S. Baillot-Rudoni

449 total citations
22 papers, 327 citations indexed

About

S. Baillot-Rudoni is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, S. Baillot-Rudoni has authored 22 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Surgery and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in S. Baillot-Rudoni's work include Diabetes Treatment and Management (11 papers), Diabetes Management and Research (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). S. Baillot-Rudoni is often cited by papers focused on Diabetes Treatment and Management (11 papers), Diabetes Management and Research (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). S. Baillot-Rudoni collaborates with scholars based in France, United States and Belgium. S. Baillot-Rudoni's 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 and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

S. Baillot-Rudoni

21 papers receiving 316 citations

Peers

S. Baillot-Rudoni
Comparison fields: 5 of 50
  • Endocrinology, Diabetes and Metabolism 226
  • Surgery 161
  • Cardiology and Cardiovascular Medicine 76
  • Pharmacology 65
  • Genetics 53
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Citations per field, relative to S. Baillot-Rudoni
S. Baillot-Rudoni · 1×
Citations per year, relative to S. Baillot-Rudoni
S. Baillot-Rudoni · 1×

Countries citing papers authored by S. Baillot-Rudoni

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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