S Peyrol
- Molecular Biology top 10%
- Physiology top 5%
- Epidemiology top 5%
- Surgery top 10%
- Infectious Diseases top 5%
- Co-authors
- Béatrice MorioHubert VidalEmilie ChanséaumeC. BonnardJennifer RieussetAnnie DurandMarie‐Agnès ChauvinJ.A. Grimaud
- Topics
- Liver physiology and pathology (7 papers)Connective tissue disorders research (6 papers)Skin and Cellular Biology Research (5 papers)
- Journals
- Journal of Clinical InvestigationBloodAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- FranceUnited StatesBrazil
In The Last Decade
S Peyrol
74 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.1k
- Physiology 686
- Epidemiology 658
- Surgery 417
- Infectious Diseases 407
Countries citing papers authored by S Peyrol
This map shows the geographic impact of S Peyrol'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 Peyrol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Peyrol more than expected).
Fields of papers citing papers by S Peyrol
This network shows the impact of papers produced by S Peyrol. 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 Peyrol. The network helps show where S Peyrol may publish in the future.
Co-authorship network of co-authors of S Peyrol
This figure shows the co-authorship network connecting the top 25 collaborators of S Peyrol. A scholar is included among the top collaborators of S Peyrol 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 Peyrol. S Peyrol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Mitochondrial dysfunction results from oxidative stress in the skeletal muscle of diet-induced insulin-resistant micebreakdown → | 685 |
| 3 | 30 | |
| 4 | 313 | |
| 5 | 144 | |
| 6 | 21 | |
| 7 | 35 | |
| 8 | 51 | |
| 9 | 13 | |
| 10 | 58 | |
| 11 | 41 | |
| 12 | 50 | |
| 13 | 27 | |
| 14 | 13 | |
| 15 | 19 | |
| 16 | 16 | |
| 17 | 5 | |
| 18 | 19 | |
| 19 | Toxicité hépato-biliaire expérimentale de l'acide lithocholique: modifications ultrastructurales précoces des hépatocytes. | 1 |
| 20 | [Experimental hepato-biliary toxicity of lithocholic acid: early ultrastructural changes of hepatocytes (author's transl)]. | 1 |
About S Peyrol
S Peyrol is a scholar working on Hepatology, Parasitology and Cell Biology, having authored 74 papers that have together received 3.1k indexed citations. Recurring topics across this work include Liver physiology and pathology (7 papers), Connective tissue disorders research (6 papers) and Skin and Cellular Biology Research (5 papers). The work is most often cited by research in Hepatology (367 citations), Clinical Biochemistry (190 citations) and Physiology (686 citations). S Peyrol has collaborated with scholars based in France, United States and Brazil. Frequent co-authors include Béatrice Morio, Hubert Vidal, Emilie Chanséaume, C. Bonnard, Jennifer Rieusset, Annie Durand, Marie‐Agnès Chauvin, J.A. Grimaud, Gérard Lina and François Vandenesch. Their work appears in journals such as Journal of Clinical Investigation, Blood and American Journal of Respiratory and Critical Care Medicine.
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.