Kai S. Erdmann
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
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- Axon Guidance and Neuronal Signaling
Papers in
- Cell Biology 19
- Cellular transport and secretion 8
- Hippo pathway signaling and YAP/TAZ 7
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- Rare-earth and actinide compounds 8
- Co-authors
- Pietro De CamilliAurélien RouxToshiki ItohHauke WernerBianca HabermannRolf HeumannVolker EulenburgM. Rosenberg
- Journals
- Journal of Applied Physics (3 papers)International Journal of Molecular Sciences (3 papers)Journal of Magnetism and Magnetic Materials (3 papers)Scientific Reports (2 papers)Journal of Cell Science (2 papers)
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Kai S. Erdmann
47 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 112
- Cell Biology 937
- Cellular and Molecular Neuroscience 426
- Developmental Neuroscience 95
- Molecular Biology 1.4k
- Immunology and Allergy 74
Countries citing papers authored by Kai S. Erdmann
This map shows the geographic impact of Kai S. Erdmann'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 S. Erdmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai S. Erdmann more than expected).
Fields of papers citing papers by Kai S. Erdmann
This network shows the impact of papers produced by Kai S. Erdmann. 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 S. Erdmann. The network helps show where Kai S. Erdmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai S. Erdmann, 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 | 1 | |
| 2 | 2021 | 17 | |
| 3 | 2020 | 11 | |
| 4 | 2020 | 120 | |
| 5 | 2019 | 32 | |
| 6 | 2018 | 5 | |
| 7 | 2016 | 13 | |
| 8 | 2015 | 10 | |
| 9 | 2012 | 30 | |
| 10 | 2012 | 21 | |
| 11 | 2012 | 50 | |
| 12 | 2010 | 2 | |
| 13 | 2007 | 3 | |
| 14 | 2007 | 224 | |
| 15 | 2003 | 45 | |
| 16 | 2003 | 60 | |
| 17 | 2003 | 28 | |
| 18 | 2002 | 248 | |
| 19 | 2000 | 67 | |
| 20 | 1994 | 4 |
About Kai S. Erdmann
Kai S. Erdmann is a scholar working on Cell Biology, Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Aging and Cellular and Molecular Neuroscience, having authored 47 papers that have together received 2.3k indexed citations. Recurring topics across this work include Magnetic Properties of Alloys (9 papers), Protein Tyrosine Phosphatases (9 papers), Rare-earth and actinide compounds (8 papers), Cellular transport and secretion (8 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Axon Guidance and Neuronal Signaling (4 papers) and Genetic and Kidney Cyst Diseases (4 papers). The work is most often cited by research in Cell Biology (937 citations), Cellular and Molecular Neuroscience (426 citations), Developmental Neuroscience (95 citations), Molecular Biology (1.4k citations) and Immunology and Allergy (74 citations). Kai S. Erdmann has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Pietro De Camilli, Aurélien Roux, Toshiki Itoh, Hauke Werner, Bianca Habermann, Rolf Heumann, Volker Eulenburg, M. Rosenberg, Roberto Zoncu and Yuxin Mao. Their work appears in journals such as Journal of Applied Physics, International Journal of Molecular Sciences, Journal of Magnetism and Magnetic Materials, Scientific Reports 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.