Stéphane Swillens
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics
- Cell Biology top 10%
- Co-authors
- Gilbert VassartLaurent CombettesGeneviève DupontJacques E. DumontLuc MerckenMarc MassaerPhilippe ChampeilThierry Tordjmann
- Topics
- Receptor Mechanisms and Signaling (12 papers)Neuropeptides and Animal Physiology (8 papers)Thyroid Disorders and Treatments (8 papers)
In The Last Decade
Stéphane Swillens
38 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 911
- Cellular and Molecular Neuroscience 343
- Endocrinology, Diabetes and Metabolism 259
- Genetics 152
- Cell Biology 121
Countries citing papers authored by Stéphane Swillens
This map shows the geographic impact of Stéphane Swillens'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 Stéphane Swillens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Swillens more than expected).
Fields of papers citing papers by Stéphane Swillens
This network shows the impact of papers produced by Stéphane Swillens. 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 Stéphane Swillens. The network helps show where Stéphane Swillens may publish in the future.
Co-authorship network of co-authors of Stéphane Swillens
This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Swillens. A scholar is included among the top collaborators of Stéphane Swillens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stéphane Swillens. Stéphane Swillens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 30 | |
| 3 | 3 | |
| 4 | 227 | |
| 5 | 52 | |
| 6 | 12 | |
| 7 | 85 | |
| 8 | 5 | |
| 9 | 146 | |
| 10 | 17 | |
| 11 | 46 | |
| 12 | 70 | |
| 13 | 15 | |
| 14 | 4 | |
| 15 | 19 | |
| 16 | Partial sequencing of bovine thyroglobulin mRNA | 1 |
| 17 | 5 | |
| 18 | 7 | |
| 19 | Regulation of thyroid metabolism through the cAMP system: A qualitative and quantitative analysis | 1 |
| 20 | Le métabolisme cellulaire de la thyroïde et sa régulation | 0 |
About Stéphane Swillens
Stéphane Swillens is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (8 papers) and Thyroid Disorders and Treatments (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (343 citations), Endocrinology, Diabetes and Metabolism (259 citations) and Molecular Biology (911 citations). Stéphane Swillens has collaborated with scholars based in Belgium, France and Canada. Frequent co-authors include Gilbert Vassart, Laurent Combettes, Geneviève Dupont, Jacques E. Dumont, Luc Mercken, Marc Massaer, Philippe Champeil, Thierry Tordjmann, Caroline Clair and Sabine Costagliola. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.