Kai Simons
Impact in
- Cell Biology top 0.01%
- Cellular transport and secretion
- Caveolin-1 and cellular processes
- Molecular Biology top 0.01%
- Lipid Membrane Structure and Behavior
- Sphingolipid Metabolism and Signaling
- Glycosylation and Glycoproteins Research
- Metabolomics and Mass Spectrometry Studies
- Extracellular vesicles in disease
Papers in
- Cell Biology 124
- Cellular transport and secretion 106
- Caveolin-1 and cellular processes 16
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- Lipid Membrane Structure and Behavior 72
- Metabolomics and Mass Spectrometry Studies 12
- Glycosylation and Glycoproteins Research 5
- Co-authors
- Elina Ikonen (13 shared papers)Derek K. Toomre (5 shared papers)Ari Helenius (27 shared papers)Daniel Lingwood (12 shared papers)Robert G. Parton (31 shared papers)Gerrit van MEER (11 shared papers)Andrej Shevchenko (20 shared papers)Robert Ehehalt (6 shared papers)
- Journals
- The Journal of Cell Biology (50 papers)Proceedings of the National Academy of Sciences (35 papers)The EMBO Journal (17 papers)Journal of Biological Chemistry (16 papers)Journal of Cell Science (15 papers)
- Partner nations
- GermanyUnited StatesFinland
In The Last Decade
Kai Simons
428 papers receiving 85.5k citations
Kai Simons's Hit Papers
Peers
Comparison fields: 5 of 156
- Cell Biology 16.9k
- Molecular Biology 27.6k
- Biochemistry 790
- Physiology 3.8k
- Immunology and Allergy 674
Countries citing papers authored by Kai Simons
This map shows the geographic impact of Kai Simons'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 Simons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Simons more than expected).
Fields of papers citing papers by Kai Simons
This network shows the impact of papers produced by Kai Simons. 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 Simons. The network helps show where Kai Simons may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Simons, 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 434 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Functional rafts in cell membranes Hit paper breakdown → | 1997 | 8464 |
| 2 | Lipid rafts and signal transduction Hit paper breakdown → | 2000 | 5396 |
| 3 | Lipid Rafts As a Membrane-Organizing Principle Hit paper breakdown → | 2009 | 3720 |
| 4 | Solubilization of membranes by detergents Hit paper breakdown → | 1975 | 2689 |
| 5 | Model Systems, Lipid Rafts, and Cell Membranes Hit paper breakdown → | 2004 | 1432 |
| 6 | The multiple faces of caveolae Hit paper breakdown → | 2007 | 1217 |
| 7 | The small GTPase rab5 functions as a regulatory factor in the early endocytic pathway Hit paper breakdown → | 1992 | 1213 |
| 8 | Lipid sorting in epithelial cells Hit paper breakdown → | 1988 | 1172 |
| 9 | Alzheimer's disease β-amyloid peptides are released in association with exosomes Hit paper breakdown → | 2006 | 1154 |
| 10 | How Cells Handle Cholesterol Hit paper breakdown → | 2000 | 1105 |
| 11 | Lipid Domain Structure of the Plasma Membrane Revealed by Patching of Membrane Components Hit paper breakdown → | 1998 | 1069 |
| 12 | The trans Golgi Network: Sorting at the Exit Site of the Golgi Complex Hit paper breakdown → | 1986 | 1068 |
| 13 | Revitalizing membrane rafts: new tools and insights Hit paper breakdown → | 2010 | 1045 |
| 14 | Localization of low molecular weight GTP binding proteins to exocytic and endocytic compartments Hit paper breakdown → | 1990 | 1033 |
| 15 | Cholesterol depletion inhibits the generation of β-amyloid in hippocampal neurons Hit paper breakdown → | 1998 | 1031 |
| 16 | Amyloidogenic processing of the Alzheimer β-amyloid precursor protein depends on lipid rafts Hit paper breakdown → | 2003 | 947 |
| 17 | Modulation of Myelopoiesis Progenitors Is an Integral Component of Trained Immunity Hit paper breakdown → | 2018 | 883 |
| 18 | Global analysis of the yeast lipidome by quantitative shotgun mass spectrometry Hit paper breakdown → | 2009 | 872 |
| 19 | 2002 | 871 | |
| 20 | 2000 | 859 |
About Kai Simons
Kai Simons is a scholar working on Cell Biology, Molecular Biology, Physiology, Rheumatology and Immunology, having authored 434 papers that have together received 89.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (106 papers), Lipid Membrane Structure and Behavior (72 papers), Caveolin-1 and cellular processes (16 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Alzheimer's disease research and treatments (10 papers), Folate and B Vitamins Research (8 papers), Lipoproteins and Cardiovascular Health (5 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Cell Biology (16.9k citations), Molecular Biology (27.6k citations), Biochemistry (790 citations), Physiology (3.8k citations) and Immunology and Allergy (674 citations). Kai Simons has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Elina Ikonen, Derek K. Toomre, Ari Helenius, Daniel Lingwood, Robert G. Parton, Gerrit van MEER, Andrej Shevchenko, Robert Ehehalt, Gareth Wyn Griffiths and Thomas Harder. Their work appears in journals such as The Journal of Cell Biology, Proceedings of the National Academy of Sciences, The EMBO Journal, Journal of Biological Chemistry and Journal of Cell Science.
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.