Jean‐Benoît Arlet

5.0k citations
115 papers · 1.2k · h-index 19

Impact in

  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 2%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion
    • Autoimmune and Inflammatory Disorders Research

Papers in

    • Hemoglobinopathies and Related Disorders 48
    • Iron Metabolism and Disorders 18
    • Blood groups and transfusion 8
    • Platelet Disorders and Treatments 4
    • Autoimmune and Inflammatory Disorders Research 4

Jean‐Benoît Arlet

98 papers receiving 1.1k citations

Peers

Jean‐Benoît Arlet
Comparison fields: 5 of 99
  • Genetics 472
  • Hematology 418
  • Rheumatology 115
  • Nephrology 47
  • Infectious Diseases 117
Replace Neil A. Lachant with:
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Citations per year

Countries citing papers authored by Jean‐Benoît Arlet

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jean‐Benoît Arlet Line = papers co-authored together Jean‐Benoît Arlet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201396
2 200678
3 202077
4 201271
5 201266
6 201266
7 200950
8 201840
9 201240
10 200840
11 201740
12 201236
13 200732
14 200432
15 200729
16 201628
17 200927
18 202125
19
[Acute leukaemias after treatment using cytotoxic agents for rheumatological purpose. 19 cases among 2006 patients(author's transl)].
197920
20 201314

About Jean‐Benoît Arlet

Jean‐Benoît Arlet is a scholar working on Genetics, Hematology, Rheumatology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 115 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (48 papers), Iron Metabolism and Disorders (18 papers), Blood groups and transfusion (8 papers), Systemic Lupus Erythematosus Research (5 papers), Vasculitis and related conditions (4 papers), Platelet Disorders and Treatments (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and Autoimmune and Inflammatory Disorders Research (4 papers). The work is most often cited by research in Genetics (472 citations), Hematology (418 citations), Rheumatology (115 citations), Nephrology (47 citations) and Infectious Diseases (117 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 Pablo Bartolucci. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Medicine, Bone and Haematologica.

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.

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