Jean‐Michel Petit
- Epidemiology top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Hepatology top 1%
- Molecular Biology
- Co-authors
- Bruno VergèsLaurence DuvillardPatrick HillonBenjamin BouilletJean–Pierre CercueilRomaric LoffroyBoris GuiuDamien Denimal
- Topics
- Liver Disease Diagnosis and Treatment (31 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers)Diabetes Treatment and Management (14 papers)
- Partner nations
- FranceUnited KingdomBelgium
In The Last Decade
Jean‐Michel Petit
110 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 123
- Epidemiology 1.4k
- Endocrinology, Diabetes and Metabolism 1.2k
- Surgery 757
- Hepatology 635
- Molecular Biology 513
Countries citing papers authored by Jean‐Michel Petit
This map shows the geographic impact of Jean‐Michel Petit'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 Petit 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 Petit more than expected).
Fields of papers citing papers by Jean‐Michel Petit
This network shows the impact of papers produced by Jean‐Michel Petit. 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 Petit. The network helps show where Jean‐Michel Petit may publish in the future.
Co-authorship network of co-authors of Jean‐Michel Petit
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Michel Petit. A scholar is included among the top collaborators of Jean‐Michel Petit 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 Petit. Jean‐Michel Petit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 32 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 29 | |
| 11 | 32 | |
| 12 | 13 | |
| 13 | 48 | |
| 14 | 12 | |
| 15 | 32 | |
| 16 | 9 | |
| 17 | 29 | |
| 18 | 19 | |
| 19 | [Diagnosis and localization of ventricular septal defects by two-dimensional echocardiography. 50 cases]. | 1 |
| 20 | 2 |
About Jean‐Michel Petit
Jean‐Michel Petit is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology and Epidemiology, having authored 117 papers that have together received 3.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (31 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers) and Diabetes Treatment and Management (14 papers). The work is most often cited by research in Hepatology (635 citations), Endocrinology, Diabetes and Metabolism (1.2k citations) and Epidemiology (1.4k citations). Jean‐Michel Petit has collaborated with scholars based in France, United Kingdom and Belgium. Frequent co-authors include Bruno Vergès, Laurence Duvillard, Patrick Hillon, Benjamin Bouillet, Jean–Pierre Cercueil, Romaric Loffroy, Boris Guiu, Damien Denimal, Serge Aho and David Masson. Their work appears in journals such as PLoS ONE, Hepatology and The Journal of Clinical Endocrinology & Metabolism.
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.