S. Barbier
Impact in
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
-
- Renal Transplantation Outcomes and Treatments 6
-
- Heart Failure Treatment and Management 2
- Co-authors
- M. Büchler (4 shared papers)Christian Thuillez (4 shared papers)Christophe Legendre (4 shared papers)Yannick Le Meur (3 shared papers)Éric Thervet (2 shared papers)Paul Mulder (2 shared papers)Sylvanie Renet (2 shared papers)Jean Paul Henry (2 shared papers)
In The Last Decade
S. Barbier
11 papers receiving 994 citations
Peers
Comparison fields: 5 of 73
- Transplantation 496
- Nephrology 142
- Cardiology and Cardiovascular Medicine 284
- Physiology 56
- Pediatrics, Perinatology and Child Health 215
Countries citing papers authored by S. Barbier
This map shows the geographic impact of S. Barbier'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. Barbier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Barbier more than expected).
Fields of papers citing papers by S. Barbier
This network shows the impact of papers produced by S. Barbier. 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. Barbier. The network helps show where S. Barbier may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Barbier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 282 | |
| 2 | 2004 | 247 | |
| 3 | 2008 | 149 | |
| 4 | 2007 | 148 | |
| 5 | 2010 | 59 | |
| 6 | 2011 | 58 | |
| 7 | Experience from large scale use of the EuroGenomics custom SNP chip in cattle | 2018 | 23 |
| 8 | 2004 | 21 | |
| 9 | 2010 | 18 | |
| 10 | 2008 | 2 | |
| 11 | 2011 | 1 |
About S. Barbier
S. Barbier is a scholar working on Transplantation, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (6 papers), Pharmacological Effects and Toxicity Studies (2 papers), Heart Failure Treatment and Management (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Organ Donation and Transplantation (2 papers), Renal and Vascular Pathologies (2 papers), Renal Diseases and Glomerulopathies (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Transplantation (496 citations), Nephrology (142 citations), Cardiology and Cardiovascular Medicine (284 citations), Physiology (56 citations) and Pediatrics, Perinatology and Child Health (215 citations). S. Barbier has collaborated with scholars based in France, Thailand and Japan. Frequent co-authors include M. Büchler, Christian Thuillez, Christophe Legendre, Yannick Le Meur, Éric Thervet, Paul Mulder, Sylvanie Renet, Jean Paul Henry, Olivier Toupance and Bruno Moulin. Their work appears in journals such as American Journal of Transplantation, Journal of Cardiovascular Pharmacology, Transplant International, Clinical Pharmacology & Therapeutics and Transplantation.
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.