Wouter Bossuyt
Impact in
- Cell Biology top 0.5%
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer
- Ubiquitin and proteasome pathways
- Developmental Biology and Gene Regulation
- RNA Research and Splicing
Papers in
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- Wnt/β-catenin signaling in development and cancer 3
- DNA Repair Mechanisms 1
- Epigenetics and DNA Methylation 1
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- Hippo pathway signaling and YAP/TAZ 5
- Co-authors
- Georg Halder (4 shared papers)Leticia Sansores-García (2 shared papers)Chunyao Tao (2 shared papers)Milton J. Finegold (1 shared paper)Li Lu (1 shared paper)Ju‐Seog Lee (1 shared paper)Randy L. Johnson (1 shared paper)Soo Mi Kim (1 shared paper)
- Journals
- PLoS Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Emerging infectious diseases (1 paper)Cancer Discovery (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesBelgiumNetherlands
In The Last Decade
Wouter Bossuyt
9 papers receiving 1.5k citations
Wouter Bossuyt's Hit Papers
Peers
Comparison fields: 5 of 67
- Cell Biology 1.2k
- Molecular Biology 790
- Biochemistry 55
- Hepatology 48
- Aging 11
Countries citing papers authored by Wouter Bossuyt
This map shows the geographic impact of Wouter Bossuyt'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 Wouter Bossuyt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter Bossuyt more than expected).
Fields of papers citing papers by Wouter Bossuyt
This network shows the impact of papers produced by Wouter Bossuyt. 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 Wouter Bossuyt. The network helps show where Wouter Bossuyt may publish in the future.
Co-authors
The 25 scholars most cited alongside Wouter Bossuyt, 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 | Hippo signaling is a potent in vivo growth and tumor suppressor pathway in the mammalian liver Hit paper breakdown → | 2010 | 594 |
| 2 | 2011 | 351 | |
| 3 | 2010 | 251 | |
| 4 | 2013 | 97 | |
| 5 | 2009 | 89 | |
| 6 | 2009 | 36 | |
| 7 | 2012 | 33 | |
| 8 | 2022 | 19 | |
| 9 | 2004 | 7 | |
| 10 | 2025 | 0 |
About Wouter Bossuyt
Wouter Bossuyt is a scholar working on Molecular Biology, Cell Biology, Oncology, Epidemiology and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), DNA Repair Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper), Animal Genetics and Reproduction (1 paper) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Cell Biology (1.2k citations), Molecular Biology (790 citations), Biochemistry (55 citations), Hepatology (48 citations) and Aging (11 citations). Wouter Bossuyt has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Georg Halder, Leticia Sansores-García, Chunyao Tao, Milton J. Finegold, Li Lu, Ju‐Seog Lee, Randy L. Johnson, Soo Mi Kim, Pu Liu and Yingdi Wang. Their work appears in journals such as PLoS Biology, Proceedings of the National Academy of Sciences, Emerging infectious diseases, Cancer Discovery and PLoS ONE.
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.