Michaël Dussiot
Impact in
- Genetics top 2%
- Hemoglobinopathies and Related Disorders
- Hematology top 2%
- Iron Metabolism and Disorders
Papers in
- Physiology 22
- Erythrocyte Function and Pathophysiology 21
- Hematology 16
- Blood groups and transfusion 6
- Iron Metabolism and Disorders 5
- Co-authors
- Olivier Hermine (27 shared papers)Antonino Nicoletti (5 shared papers)Jamila Khallou‐Laschet (5 shared papers)Ivan Cruz Moura (10 shared papers)Giulia Fornasa (3 shared papers)Giuseppina Caligiuri (3 shared papers)Anh‐Thu Gaston (3 shared papers)Marc Clément (3 shared papers)
- Journals
- Blood (9 papers)PLoS ONE (5 papers)Haematologica (4 papers)Blood Advances (2 papers)Transfusion (2 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Michaël Dussiot
52 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 104
- Genetics 366
- Hematology 333
- Immunology 480
- Physiology 440
- Molecular Biology 636
Countries citing papers authored by Michaël Dussiot
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
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-authors
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.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 440 | |
| 2 | 2006 | 226 | |
| 3 | 2016 | 172 | |
| 4 | 2013 | 96 | |
| 5 | 2018 | 79 | |
| 6 | 2010 | 65 | |
| 7 | 2017 | 60 | |
| 8 | 2008 | 57 | |
| 9 | 2007 | 50 | |
| 10 | 2020 | 36 | |
| 11 | 2018 | 35 | |
| 12 | 2013 | 32 | |
| 13 | 2021 | 31 | |
| 14 | 2011 | 31 | |
| 15 | 2015 | 31 | |
| 16 | 2018 | 31 | |
| 17 | 2018 | 30 | |
| 18 | 2017 | 29 | |
| 19 | 2010 | 29 | |
| 20 | 2019 | 28 |
About Michaël Dussiot
Michaël Dussiot is a scholar working on Physiology, Hematology, Genetics, Molecular Biology and Immunology, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (21 papers), Hemoglobinopathies and Related Disorders (13 papers), Blood groups and transfusion (6 papers), Blood transfusion and management (6 papers), Blood properties and coagulation (6 papers), Immunotherapy and Immune Responses (5 papers), Iron Metabolism and Disorders (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Genetics (366 citations), Hematology (333 citations), Immunology (480 citations), Physiology (440 citations) and Molecular Biology (636 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, Giulia Fornasa, Giuseppina Caligiuri, Anh‐Thu Gaston, Marc Clément, Aditi Varthaman and Olivier Levillain. Their work appears in journals such as Blood, PLoS ONE, Haematologica, Blood Advances and Transfusion.
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.