Stephan Huveneers
Impact in
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
- Cell Biology top 0.5%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
Papers in
-
- Cell Adhesion Molecules Research 27
- Cell Biology 34
- Cellular Mechanics and Interactions 27
- Hippo pathway signaling and YAP/TAZ 15
- Co-authors
- Erik H.J. DanenJohan de RooijJaap D. van BuulPeter L. HordijkHolger RehmannArnoud SonnenbergMat J.A.P. DaemenHoa Truong
- Journals
- Journal of Cell Science (9 papers)Cell Reports (4 papers)Scientific Reports (3 papers)Nature Communications (3 papers)Circulation Research (2 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Stephan Huveneers
67 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Immunology and Allergy 981
- Cell Biology 1.7k
- Immunology 646
- Molecular Biology 2.0k
- Neurology 209
Countries citing papers authored by Stephan Huveneers
This map shows the geographic impact of Stephan Huveneers'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 Stephan Huveneers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Huveneers more than expected).
Fields of papers citing papers by Stephan Huveneers
This network shows the impact of papers produced by Stephan Huveneers. 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 Stephan Huveneers. The network helps show where Stephan Huveneers may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Huveneers, 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 | 2024 | 9 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 28 | |
| 11 | 2020 | 26 | |
| 12 | 2020 | 31 | |
| 13 | 2019 | 20 | |
| 14 | 2019 | 21 | |
| 15 | 2016 | 132 | |
| 16 | 2016 | 36 | |
| 17 | 2016 | 108 | |
| 18 | 2012 | 373 | |
| 19 | 2007 | 47 | |
| 20 | 2005 | 166 |
About Stephan Huveneers
Stephan Huveneers is a scholar working on Immunology and Allergy, Cell Biology, Structural Biology, Immunology and Hematology, having authored 68 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (27 papers), Cellular Mechanics and Interactions (27 papers), Hippo pathway signaling and YAP/TAZ (15 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Angiogenesis and VEGF in Cancer (7 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Immunology and Allergy (981 citations), Cell Biology (1.7k citations), Immunology (646 citations), Molecular Biology (2.0k citations) and Neurology (209 citations). Stephan Huveneers has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Erik H.J. Danen, Johan de Rooij, Jaap D. van Buul, Peter L. Hordijk, Holger Rehmann, Arnoud Sonnenberg, Mat J.A.P. Daemen, Hoa Truong, Joppe Oldenburg and Emma Spanjaard. Their work appears in journals such as Journal of Cell Science, Cell Reports, Scientific Reports, Nature Communications and Circulation Research.
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.