Didier Bouscary

11.8k citations
163 papers · 6.3k indexed · 1 hit paper · h-index 40
Topics
Acute Myeloid Leukemia Research (51 papers)Multiple Myeloma Research and Treatments (33 papers)Chronic Lymphocytic Leukemia Research (24 papers)

In The Last Decade

Didier Bouscary

153 papers receiving 6.2k citations

Hit Papers

Acute myeloid leukaemia2016202620192022201650100150200250

Peers

Didier Bouscary
Comparison fields: 5 of 123
  • Molecular Biology 3.5k
  • Hematology 2.3k
  • Oncology 1.4k
  • Genetics 1.1k
  • Immunology 993
Replace Jean‐François Rossi with:
Jean‐François Rossi France
Patrick Mayeux France
Nicholas J. Donato United States
Laura G. Corral United States
Itaru Matsumura Japan
Wei Tong United States
Daniela S. Krause United States
Elvira Pelosi Italy
Rishu Takimoto Japan
Justus Duyster Germany
Didier Bouscary relative to Jean‐François Rossi France Jean‐François Rossi's profile →
Citations per field
00.5×
Jean‐François Rossi · 1×
Citations per year

Countries citing papers authored by Didier Bouscary

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Didier Bouscary

This figure shows the co-authorship network connecting the top 25 collaborators of Didier Bouscary. A scholar is included among the top collaborators of Didier Bouscary based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Didier Bouscary. Didier Bouscary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 8
5 14
6 15
7 1
8 5
9 35
10 31
11 100
12 147
13 4
14 128
15 68
16 113
17 236
18 112
19
Sweet’s syndrome associated with G-CSF treatment
1
20
Erreurs de prescription des médicaments cytotoxiques : étude prospective de 5 000 ordonnances
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) and Chronic Lymphocytic Leukemia Research (24 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.

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