Luc Douay
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 0.5%
- Mesenchymal stem cell research
Papers in
- Hematology 90
- Hematopoietic Stem Cell Transplantation 67
- Acute Myeloid Leukemia Research 36
- Genetics 34
- Mesenchymal stem cell research 20
- Co-authors
- Marie‐Catherine Giarratana (36 shared papers)Ladan Kobari (21 shared papers)Hélène Lapillonne (15 shared papers)A Najman (33 shared papers)Norbert Claude Gorin (26 shared papers)Laurent Kiger (4 shared papers)Michael C. Marden (3 shared papers)Henri Wajcman (3 shared papers)
- Journals
- Blood (13 papers)British Journal of Haematology (7 papers)Bone Marrow Transplantation (7 papers)Haematologica (5 papers)Experimental Hematology (4 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Luc Douay
139 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 116
- Hematology 1.9k
- Genetics 1.1k
- Physiology 1.1k
- Immunology 612
- Oncology 747
Countries citing papers authored by Luc Douay
This map shows the geographic impact of Luc Douay'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 Luc Douay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Douay more than expected).
Fields of papers citing papers by Luc Douay
This network shows the impact of papers produced by Luc Douay. 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 Luc Douay. The network helps show where Luc Douay may publish in the future.
Co-authors
The 25 scholars most cited alongside Luc Douay, 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 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 441 | |
| 2 | 2011 | 234 | |
| 3 | 2002 | 219 | |
| 4 | 2010 | 180 | |
| 5 | 2016 | 168 | |
| 6 | 2006 | 124 | |
| 7 | 2013 | 121 | |
| 8 | 1986 | 115 | |
| 9 | 1986 | 107 | |
| 10 | 2012 | 92 | |
| 11 | 2002 | 92 | |
| 12 | 2009 | 87 | |
| 13 | 1995 | 87 | |
| 14 | Recovery of CFU-GM from cryopreserved marrow and in vivo evaluation after autologous bone marrow transplantation are predictive of engraftment. | 1986 | 83 |
| 15 | 1996 | 68 | |
| 16 | 2018 | 68 | |
| 17 | 1990 | 67 | |
| 18 | 2013 | 67 | |
| 19 | 1994 | 65 | |
| 20 | 2007 | 60 |
About Luc Douay
Luc Douay is a scholar working on Hematology, Genetics, Physiology, Molecular Biology and Oncology, having authored 143 papers that have together received 4.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (67 papers), Acute Myeloid Leukemia Research (36 papers), Erythrocyte Function and Pathophysiology (30 papers), Mesenchymal stem cell research (20 papers), Acute Lymphoblastic Leukemia research (19 papers), Lymphoma Diagnosis and Treatment (13 papers), Pluripotent Stem Cells Research (12 papers) and Neutropenia and Cancer Infections (10 papers). The work is most often cited by research in Hematology (1.9k citations), Genetics (1.1k citations), Physiology (1.1k citations), Immunology (612 citations) and Oncology (747 citations). Luc Douay has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Marie‐Catherine Giarratana, Ladan Kobari, Hélène Lapillonne, A Najman, Norbert Claude Gorin, Laurent Kiger, Michael C. Marden, Henri Wajcman, David Chalmers and J Stachowiak. Their work appears in journals such as Blood, British Journal of Haematology, Bone Marrow Transplantation, Haematologica and Experimental Hematology.
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.