Kai Breuhahn
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Hepatology top 2%
Papers in
-
- Ubiquitin and proteasome pathways 14
- RNA modifications and cancer 10
- Wnt/β-catenin signaling in development and cancer 7
- Cell Biology 35
- Hippo pathway signaling and YAP/TAZ 23
- Cellular Mechanics and Interactions 8
- Co-authors
- Peter Schirmacher (80 shared papers)Thomas Longerich (20 shared papers)Stephan Singer (23 shared papers)Federico Pinna (11 shared papers)Michael Kern (7 shared papers)Amrit Mann (4 shared papers)Manfred Blessing (4 shared papers)Michaela Bissinger (16 shared papers)
- Journals
- Hepatology (16 papers)Cancer Research (8 papers)PLoS ONE (5 papers)Oncogene (5 papers)Journal of Hepatology (4 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Kai Breuhahn
125 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 1.2k
- Hepatology 457
- Molecular Biology 2.6k
- Cell Biology 627
- Oncology 865
Countries citing papers authored by Kai Breuhahn
This map shows the geographic impact of Kai Breuhahn'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 Breuhahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Breuhahn more than expected).
Fields of papers citing papers by Kai Breuhahn
This network shows the impact of papers produced by Kai Breuhahn. 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 Breuhahn. The network helps show where Kai Breuhahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Breuhahn, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 318 | |
| 2 | 2015 | 233 | |
| 3 | 2013 | 205 | |
| 4 | 2014 | 154 | |
| 5 | 2002 | 148 | |
| 6 | 2001 | 143 | |
| 7 | 2006 | 139 | |
| 8 | 2008 | 137 | |
| 9 | 2013 | 132 | |
| 10 | 2009 | 129 | |
| 11 | 2012 | 127 | |
| 12 | 2007 | 123 | |
| 13 | 2005 | 120 | |
| 14 | 2010 | 116 | |
| 15 | 2013 | 105 | |
| 16 | 2004 | 103 | |
| 17 | 2007 | 99 | |
| 18 | 2009 | 92 | |
| 19 | 2003 | 90 | |
| 20 | 2008 | 90 |
About Kai Breuhahn
Kai Breuhahn is a scholar working on Molecular Biology, Cell Biology, Oncology, Cancer Research and Hepatology, having authored 128 papers that have together received 5.2k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (23 papers), Ubiquitin and proteasome pathways (14 papers), Cancer-related Molecular Pathways (11 papers), RNA modifications and cancer (10 papers), Liver physiology and pathology (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Cellular Mechanics and Interactions (8 papers) and Wnt/β-catenin signaling in development and cancer (7 papers). The work is most often cited by research in Cancer Research (1.2k citations), Hepatology (457 citations), Molecular Biology (2.6k citations), Cell Biology (627 citations) and Oncology (865 citations). Kai Breuhahn has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Peter Schirmacher, Thomas Longerich, Stephan Singer, Federico Pinna, Michael Kern, Amrit Mann, Manfred Blessing, Michaela Bissinger, Peter Angel and Volker Ehemann. Their work appears in journals such as Hepatology, Cancer Research, PLoS ONE, Oncogene and Journal of Hepatology.
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.