S. Baillot-Rudoni
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Cardiology and Cardiovascular Medicine
- Pharmacology
- Genetics
- Co-authors
- Bruno VergèsLaurence DuvillardJean‐Michel PetitBenjamin BouilletJean-Paul Paı̈s de BarrosE FlorentinAlexia RoulandPascal Degrace
- Topics
- Diabetes Treatment and Management (11 papers)Diabetes Management and Research (9 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismDiabetes CareArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
S. Baillot-Rudoni
21 papers receiving 316 citations
Peers
Comparison fields: 5 of 50
- Endocrinology, Diabetes and Metabolism 226
- Surgery 161
- Cardiology and Cardiovascular Medicine 76
- Pharmacology 65
- Genetics 53
Countries citing papers authored by S. Baillot-Rudoni
This map shows the geographic impact of S. Baillot-Rudoni'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 S. Baillot-Rudoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Baillot-Rudoni more than expected).
Fields of papers citing papers by S. Baillot-Rudoni
This network shows the impact of papers produced by S. Baillot-Rudoni. 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 S. Baillot-Rudoni. The network helps show where S. Baillot-Rudoni may publish in the future.
Co-authorship network of co-authors of S. Baillot-Rudoni
This figure shows the co-authorship network connecting the top 25 collaborators of S. Baillot-Rudoni. A scholar is included among the top collaborators of S. Baillot-Rudoni 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 S. Baillot-Rudoni. S. Baillot-Rudoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 32 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 50 | |
| 6 | 20 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 30 | |
| 13 | 12 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 26 | |
| 18 | 21 | |
| 19 | 3 | |
| 20 | 7 |
About S. Baillot-Rudoni
S. Baillot-Rudoni is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 327 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (11 papers), Diabetes Management and Research (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (226 citations), Pharmacology (65 citations) and Surgery (161 citations). S. Baillot-Rudoni has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Bruno Vergès, Laurence Duvillard, Jean‐Michel Petit, Benjamin Bouillet, Jean-Paul Paı̈s de Barros, E Florentin, Alexia Rouland, Pascal Degrace, Laurent Demizieux and Philippe Gambert. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Arteriosclerosis Thrombosis and Vascular Biology.
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.