Wouter Steyaert
Impact in
Papers in
-
- CRISPR and Genetic Engineering 5
- Ubiquitin and proteasome pathways 2
- Protein Degradation and Inhibitors 2
- Receptor Mechanisms and Signaling 2
- Genetics 16
- Connective tissue disorders research 7
- Genomics and Rare Diseases 5
- Dermatological and Skeletal Disorders 3
- Evolution and Genetic Dynamics 2
- Co-authors
- Paul Coucke (22 shared papers)Anne De Paepe (10 shared papers)Bert Callewaert (6 shared papers)Andy Willaert (6 shared papers)Annekatrien Boel (4 shared papers)Fransiska Malfait (5 shared papers)Sofie Symoens (6 shared papers)Sanne D’hondt (2 shared papers)
- Journals
- Scientific Reports (2 papers)Disease Markers (2 papers)Clinica Chimica Acta (1 paper)The FASEB Journal (1 paper)Journal of genetics and genomics (1 paper)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Wouter Steyaert
27 papers receiving 645 citations
Peers
Comparison fields: 5 of 63
- Aging 22
- Genetics 308
- Molecular Biology 361
- Rheumatology 67
- Business and International Management 7
Countries citing papers authored by Wouter Steyaert
This map shows the geographic impact of Wouter Steyaert'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 Steyaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter Steyaert more than expected).
Fields of papers citing papers by Wouter Steyaert
This network shows the impact of papers produced by Wouter Steyaert. 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 Steyaert. The network helps show where Wouter Steyaert may publish in the future.
Co-authors
The 25 scholars most cited alongside Wouter Steyaert, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 99 | |
| 2 | 2016 | 71 | |
| 3 | 2018 | 70 | |
| 4 | 2016 | 48 | |
| 5 | 2014 | 43 | |
| 6 | 2014 | 43 | |
| 7 | 2015 | 38 | |
| 8 | 2015 | 33 | |
| 9 | 2016 | 28 | |
| 10 | 2015 | 28 | |
| 11 | 2014 | 23 | |
| 12 | 2015 | 20 | |
| 13 | 2019 | 17 | |
| 14 | 2018 | 17 | |
| 15 | 2022 | 12 | |
| 16 | 2017 | 11 | |
| 17 | 2015 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2018 | 8 | |
| 20 | 2022 | 6 |
About Wouter Steyaert
Wouter Steyaert is a scholar working on Molecular Biology, Genetics, Surgery, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 27 papers that have together received 651 indexed citations. Recurring topics across this work include Connective tissue disorders research (7 papers), Genomics and Rare Diseases (5 papers), CRISPR and Genetic Engineering (5 papers), Dermatological and Skeletal Disorders (3 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (2 papers), Evolution and Genetic Dynamics (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Aging (22 citations), Genetics (308 citations), Molecular Biology (361 citations), Rheumatology (67 citations) and Business and International Management (7 citations). Wouter Steyaert has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Paul Coucke, Anne De Paepe, Bert Callewaert, Andy Willaert, Annekatrien Boel, Fransiska Malfait, Sofie Symoens, Sanne D’hondt, Björn Menten and Hans Peter Bächinger. Their work appears in journals such as Scientific Reports, Disease Markers, Clinica Chimica Acta, The FASEB Journal and Journal of genetics and genomics.
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.