Kai Breuhahn

7.6k citations
128 papers · 5.2k indexed · h-index 41

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
  • Hepatology top 1%

Papers in

    • Hippo pathway signaling and YAP/TAZ 23
    • Microtubule and mitosis dynamics 8
    • Cancer, Hypoxia, and Metabolism 11

Kai Breuhahn

125 papers receiving 5.1k citations

Peers

Kai Breuhahn
Comparison fields: 5 of 133
  • Cancer Research 1.4k
  • Hepatology 540
  • Molecular Biology 3.1k
  • Cell Biology 685
  • Oncology 1.0k
Replace Alfred S.L. Cheng with:
Alfred S.L. Cheng Hong Kong
Mitsuhiko Osaki Japan
Lijian Hui China
Masakiyo Sakaguchi Japan
Stephen W. Byers United States
Wolfgang Mikulits Austria
Jukka Westermarck Finland
Sufi M. Thomas United States
Xin Hong China
Kazuyoshi Yanagihara Japan
Kai Breuhahn relative to Alfred S.L. Cheng Hong Kong Alfred S.L. Cheng's profile →
Citations per field
00.5×1.5×
Alfred S.L. Cheng · 1×
Citations per year

Countries citing papers authored by Kai Breuhahn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Kai Breuhahn Line = papers co-authored together Kai Breuhahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202421
2 20242
3 20249
4 202037
5 201931
6 201753
7 201613
8 201629
9 201427
10 201223
11 2012125
12 201249
13 200983
14 2007123
15 20072
16 200621
17 2006319
18 200520
19 2005120
20 199718

About Kai Breuhahn

Kai Breuhahn is a scholar working on Cell Biology, Cancer Research, Hepatology, Molecular Biology and Biochemistry, 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 (19 papers), Cancer-related Molecular Pathways (17 papers), RNA modifications and cancer (15 papers), Cancer, Hypoxia, and Metabolism (11 papers), Wnt/β-catenin signaling in development and cancer (10 papers), Liver physiology and pathology (9 papers) and Microtubule and mitosis dynamics (8 papers). The work is most often cited by research in Cancer Research (1.4k citations), Hepatology (540 citations), Molecular Biology (3.1k citations), Cell Biology (685 citations) and Oncology (1.0k 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, Manfred Blessing, Amrit Mann, Michaela Bissinger, Peter Angel and Volker Ehemann. Their work appears in journals such as Hepatology, Cancer Research, Oncogene, PLoS ONE and International Journal of Cancer.

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.

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