Kim Ekroos
- Biochemistry top 0.2%
- Lipid metabolism and biosynthesis 12
- Spectroscopy top 0.2%
- Mass Spectrometry Techniques and Applications 24
- Advanced Proteomics Techniques and Applications 23
- Analytical Chemistry and Chromatography 7
- Molecular Biology top 1%
- Metabolomics and Mass Spectrometry Studies 46
- Lipid Membrane Structure and Behavior 23
- Sphingolipid Metabolism and Signaling 17
- Cancer Research top 2%
- Cell Biology top 2%
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- Adipose Tissue and Metabolism 7
- Co-authors
- Andrej ShevchenkoKai SimonsChrister S. EjsingDimple KauhanenEva DuchoslavGerhard LiebischTuulia SylvänneTore Skotland
In The Last Decade
Kim Ekroos
87 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Biochemistry 1.0k
- Spectroscopy 1.9k
- Molecular Biology 5.9k
- Cancer Research 959
- Cell Biology 718
Countries citing papers authored by Kim Ekroos
This map shows the geographic impact of Kim Ekroos'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 Kim Ekroos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Ekroos more than expected).
Fields of papers citing papers by Kim Ekroos
This network shows the impact of papers produced by Kim Ekroos. 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 Kim Ekroos. The network helps show where Kim Ekroos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kim Ekroos, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 20 | |
| 5 | 2022 | 39 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 24 | |
| 8 | 2020 | 33 | |
| 9 | 2019 | 144 | |
| 10 | 2018 | 32 | |
| 11 | 2017 | 41 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 16 | |
| 14 | 2016 | 13 | |
| 15 | 2015 | 135 | |
| 16 | 2014 | 25 | |
| 17 | 2014 | 100 | |
| 18 | Global analysis of the yeast lipidome by quantitative shotgun mass spectrometrybreakdown → | 2009 | 790 |
| 19 | 2009 | 157 | |
| 20 | 2007 | 168 |
About Kim Ekroos
Kim Ekroos is a scholar working on Spectroscopy, Biochemistry and Molecular Biology, having authored 91 papers that have together received 7.6k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (46 papers), Mass Spectrometry Techniques and Applications (24 papers), Advanced Proteomics Techniques and Applications (23 papers), Lipid Membrane Structure and Behavior (23 papers), Sphingolipid Metabolism and Signaling (17 papers), Lipid metabolism and biosynthesis (12 papers), Analytical Chemistry and Chromatography (7 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Biochemistry (1.0k citations), Spectroscopy (1.9k citations) and Molecular Biology (5.9k citations). Kim Ekroos has collaborated with scholars based in Germany, Finland and Norway. Frequent co-authors include Andrej Shevchenko, Kai Simons, Christer S. Ejsing, Dimple Kauhanen, Eva Duchoslav, Gerhard Liebisch, Tuulia Sylvänne, Tore Skotland, Kirsten Sandvig and Júlio L. Sampaio. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.