Jean‐Pierre Bourgeois
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Molecular Biology top 10%
- Developmental Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Pasko RakićPatricia S. Goldman‐RakicNada ZečevićMaryellen F. EckenhoffJean‐Pierre ChangeuxJean‐François GohyAnne‐Marie Le SourdAlexandru Vlad
- Topics
- Neuroscience and Neuropharmacology Research (7 papers)Neuroscience and Neural Engineering (6 papers)Nicotinic Acetylcholine Receptors Study (6 papers)
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Jean‐Pierre Bourgeois
32 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cellular and Molecular Neuroscience 1.3k
- Cognitive Neuroscience 1.2k
- Molecular Biology 963
- Developmental Neuroscience 342
- Radiology, Nuclear Medicine and Imaging 325
Countries citing papers authored by Jean‐Pierre Bourgeois
This map shows the geographic impact of Jean‐Pierre Bourgeois'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 Bourgeois 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 Bourgeois more than expected).
Fields of papers citing papers by Jean‐Pierre Bourgeois
This network shows the impact of papers produced by Jean‐Pierre Bourgeois. 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 Bourgeois. The network helps show where Jean‐Pierre Bourgeois may publish in the future.
Co-authorship network of co-authors of Jean‐Pierre Bourgeois
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pierre Bourgeois. A scholar is included among the top collaborators of Jean‐Pierre Bourgeois 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 Bourgeois. Jean‐Pierre Bourgeois is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 27 | |
| 4 | 51 | |
| 5 | 108 | |
| 6 | 40 | |
| 7 | 89 | |
| 8 | 4 | |
| 9 | 19 | |
| 10 | 82 | |
| 11 | 98 | |
| 12 | 55 | |
| 13 | Synaptogenesis in the Prefrontal Cortex of Rhesus Monkeysbreakdown → | 526 |
| 14 | 424 | |
| 15 | 198 | |
| 16 | 5 | |
| 17 | 15 | |
| 18 | 22 | |
| 19 | 24 | |
| 20 | 65 |
About Jean‐Pierre Bourgeois
Jean‐Pierre Bourgeois is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Virology, having authored 32 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Neuroscience and Neural Engineering (6 papers) and Nicotinic Acetylcholine Receptors Study (6 papers). The work is most often cited by research in Developmental Neuroscience (342 citations), Cellular and Molecular Neuroscience (1.3k citations) and Cognitive Neuroscience (1.2k citations). Jean‐Pierre Bourgeois has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Pasko Rakić, Patricia S. Goldman‐Rakic, Nada Zečević, Maryellen F. Eckenhoff, Jean‐Pierre Changeux, Jean‐François Gohy, Anne‐Marie Le Sourd, Alexandru Vlad, Julien Rolland and François Rougeon. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.