Carmen Lefaucheur
- Transplantation top 0.02%
- Surgery top 1%
- Nephrology top 0.2%
- Immunology top 2%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Alexandre LoupyDenis GlotzDominique NochyGary S. HillDominique CharronChristophe LegendreCaroline Suberbielle‐BoisselXavier Jouven
- Topics
- Renal Transplantation Outcomes and Treatments (76 papers)Transplantation: Methods and Outcomes (27 papers)Renal Diseases and Glomerulopathies (26 papers)
- Cited by
- TransplantationNephrologyImmunology
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Carmen Lefaucheur
90 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Transplantation 4.4k
- Surgery 2.7k
- Nephrology 1.6k
- Immunology 1.5k
- Public Health, Environmental and Occupational Health 881
Countries citing papers authored by Carmen Lefaucheur
This map shows the geographic impact of Carmen Lefaucheur'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 Carmen Lefaucheur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Lefaucheur more than expected).
Fields of papers citing papers by Carmen Lefaucheur
This network shows the impact of papers produced by Carmen Lefaucheur. 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 Carmen Lefaucheur. The network helps show where Carmen Lefaucheur may publish in the future.
Co-authorship network of co-authors of Carmen Lefaucheur
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Lefaucheur. A scholar is included among the top collaborators of Carmen Lefaucheur 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 Carmen Lefaucheur. Carmen Lefaucheur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 38 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | 36 | |
| 9 | 49 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 115 | |
| 13 | 39 | |
| 14 | A MULTIDIMENSIONAL PROGNOSTIC SCORE AND NOMOGRAM TO PREDICT KIDNEY TRANSPLANT SURVIVAL: THE INTEGRATIVE BOX (IBOX) SYSTEM | 3 |
| 15 | 60 | |
| 16 | 226 | |
| 17 | 40 | |
| 18 | 97 | |
| 19 | 24 | |
| 20 | 180 |
About Carmen Lefaucheur
Carmen Lefaucheur is a scholar working on Transplantation, Nephrology and Immunology, having authored 94 papers that have together received 5.7k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (76 papers), Transplantation: Methods and Outcomes (27 papers) and Renal Diseases and Glomerulopathies (26 papers). The work is most often cited by research in Transplantation (4.4k citations), Nephrology (1.6k citations) and Immunology (1.5k citations). Carmen Lefaucheur has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Alexandre Loupy, Denis Glotz, Dominique Nochy, Gary S. Hill, Dominique Charron, Christophe Legendre, Caroline Suberbielle‐Boissel, Xavier Jouven, Jean–Paul Duong Van Huyen and Olivier Aubert. Their work appears in journals such as New England Journal of Medicine, The Lancet and Nature Communications.
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.