Jan Steyaert
Impact in
- Cellular and Molecular Neuroscience top 0.1%
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Molecular Biology top 0.2%
- Receptor Mechanisms and Signaling
- Protein Structure and Dynamics
- Glycosylation and Glycoproteins Research
- RNA and protein synthesis mechanisms
- Lipid Membrane Structure and Behavior
Papers in
- Physiology 20
-
- RNA and protein synthesis mechanisms 43
- Receptor Mechanisms and Signaling 37
- Glycosylation and Glycoproteins Research 29
- Protein Structure and Dynamics 27
- Biochemical and Molecular Research 26
- Co-authors
- Els PardonBrian K. KobilkaSøren G. F. RasmussenWilliam I. WeisRoger K. SunaharaWim VerséesAashish ManglikBrian T. DeVree
- Journals
- Nature (18 papers)Nature Communications (17 papers)Biochemistry (17 papers)Proceedings of the National Academy of Sciences (13 papers)Journal of Biological Chemistry (12 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Jan Steyaert
249 papers receiving 16.2k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Cellular and Molecular Neuroscience 5.2k
- Molecular Biology 13.4k
- Structural Biology 194
- Radiology, Nuclear Medicine and Imaging 3.2k
- Physiology 478
Countries citing papers authored by Jan Steyaert
This map shows the geographic impact of Jan 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 Jan Steyaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Steyaert more than expected).
Fields of papers citing papers by Jan Steyaert
This network shows the impact of papers produced by Jan 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 Jan Steyaert. The network helps show where Jan Steyaert may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 95 | |
| 8 | 2022 | 20 | |
| 9 | 2021 | 58 | |
| 10 | 2021 | 32 | |
| 11 | 2021 | 36 | |
| 12 | 2020 | 13 | |
| 13 | 2020 | 17 | |
| 14 | 2019 | 18 | |
| 15 | 2019 | 44 | |
| 16 | 2019 | 79 | |
| 17 | 2018 | 30 | |
| 18 | 2017 | 137 | |
| 19 | 2015 | 19 | |
| 20 | 1998 | 0 |
About Jan Steyaert
Jan Steyaert is a scholar working on Physiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Structural Biology and Cellular and Molecular Neuroscience, having authored 262 papers that have together received 16.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (59 papers), RNA and protein synthesis mechanisms (43 papers), Receptor Mechanisms and Signaling (37 papers), Enzyme Structure and Function (29 papers), Glycosylation and Glycoproteins Research (29 papers), Protein Structure and Dynamics (27 papers), Biochemical and Molecular Research (26 papers) and Neuropeptides and Animal Physiology (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.2k citations), Molecular Biology (13.4k citations), Structural Biology (194 citations), Radiology, Nuclear Medicine and Imaging (3.2k citations) and Physiology (478 citations). Jan Steyaert has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Els Pardon, Brian K. Kobilka, Søren G. F. Rasmussen, William I. Weis, Roger K. Sunahara, Wim Versées, Aashish Manglik, Brian T. DeVree, Tong Sun Kobilka and Pil Seok Chae. Their work appears in journals such as Nature, Nature Communications, Biochemistry, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.