Andrej Shevchenko
- Molecular Biology top 0.02%
- Metabolomics and Mass Spectrometry Studies 47
- Lipid Membrane Structure and Behavior 25
- Genomics and Chromatin Dynamics 16
- Aging top 0.2%
- Cell Biology top 0.05%
- Microtubule and mitosis dynamics 17
- Spectroscopy top 0.02%
- Advanced Proteomics Techniques and Applications 61
- Mass Spectrometry Techniques and Applications 56
- Biochemistry top 0.05%
- Lipid metabolism and biosynthesis 24
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- Neurobiology and Insect Physiology Research 17
- Co-authors
- Matthias MannMatthias WilmOle VormKai SimonsJesper V. OlsenAnna ShevchenkoDominik SchwudkeJúlio L. Sampaio
- Cited by
- Molecular BiologyAgingCell Biology
- Journals
- Analytical Chemistry (17 papers)PLoS ONE (11 papers)Journal of Proteome Research (9 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Andrej Shevchenko
226 papers receiving 41.7k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Molecular Biology 29.8k
- Aging 730
- Cell Biology 6.4k
- Spectroscopy 6.3k
- Biochemistry 2.3k
Countries citing papers authored by Andrej Shevchenko
This map shows the geographic impact of Andrej Shevchenko'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 Andrej Shevchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrej Shevchenko more than expected).
Fields of papers citing papers by Andrej Shevchenko
This network shows the impact of papers produced by Andrej Shevchenko. 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 Andrej Shevchenko. The network helps show where Andrej Shevchenko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrej Shevchenko, 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 | 2026 | 0 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 4 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 50 | |
| 10 | 2017 | 4 | |
| 11 | 2017 | 104 | |
| 12 | 2014 | 2 | |
| 13 | 2012 | 218 | |
| 14 | 2009 | 88 | |
| 15 | Global analysis of the yeast lipidome by quantitative shotgun mass spectrometrybreakdown → | 2009 | 790 |
| 16 | 2009 | 316 | |
| 17 | 2008 | 55 | |
| 18 | 2008 | 100 | |
| 19 | 2002 | 202 | |
| 20 | 2001 | 34 |
About Andrej Shevchenko
Andrej Shevchenko is a scholar working on Spectroscopy, Aging and Biochemistry, having authored 229 papers that have together received 42.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (61 papers), Mass Spectrometry Techniques and Applications (56 papers), Metabolomics and Mass Spectrometry Studies (47 papers), Lipid Membrane Structure and Behavior (25 papers), Lipid metabolism and biosynthesis (24 papers), Microtubule and mitosis dynamics (17 papers), Neurobiology and Insect Physiology Research (17 papers) and Genomics and Chromatin Dynamics (16 papers). The work is most often cited by research in Molecular Biology (29.8k citations), Aging (730 citations) and Cell Biology (6.4k citations). Andrej Shevchenko has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Matthias Mann, Matthias Wilm, Ole Vorm, Kai Simons, Jesper V. Olsen, Anna Shevchenko, Dominik Schwudke, Júlio L. Sampaio, Christer S. Ejsing and Teymuras V. Kurzchalia. Their work appears in journals such as Analytical Chemistry, PLoS ONE, Journal of Proteome Research, The Journal of Cell Biology and Journal of Biological Chemistry.
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.