Jérôme Rey
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 38
- Acute Myeloid Leukemia Research 29
- Hematopoietic Stem Cell Transplantation 13
- Genetics 27
- Myeloproliferative Neoplasms: Diagnosis and Treatment 16
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- Norbert Vey (34 shared papers)Daniel Olive (14 shared papers)Aude Charbonnier (23 shared papers)Julien Mozziconacci (10 shared papers)Daniel Birnbaum (6 shared papers)Anne Murati (7 shared papers)Evelyne D’Incan (16 shared papers)Cyril Fauriat (8 shared papers)
In The Last Decade
Jérôme Rey
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 76
- Hematology 549
- Genetics 483
- Immunology 563
- Oncology 305
- Pathology and Forensic Medicine 168
Countries citing papers authored by Jérôme Rey
This map shows the geographic impact of Jérôme Rey'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 Jérôme Rey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Rey more than expected).
Fields of papers citing papers by Jérôme Rey
This network shows the impact of papers produced by Jérôme Rey. 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 Jérôme Rey. The network helps show where Jérôme Rey may publish in the future.
Co-authors
The 25 scholars most cited alongside Jérôme Rey, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 141 | |
| 2 | 2012 | 114 | |
| 3 | 2018 | 111 | |
| 4 | 2006 | 63 | |
| 5 | 2013 | 57 | |
| 6 | 2017 | 54 | |
| 7 | 2012 | 44 | |
| 8 | 2006 | 41 | |
| 9 | 2012 | 41 | |
| 10 | 2017 | 40 | |
| 11 | 2022 | 39 | |
| 12 | 2013 | 35 | |
| 13 | 2017 | 35 | |
| 14 | 2017 | 34 | |
| 15 | 2009 | 32 | |
| 16 | 2018 | 32 | |
| 17 | 2011 | 31 | |
| 18 | 2005 | 30 | |
| 19 | 2018 | 30 | |
| 20 | 2009 | 30 |
About Jérôme Rey
Jérôme Rey is a scholar working on Hematology, Genetics, Immunology, Oncology and Molecular Biology, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (29 papers), Immune Cell Function and Interaction (17 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (16 papers), Hematopoietic Stem Cell Transplantation (13 papers), Chronic Lymphocytic Leukemia Research (7 papers), T-cell and B-cell Immunology (6 papers), Acute Lymphoblastic Leukemia research (5 papers) and Kruppel-like factors research (4 papers). The work is most often cited by research in Hematology (549 citations), Genetics (483 citations), Immunology (563 citations), Oncology (305 citations) and Pathology and Forensic Medicine (168 citations). Jérôme Rey has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Norbert Vey, Daniel Olive, Aude Charbonnier, Julien Mozziconacci, Daniel Birnbaum, Anne Murati, Evelyne D’Incan, Cyril Fauriat, Régis Costello and Véronique Gelsi‐Boyer. Their work appears in journals such as Blood, Haematologica, Blood Cancer Journal, Biology of Blood and Marrow Transplantation and European Journal Of Haematology.
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.