Christophe Legendre
- Molecular Biology
- Epidemiology top 10%
- Immunology top 10%
- Transplantation top 1%
- Cancer Research top 10%
- Co-authors
- Henri KreisÉric ThervetAlexandre KarrasChristopher D. StillGlenn S. GerhardJohanna K. DiStefanoLucienne ChatenoudXin Chu
- Topics
- Renal Transplantation Outcomes and Treatments (12 papers)Multiple Myeloma Research and Treatments (8 papers)Cancer Genomics and Diagnostics (7 papers)
- Journals
- Nucleic Acids ResearchJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Christophe Legendre
60 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 477
- Epidemiology 364
- Immunology 314
- Transplantation 294
- Cancer Research 287
Countries citing papers authored by Christophe Legendre
This map shows the geographic impact of Christophe Legendre'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 Christophe Legendre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Legendre more than expected).
Fields of papers citing papers by Christophe Legendre
This network shows the impact of papers produced by Christophe Legendre. 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 Christophe Legendre. The network helps show where Christophe Legendre may publish in the future.
Co-authorship network of co-authors of Christophe Legendre
This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Legendre. A scholar is included among the top collaborators of Christophe Legendre 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 Christophe Legendre. Christophe Legendre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | Novel Genetic Variants in Extreme Phenotypes of Diabetic Retinopathy: DRGen Study | 4 |
| 3 | 48 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 26 | |
| 8 | 58 | |
| 9 | 71 | |
| 10 | 47 | |
| 11 | 38 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 8 | |
| 17 | 61 | |
| 18 | 15 | |
| 19 | 42 | |
| 20 | 250 |
About Christophe Legendre
Christophe Legendre is a scholar working on Transplantation, Hematology and Cancer Research, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (12 papers), Multiple Myeloma Research and Treatments (8 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Transplantation (294 citations), Cancer Research (287 citations) and Hepatology (137 citations). Christophe Legendre has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Henri Kreis, Éric Thervet, Alexandre Karras, Christopher D. Still, Glenn S. Gerhard, Johanna K. DiStefano, Lucienne Chatenoud, Xin Chu, Jean‐François Bach and Winnie S. Liang. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.