G Lenoir
- Oncology top 5%
- Pathology and Forensic Medicine top 2%
- Immunology top 10%
- Molecular Biology
- Epidemiology
- Co-authors
- M VuillaumeRiccardo Dalla‐FaveraGianluca GaïdanoKenneth OffitRS ChagantiP. de KinkelinGeorg W. BornkammG de-Thé
- Topics
- Viral-associated cancers and disorders (20 papers)Lymphoma Diagnosis and Treatment (18 papers)Parvovirus B19 Infection Studies (6 papers)
- Partner nations
- FranceGermanySwitzerland
In The Last Decade
G Lenoir
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 74
- Oncology 655
- Pathology and Forensic Medicine 474
- Immunology 380
- Molecular Biology 342
- Epidemiology 200
Countries citing papers authored by G Lenoir
This map shows the geographic impact of G Lenoir'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 G Lenoir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Lenoir more than expected).
Fields of papers citing papers by G Lenoir
This network shows the impact of papers produced by G Lenoir. 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 G Lenoir. The network helps show where G Lenoir may publish in the future.
Co-authorship network of co-authors of G Lenoir
This figure shows the co-authorship network connecting the top 25 collaborators of G Lenoir. A scholar is included among the top collaborators of G Lenoir 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 G Lenoir. G Lenoir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 129 | |
| 2 | 88 | |
| 3 | 2 | |
| 4 | Severe lymphoproliferative disease and Kaposi sarcoma in transplant patients. | 14 |
| 5 | [Immunodeficiency and cancer]. | 1 |
| 6 | Expression of c-fgr in EBV positive and negative B cell tumors. | 2 |
| 7 | 4 | |
| 8 | 22 | |
| 9 | 2 | |
| 10 | The use of lymphomatous and lymphoblastoid cell lines in the study of Burkitt's lymphoma. | 112 |
| 11 | Molecular characterization of the Epstein-Barr virus DNA in three new Burkitt's lymphoma-derived cell lines. | 8 |
| 12 | [Cystic fibrosis in an African child. Apropos of a case]. | 2 |
| 13 | [Translocations t(2;8) and t(8;22) in continuous cell lines of African Burkitt's lymphoma]. | 5 |
| 14 | [Congenital syphilis, malnutrition and Pneumocystis carinii pneumonia]. | 1 |
| 15 | 44 | |
| 16 | 64 | |
| 17 | 42 | |
| 18 | 30 | |
| 19 | 19 | |
| 20 | 16 |
About G Lenoir
G Lenoir is a scholar working on Pathology and Forensic Medicine, Oncology and Infectious Diseases, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (20 papers), Lymphoma Diagnosis and Treatment (18 papers) and Parvovirus B19 Infection Studies (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (474 citations), Oncology (655 citations) and Immunology (380 citations). G Lenoir has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include M Vuillaume, Riccardo Dalla‐Favera, Gianluca Gaïdano, Kenneth Offit, RS Chaganti, P. de Kinkelin, Georg W. Bornkamm, G de-Thé, J. Daillie and T Ooka. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Blood.
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.