Jean‐Michel Jault
- Molecular Biology top 5%
- Oncology top 2%
- Genetics top 5%
- Epidemiology top 10%
- Molecular Medicine top 1%
- Co-authors
- Cédric OrelleGwenaëlle ConseilGuila DayanW S AllisonDenís BarronAttilio Di PietroOlivier DalmasEmmanuelle Steinfels
- Topics
- Drug Transport and Resistance Mechanisms (40 papers)Bacterial Genetics and Biotechnology (21 papers)ATP Synthase and ATPases Research (19 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Jean‐Michel Jault
101 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 2.3k
- Oncology 1.3k
- Genetics 457
- Epidemiology 422
- Molecular Medicine 372
Countries citing papers authored by Jean‐Michel Jault
This map shows the geographic impact of Jean‐Michel Jault'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‐Michel Jault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Michel Jault more than expected).
Fields of papers citing papers by Jean‐Michel Jault
This network shows the impact of papers produced by Jean‐Michel Jault. 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‐Michel Jault. The network helps show where Jean‐Michel Jault may publish in the future.
Co-authorship network of co-authors of Jean‐Michel Jault
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Michel Jault. A scholar is included among the top collaborators of Jean‐Michel Jault 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‐Michel Jault. Jean‐Michel Jault 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 | 4 | |
| 3 | 29 | |
| 4 | 10 | |
| 5 | 11 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 26 | |
| 9 | 95 | |
| 10 | 11 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | The ABC transporter BmrA from Bacillus subtilis is a functional dimer when in a detergent-solubilized state. | 1 |
| 14 | 15 | |
| 15 | 201 | |
| 16 | 10 | |
| 17 | 57 | |
| 18 | 13 | |
| 19 | 15 | |
| 20 | 9 |
About Jean‐Michel Jault
Jean‐Michel Jault is a scholar working on Molecular Medicine, Oncology and Energy Engineering and Power Technology, having authored 103 papers that have together received 3.6k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (40 papers), Bacterial Genetics and Biotechnology (21 papers) and ATP Synthase and ATPases Research (19 papers). The work is most often cited by research in Molecular Medicine (372 citations), Oncology (1.3k citations) and Molecular Biology (2.3k citations). Jean‐Michel Jault has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Cédric Orelle, Gwenaëlle Conseil, Guila Dayan, W S Allison, Denís Barron, Attilio Di Pietro, Olivier Dalmas, Emmanuelle Steinfels, William S. Allison and C. Geourjon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.