Didier Bouscary
- Hematology top 0.2%
- Acute Myeloid Leukemia Research 51
- Multiple Myeloma Research and Treatments 33
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 24
- Myeloproliferative Neoplasms: Diagnosis and Treatment 21
- Oncology top 2%
- Viral-associated cancers and disorders 9
- Molecular Biology top 2%
- PI3K/AKT/mTOR signaling in cancer 22
- Histone Deacetylase Inhibitors Research 9
- Immunology top 2%
-
- Lymphoma Diagnosis and Treatment 19
- Co-authors
- Patrick MayeuxJérôme TamburiniFrançois DreyfusNicolas ChapuisCatherine LacombeLise WillemsValérie BardetSophie Park
- Cited by
- HematologyGeneticsOncology
- Journals
- New England Journal of Medicine (1 paper)Nature Medicine (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Didier Bouscary
153 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Hematology 2.3k
- Genetics 1.1k
- Oncology 1.4k
- Molecular Biology 3.5k
- Immunology 993
Countries citing papers authored by Didier Bouscary
This map shows the geographic impact of Didier Bouscary'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 Didier Bouscary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Bouscary more than expected).
Fields of papers citing papers by Didier Bouscary
This network shows the impact of papers produced by Didier Bouscary. 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 Didier Bouscary. The network helps show where Didier Bouscary may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Didier Bouscary, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 14 | |
| 6 | 2022 | 15 | |
| 7 | 2019 | 1 | |
| 8 | 2018 | 5 | |
| 9 | 2017 | 35 | |
| 10 | 2011 | 31 | |
| 11 | 2011 | 100 | |
| 12 | 2011 | 147 | |
| 13 | 2011 | 4 | |
| 14 | 2010 | 128 | |
| 15 | 2010 | 68 | |
| 16 | 2009 | 113 | |
| 17 | 2009 | 236 | |
| 18 | 2007 | 112 | |
| 19 | Sweet’s syndrome associated with G-CSF treatment | 2000 | 1 |
| 20 | Erreurs de prescription des médicaments cytotoxiques : étude prospective de 5 000 ordonnances | 1998 | 6 |
About Didier Bouscary
Didier Bouscary is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 163 papers that have together received 6.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (51 papers), Multiple Myeloma Research and Treatments (33 papers), Chronic Lymphocytic Leukemia Research (24 papers), PI3K/AKT/mTOR signaling in cancer (22 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (21 papers), Lymphoma Diagnosis and Treatment (19 papers), Histone Deacetylase Inhibitors Research (9 papers) and Viral-associated cancers and disorders (9 papers). The work is most often cited by research in Hematology (2.3k citations), Genetics (1.1k citations) and Oncology (1.4k citations). Didier Bouscary has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Patrick Mayeux, Jérôme Tamburini, François Dreyfus, Nicolas Chapuis, Catherine Lacombe, Lise Willems, Valérie Bardet, Sophie Park, Alexa S. Green and Norbert Ifrah. Their work appears in journals such as New England Journal of Medicine, Nature Medicine and The Journal of Experimental Medicine.
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.