Didier Blaise
Impact in
- Hematology top 0.01%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 0.5%
Papers in
- Hematology 525
- Hematopoietic Stem Cell Transplantation 450
- Acute Myeloid Leukemia Research 234
- Chronic Myeloid Leukemia Treatments 62
- Oncology 178
- Polyomavirus and related diseases 47
- Co-authors
- Mohamad Mohty (251 shared papers)Christian Chabannon (121 shared papers)D Maraninchi (101 shared papers)Myriam Labopin (188 shared papers)Catherine Faucher (115 shared papers)Jan J. Cornelissen (69 shared papers)Michel Attal (51 shared papers)Nöel Milpied (89 shared papers)
In The Last Decade
Didier Blaise
633 papers receiving 16.9k citations
Didier Blaise's Hit Papers
Peers
Comparison fields: 5 of 139
- Hematology 11.9k
- Transplantation 749
- Immunology 4.7k
- Genetics 1.9k
- Oncology 4.4k
Countries citing papers authored by Didier Blaise
This map shows the geographic impact of Didier Blaise'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 Blaise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Blaise more than expected).
Fields of papers citing papers by Didier Blaise
This network shows the impact of papers produced by Didier Blaise. 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 Blaise. The network helps show where Didier Blaise may publish in the future.
Co-authors
The 25 scholars most cited alongside Didier Blaise, 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 667 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Defining the Intensity of Conditioning Regimens: Working Definitions Hit paper breakdown → | 2009 | 1127 |
| 2 | Targeting natural killer cells and natural killer T cells in cancer Hit paper breakdown → | 2012 | 667 |
| 3 | 2005 | 361 | |
| 4 | 2000 | 294 | |
| 5 | 2003 | 242 | |
| 6 | 1987 | 242 | |
| 7 | 2015 | 234 | |
| 8 | 2008 | 213 | |
| 9 | 2001 | 205 | |
| 10 | 1992 | 188 | |
| 11 | 1994 | 163 | |
| 12 | 1992 | 157 | |
| 13 | 2003 | 156 | |
| 14 | 2002 | 152 | |
| 15 | 2012 | 138 | |
| 16 | 1997 | 138 | |
| 17 | 1999 | 126 | |
| 18 | 1995 | 125 | |
| 19 | 2014 | 121 | |
| 20 | 2018 | 114 |
About Didier Blaise
Didier Blaise is a scholar working on Hematology, Oncology, Public Health, Environmental and Occupational Health, Immunology and Pathology and Forensic Medicine, having authored 667 papers that have together received 17.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (450 papers), Acute Myeloid Leukemia Research (234 papers), Acute Lymphoblastic Leukemia research (151 papers), Immune Cell Function and Interaction (86 papers), Chronic Myeloid Leukemia Treatments (62 papers), Lymphoma Diagnosis and Treatment (62 papers), T-cell and B-cell Immunology (57 papers) and Polyomavirus and related diseases (47 papers). The work is most often cited by research in Hematology (11.9k citations), Transplantation (749 citations), Immunology (4.7k citations), Genetics (1.9k citations) and Oncology (4.4k citations). Didier Blaise has collaborated with scholars based in France, Italy and Israel. Frequent co-authors include Mohamad Mohty, Christian Chabannon, D Maraninchi, Myriam Labopin, Catherine Faucher, Jan J. Cornelissen, Michel Attal, Nöel Milpied, Norbert Vey and Mauricette Michallet. Their work appears in journals such as Blood, Bone Marrow Transplantation, Biology of Blood and Marrow Transplantation, Haematologica and Leukemia.
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.