Mikaël Ebbo

7.5k citations
104 papers · 2.2k · h-index 23

Impact in

  • Hematology top 2%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • IgG4-Related and Inflammatory Diseases

Papers in

    • IgG4-Related and Inflammatory Diseases 25
    • Platelet Disorders and Treatments 23
    • Blood groups and transfusion 15

Mikaël Ebbo

88 papers receiving 2.2k citations

Peers

Mikaël Ebbo
Comparison fields: 5 of 101
  • Hematology 548
  • Rheumatology 674
  • Immunology 741
  • Genetics 224
  • Pathology and Forensic Medicine 252
Replace Xavier Mariette with:
Xavier Mariette France
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Antonio Núñez‐Roldán Spain
Masaya Mukai Japan
Hajime Yoshifuji Japan
Christof Iking‐Konert Germany
Alain Chevailler France
Karyl S. Barron United States
Chengde Yang China
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Citations per field
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Citations per year

Countries citing papers authored by Mikaël Ebbo

Since Specialization
Citations

This map shows the geographic impact of Mikaël Ebbo'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 Mikaël Ebbo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikaël Ebbo more than expected).

Fields of papers citing papers by Mikaël Ebbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikaël Ebbo. 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 Mikaël Ebbo. The network helps show where Mikaël Ebbo may publish in the future.

Co-authors

The 25 scholars most cited alongside Mikaël Ebbo, 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 Mikaël Ebbo Line = papers co-authored together Mikaël Ebbo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018296
2 2017261
3 2012144
4 2013133
5 2019116
6 2012106
7 2014103
8 201892
9 201687
10 201665
11 201764
12 201661
13 202044
14 201540
15 201836
16 201536
17 201428
18 201124
19 201324
20 201324

About Mikaël Ebbo

Mikaël Ebbo is a scholar working on Rheumatology, Hematology, Epidemiology, Genetics and Surgery, having authored 104 papers that have together received 2.2k indexed citations. Recurring topics across this work include IgG4-Related and Inflammatory Diseases (25 papers), Platelet Disorders and Treatments (23 papers), Neuroendocrine Tumor Research Advances (17 papers), Blood groups and transfusion (15 papers), Chronic Lymphocytic Leukemia Research (13 papers), Gastrointestinal disorders and treatments (10 papers), Vasculitis and related conditions (8 papers) and Inflammatory Myopathies and Dermatomyositis (8 papers). The work is most often cited by research in Hematology (548 citations), Rheumatology (674 citations), Immunology (741 citations), Genetics (224 citations) and Pathology and Forensic Medicine (252 citations). Mikaël Ebbo has collaborated with scholars based in France, United States and Italy. Frequent co-authors include N. Schleinitz, Frédéric Vely, Éric Vivier, Adeline Crinier, Bertrand Godeau, Jean‐Robert Harlé, Marc Michel, A. Grados, E. Bernit and Mehdi Khellaf. Their work appears in journals such as Blood, Lara D. Veeken, British Journal of Haematology, Autoimmunity Reviews and American Journal of Hematology.

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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