- Analytical Chemistry (4 papers)PLoS ONE (3 papers)Journal of Lipid Research (2 papers)Nature (1 paper)Genome biology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Kai Schuhmann
22 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 83
- Biochemistry 279
- Molecular Biology 1.1k
- Spectroscopy 241
- Aging 19
- Cell Biology 87
Countries citing papers authored by Kai Schuhmann
This map shows the geographic impact of Kai Schuhmann'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 Kai Schuhmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Schuhmann more than expected).
Fields of papers citing papers by Kai Schuhmann
This network shows the impact of papers produced by Kai Schuhmann. 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 Kai Schuhmann. The network helps show where Kai Schuhmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Schuhmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 337 | |
| 2 | 2011 | 332 | |
| 3 | 2012 | 329 | |
| 4 | 2012 | 180 | |
| 5 | 2011 | 104 | |
| 6 | 2016 | 93 | |
| 7 | 2021 | 66 | |
| 8 | 2019 | 49 | |
| 9 | 2010 | 48 | |
| 10 | 2017 | 47 | |
| 11 | 2017 | 39 | |
| 12 | 2016 | 25 | |
| 13 | 2017 | 22 | |
| 14 | 2019 | 22 | |
| 15 | 2025 | 21 | |
| 16 | 2011 | 18 | |
| 17 | 2020 | 17 | |
| 18 | 2020 | 11 | |
| 19 | 2022 | 7 | |
| 20 | 2015 | 2 |
About Kai Schuhmann
Kai Schuhmann is a scholar working on Biochemistry, Spectroscopy, Molecular Biology, Cell Biology and Aging, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (10 papers), Lipid metabolism and biosynthesis (6 papers), Mass Spectrometry Techniques and Applications (5 papers), Cellular transport and secretion (3 papers), Retinal Development and Disorders (3 papers), Lipid Membrane Structure and Behavior (1 paper), Photoreceptor and optogenetics research (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Biochemistry (279 citations), Molecular Biology (1.1k citations), Spectroscopy (241 citations), Aging (19 citations) and Cell Biology (87 citations). Kai Schuhmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Andrej Shevchenko, Stefan Richard Bornstein, Ronny Herzog, Dominik Schwudke, Julio Lopes Sampaio, Michael D. Schroeder, Mark Baumert, Reinaldo Almeida, Henrik Thomas and Konstantin O. Nagornov. Their work appears in journals such as Analytical Chemistry, PLoS ONE, Journal of Lipid Research, Nature and Genome biology.
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.