Jean‐Benoît Arlet
- Genetics top 2%
- Hemoglobinopathies and Related Disorders 47
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Hematology top 2%
- Iron Metabolism and Disorders 22
- Blood groups and transfusion 10
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research 6
- Infectious Diseases top 10%
- Nephrology top 10%
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- Bone and Joint Diseases 6
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- Erythrocyte Function and Pathophysiology 5
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- Neonatal Health and Biochemistry 4
- Co-authors
- J. PouchotJean‐Antoine RibeilOlivier HermineG. CourtoisMichaël DussiotIvan Cruz MouraMarie CourbebaisseDominique Prié
- Cited by
- GeneticsHematologyRheumatology
- Journals
- Blood (12 papers)British Journal of Haematology (7 papers)Journal of Clinical Medicine (4 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Jean‐Benoît Arlet
95 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Genetics 470
- Hematology 477
- Rheumatology 134
- Infectious Diseases 142
- Nephrology 51
Countries citing papers authored by Jean‐Benoît Arlet
This map shows the geographic impact of Jean‐Benoît Arlet'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 Jean‐Benoît Arlet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Benoît Arlet more than expected).
Fields of papers citing papers by Jean‐Benoît Arlet
This network shows the impact of papers produced by Jean‐Benoît Arlet. 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 Jean‐Benoît Arlet. The network helps show where Jean‐Benoît Arlet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean‐Benoît Arlet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 5 | |
| 10 | 2017 | 0 | |
| 11 | 2016 | 7 | |
| 12 | 2013 | 87 | |
| 13 | 2012 | 63 | |
| 14 | 2012 | 63 | |
| 15 | 2009 | 49 | |
| 16 | 2009 | 3 | |
| 17 | 2008 | 8 | |
| 18 | 2007 | 1 | |
| 19 | 2007 | 27 | |
| 20 | [Risk of acute leukosis after treatment of chronic inflammatory rheumatism and connective tissue inflammation with immunosuppressive cytotoxic drugs. Results of a retrospective study of 2,006 treated patients]. | 1979 | 1 |
About Jean‐Benoît Arlet
Jean‐Benoît Arlet is a scholar working on Genetics, Hematology, Rheumatology, Issues, ethics and legal aspects and Anatomy, having authored 109 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (47 papers), Iron Metabolism and Disorders (22 papers), Blood groups and transfusion (10 papers), Systemic Lupus Erythematosus Research (6 papers), Bone and Joint Diseases (6 papers), Erythrocyte Function and Pathophysiology (5 papers), Neonatal Health and Biochemistry (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). The work is most often cited by research in Genetics (470 citations), Hematology (477 citations), Rheumatology (134 citations), Infectious Diseases (142 citations) and Nephrology (51 citations). Jean‐Benoît Arlet has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include J. Pouchot, Jean‐Antoine Ribeil, Olivier Hermine, G. Courtois, Michaël Dussiot, Ivan Cruz Moura, Marie Courbebaisse, Dominique Prié, Brigitte Ranque and Mariane de Montalembert. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Medicine, Bone and Neurological Sciences.
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.