Jean-François Aubert
- Cellular and Molecular Neuroscience top 0.5%
- Pharmacology top 0.5%
- Molecular Biology top 10%
- Endocrine and Autonomic Systems top 1%
- Cognitive Neuroscience top 5%
- Co-authors
- Thierry PedrazziniWalter FrattaFrançois PetitetGilbert VassartBernárd P. RoquesG CossuMarc ParmentierF. Beslot
- Topics
- Neuropeptides and Animal Physiology (15 papers)Receptor Mechanisms and Signaling (11 papers)Renin-Angiotensin System Studies (8 papers)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Jean-François Aubert
62 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Cellular and Molecular Neuroscience 2.3k
- Pharmacology 1.2k
- Molecular Biology 1.1k
- Endocrine and Autonomic Systems 718
- Cognitive Neuroscience 643
Countries citing papers authored by Jean-François Aubert
This map shows the geographic impact of Jean-François Aubert'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-François Aubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-François Aubert more than expected).
Fields of papers citing papers by Jean-François Aubert
This network shows the impact of papers produced by Jean-François Aubert. 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-François Aubert. The network helps show where Jean-François Aubert may publish in the future.
Co-authorship network of co-authors of Jean-François Aubert
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-François Aubert. A scholar is included among the top collaborators of Jean-François Aubert 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-François Aubert. Jean-François Aubert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 11 | |
| 6 | 39 | |
| 7 | 12 | |
| 8 | Die Kantone vor der Herausforderung eines EU-Beitritts : Bericht der Arbeitsgruppe "Europa-Reformen der Kantone" | 0 |
| 9 | 96 | |
| 10 | 41 | |
| 11 | 6 | |
| 12 | 323 | |
| 13 | 18 | |
| 14 | 10 | |
| 15 | Bundesstaatsrecht der Schweiz | 1 |
| 16 | 1 | |
| 17 | 14 | |
| 18 | 22 | |
| 19 | Les Droits politiques dans les cantons suisses | 1 |
| 20 | Petite histoire constitutionnelle de la Suisse | 7 |
About Jean-François Aubert
Jean-François Aubert is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Aging, having authored 67 papers that have together received 4.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (15 papers), Receptor Mechanisms and Signaling (11 papers) and Renin-Angiotensin System Studies (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Endocrine and Autonomic Systems (718 citations) and Pharmacology (1.2k citations). Jean-François Aubert has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Thierry Pedrazzini, Walter Fratta, François Petitet, Gilbert Vassart, Bernárd P. Roques, G Cossu, Marc Parmentier, F. Beslot, Olga Valverde and Georg Andrees Böhme. Their work appears in journals such as Science, 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.