Fabrice Vandeput
- Molecular Biology top 10%
- Reproductive Medicine top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- David CommuniRichard TyldesleyMasato KotaniSerge N. SchiffmannGilbert VassartMarc ParmentierEmmanuel Le PoulCédric Blanpain
- Topics
- Protein Kinase Regulation and GTPase Signaling (9 papers)Phosphodiesterase function and regulation (8 papers)Receptor Mechanisms and Signaling (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryBiochemical Journal
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Fabrice Vandeput
21 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Molecular Biology 1.3k
- Reproductive Medicine 1.1k
- Cellular and Molecular Neuroscience 274
- Genetics 246
- Endocrine and Autonomic Systems 219
Countries citing papers authored by Fabrice Vandeput
This map shows the geographic impact of Fabrice Vandeput'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 Fabrice Vandeput with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrice Vandeput more than expected).
Fields of papers citing papers by Fabrice Vandeput
This network shows the impact of papers produced by Fabrice Vandeput. 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 Fabrice Vandeput. The network helps show where Fabrice Vandeput may publish in the future.
Co-authorship network of co-authors of Fabrice Vandeput
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Vandeput. A scholar is included among the top collaborators of Fabrice Vandeput 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 Fabrice Vandeput. Fabrice Vandeput is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 70 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 22 | |
| 6 | 57 | |
| 7 | 16 | |
| 8 | 54 | |
| 9 | 86 | |
| 10 | 32 | |
| 11 | 14 | |
| 12 | 24 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 31 | |
| 16 | 47 | |
| 17 | The Metastasis Suppressor Gene KiSS-1 Encodes Kisspeptins, the Natural Ligands of the Orphan G Protein-coupled Receptor GPR54breakdown → | 1242 |
| 18 | 18 | |
| 19 | 69 | |
| 20 | 55 |
About Fabrice Vandeput
Fabrice Vandeput is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (9 papers), Phosphodiesterase function and regulation (8 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Endocrine and Autonomic Systems (219 citations) and Molecular Biology (1.3k citations). Fabrice Vandeput has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include David Communi, Richard Tyldesley, Masato Kotani, Serge N. Schiffmann, Gilbert Vassart, Marc Parmentier, Emmanuel Le Poul, Cédric Blanpain, Jean‐Marie Vanderwinden and Nathalie Suarez-Huerta. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical Journal.
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.