Stéphane Leprêtre
Impact in
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 63
- Chronic Lymphocytic Leukemia Research 60
-
- Lymphoma Diagnosis and Treatment 51
- Co-authors
- Hervé Tilly (20 shared papers)Fabrice Jardin (20 shared papers)Aspasia Stamatoullas (14 shared papers)Emmanuel Raffoux (9 shared papers)Pascal Lenain (17 shared papers)Christian Bastard (11 shared papers)Hervé Dombret (10 shared papers)Tadeusz Robak (6 shared papers)
- Journals
- Blood (31 papers)Leukemia (7 papers)Journal of Clinical Oncology (6 papers)Haematologica (5 papers)British Journal of Haematology (4 papers)
- Partner nations
- FranceBelgiumSwitzerland
In The Last Decade
Stéphane Leprêtre
107 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 108
- Genetics 999
- Pathology and Forensic Medicine 1.1k
- Hematology 674
- Oncology 661
- Immunology 446
Countries citing papers authored by Stéphane Leprêtre
This map shows the geographic impact of Stéphane Leprêtre'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 Stéphane Leprêtre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Leprêtre more than expected).
Fields of papers citing papers by Stéphane Leprêtre
This network shows the impact of papers produced by Stéphane Leprêtre. 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 Stéphane Leprêtre. The network helps show where Stéphane Leprêtre may publish in the future.
Co-authors
The 25 scholars most cited alongside Stéphane Leprêtre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 287 | |
| 2 | 2015 | 239 | |
| 3 | 2014 | 187 | |
| 4 | 2017 | 116 | |
| 5 | 2014 | 107 | |
| 6 | 2009 | 102 | |
| 7 | 2017 | 75 | |
| 8 | 2012 | 66 | |
| 9 | 2000 | 60 | |
| 10 | 2010 | 58 | |
| 11 | 2002 | 56 | |
| 12 | 2000 | 54 | |
| 13 | 2014 | 42 | |
| 14 | 2003 | 42 | |
| 15 | 1991 | 39 | |
| 16 | 2015 | 37 | |
| 17 | 2002 | 36 | |
| 18 | 2019 | 35 | |
| 19 | 2013 | 35 | |
| 20 | 2011 | 34 |
About Stéphane Leprêtre
Stéphane Leprêtre is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Public Health, Environmental and Occupational Health and Oncology, having authored 113 papers that have together received 2.6k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (60 papers), Lymphoma Diagnosis and Treatment (51 papers), Acute Lymphoblastic Leukemia research (30 papers), Immunodeficiency and Autoimmune Disorders (24 papers), Neutropenia and Cancer Infections (9 papers), Acute Myeloid Leukemia Research (8 papers), Viral-associated cancers and disorders (7 papers) and Chronic Myeloid Leukemia Treatments (7 papers). The work is most often cited by research in Genetics (999 citations), Pathology and Forensic Medicine (1.1k citations), Hematology (674 citations), Oncology (661 citations) and Immunology (446 citations). Stéphane Leprêtre has collaborated with scholars based in France, Belgium and Switzerland. Frequent co-authors include Hervé Tilly, Fabrice Jardin, Aspasia Stamatoullas, Emmanuel Raffoux, Pascal Lenain, Christian Bastard, Hervé Dombret, Tadeusz Robak, Gérard Buchonnet and Thibaut Leguay. Their work appears in journals such as Blood, Leukemia, Journal of Clinical Oncology, Haematologica and British Journal of Haematology.
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.