Michaël Dussiot

3.9k citations
54 papers · 1.8k indexed · h-index 24

Impact in

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

Papers in

    • Blood groups and transfusion 8
    • Iron Metabolism and Disorders 6
    • Hemoglobinopathies and Related Disorders 13

Michaël Dussiot

53 papers receiving 1.8k citations

Peers

Michaël Dussiot
Comparison fields: 5 of 107
  • Genetics 369
  • Hematology 373
  • Immunology 542
  • Physiology 485
  • Molecular Biology 718
Replace Yi Wu with:
Yi Wu China
Peng Ji United States
Theodosia A. Kalfa United States
Tsukasa Ohmori Japan
Joseph E. Aslan United States
David A. Sweetser United States
Ruben Bierings Netherlands
Françoise Porteu France
Kimberly J. Payne United States
Lisa F. Lincz Australia
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Citations per field
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Yi Wu · 1×
Citations per year

Countries citing papers authored by Michaël Dussiot

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Dussiot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20237
4 20235
5 20232
6 20222
7 202210
8 202011
9 202033
10 201926
11 201924
12 201835
13 201871
14 201831
15 201810
16 20167
17 201387
18 201112
19 201028
20 2006216

About Michaël Dussiot

Michaël Dussiot is a scholar working on Hematology, Genetics, Physiology, Biochemistry and Immunology, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (24 papers), Hemoglobinopathies and Related Disorders (13 papers), Blood groups and transfusion (8 papers), Blood properties and coagulation (6 papers), Iron Metabolism and Disorders (6 papers), Blood transfusion and management (5 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Genetics (369 citations), Hematology (373 citations), Immunology (542 citations), Physiology (485 citations) and Molecular Biology (718 citations). Michaël Dussiot has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Olivier Hermine, Antonino Nicoletti, Jamila Khallou‐Laschet, Ivan Cruz Moura, Giuseppina Caligiuri, Giulia Fornasa, Marc Clément, Anh‐Thu Gaston, Aditi Varthaman and Olivier Levillain. Their work appears in journals such as Blood, PLoS ONE, Haematologica, Transfusion and Nature Communications.

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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