Éric Durot
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Blood disorders and treatments
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 28
- Chronic Lymphocytic Leukemia Research 28
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- Lymphoma Diagnosis and Treatment 29
- Co-authors
- Alain Jacques Delmer (16 shared papers)Véronique Leblond (4 shared papers)Quoc‐Hung Le (1 shared paper)Anne‐Sophie Michallet (3 shared papers)Stéphane Leprêtre (3 shared papers)Anne Quinquenel (5 shared papers)Lukshe Kanagaratnam (4 shared papers)Elise Toussaint (5 shared papers)
- Journals
- Blood (7 papers)Blood Advances (7 papers)American Journal of Hematology (6 papers)British Journal of Haematology (4 papers)Hematological Oncology (4 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Éric Durot
58 papers receiving 677 citations
Peers
Comparison fields: 5 of 31
- Genetics 325
- Pathology and Forensic Medicine 199
- Hematology 110
- Immunology 49
- Dermatology 19
Countries citing papers authored by Éric Durot
This map shows the geographic impact of Éric Durot'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 Éric Durot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Durot more than expected).
Fields of papers citing papers by Éric Durot
This network shows the impact of papers produced by Éric Durot. 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 Éric Durot. The network helps show where Éric Durot may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Durot, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 80 | |
| 2 | 2022 | 78 | |
| 3 | 2017 | 48 | |
| 4 | 2019 | 46 | |
| 5 | 2021 | 39 | |
| 6 | 2014 | 34 | |
| 7 | 2019 | 30 | |
| 8 | 2018 | 28 | |
| 9 | 2019 | 23 | |
| 10 | 2024 | 20 | |
| 11 | 2020 | 19 | |
| 12 | 2020 | 18 | |
| 13 | 2017 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2017 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2024 | 10 | |
| 19 | 2025 | 10 | |
| 20 | 2020 | 9 |
About Éric Durot
Éric Durot is a scholar working on Genetics, Pathology and Forensic Medicine, Dermatology, Hematology and Neurology, having authored 67 papers that have together received 684 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (29 papers), Chronic Lymphocytic Leukemia Research (28 papers), Cutaneous lymphoproliferative disorders research (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Viral-associated cancers and disorders (3 papers), Acute Myeloid Leukemia Research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Genetics (325 citations), Pathology and Forensic Medicine (199 citations), Hematology (110 citations), Immunology (49 citations) and Dermatology (19 citations). Éric Durot has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Alain Jacques Delmer, Véronique Leblond, Quoc‐Hung Le, Anne‐Sophie Michallet, Stéphane Leprêtre, Anne Quinquenel, Lukshe Kanagaratnam, Elise Toussaint, Pierre Morel and Martine Patey. Their work appears in journals such as Blood, Blood Advances, American Journal of Hematology, British Journal of Haematology and Hematological Oncology.
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.