Jean‐Pierre Maffrand
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Cellular and Molecular Neuroscience top 1%
- Pharmacology top 0.5%
- Surgery top 5%
- Co-authors
- Jean‐Marc HerbertMarc PascalPhilippe SoubriéPierre SaviGérard Le FurJean‐Marie PereilloC. PicardClaudine Serradeil‐Le Gal
- Topics
- Receptor Mechanisms and Signaling (19 papers)Neuropeptides and Animal Physiology (15 papers)Synthesis and Reactivity of Sulfur-Containing Compounds (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- FranceItalySwitzerland
In The Last Decade
Jean‐Pierre Maffrand
90 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 1.6k
- Cardiology and Cardiovascular Medicine 1.3k
- Cellular and Molecular Neuroscience 1.3k
- Pharmacology 1.3k
- Surgery 769
Countries citing papers authored by Jean‐Pierre Maffrand
This map shows the geographic impact of Jean‐Pierre Maffrand'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 Jean‐Pierre Maffrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Pierre Maffrand more than expected).
Fields of papers citing papers by Jean‐Pierre Maffrand
This network shows the impact of papers produced by Jean‐Pierre Maffrand. 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 Jean‐Pierre Maffrand. The network helps show where Jean‐Pierre Maffrand may publish in the future.
Co-authorship network of co-authors of Jean‐Pierre Maffrand
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pierre Maffrand. A scholar is included among the top collaborators of Jean‐Pierre Maffrand 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 Jean‐Pierre Maffrand. Jean‐Pierre Maffrand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 41 | |
| 3 | 381 | |
| 4 | 180 | |
| 5 | 72 | |
| 6 | 26 | |
| 7 | 356 | |
| 8 | 17 | |
| 9 | 40 | |
| 10 | 396 | |
| 11 | 36 | |
| 12 | 40 | |
| 13 | 15 | |
| 14 | 8 | |
| 15 | 161 | |
| 16 | 98 | |
| 17 | 15 | |
| 18 | 156 | |
| 19 | 19 | |
| 20 | 30 |
About Jean‐Pierre Maffrand
Jean‐Pierre Maffrand is a scholar working on Internal Medicine, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 90 papers that have together received 5.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (15 papers) and Synthesis and Reactivity of Sulfur-Containing Compounds (10 papers). The work is most often cited by research in Behavioral Neuroscience (518 citations), Endocrine and Autonomic Systems (677 citations) and Internal Medicine (352 citations). Jean‐Pierre Maffrand has collaborated with scholars based in France, Italy and Switzerland. Frequent co-authors include Jean‐Marc Herbert, Marc Pascal, Philippe Soubrié, Pierre Savi, Gérard Le Fur, Jean‐Marie Pereillo, C. Picard, Claudine Serradeil‐Le Gal, Jean Combalbert and B. Scatton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.