Dimitri Breems
- Hematology top 0.5%
- Acute Myeloid Leukemia Research 24
- Hematopoietic Stem Cell Transplantation 16
- Chronic Myeloid Leukemia Treatments 5
- Multiple Myeloma Research and Treatments 4
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 8
- Mesenchymal stem cell research 3
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- Acute Lymphoblastic Leukemia research 7
- Oncology top 10%
- Immunology top 10%
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- Histone Deacetylase Inhibitors Research 5
- Co-authors
- Bob LöwenbergWim L.J. van PuttenGeorgine E. de GreefR. E. PloemacherGert J. OssenkoppeleH. Berna BeverlooS NebenEdo Vellenga
- Journals
- Blood (12 papers)British Journal of Haematology (5 papers)Journal of Clinical Oncology (4 papers)
- Partner nations
- NetherlandsBelgiumSwitzerland
In The Last Decade
Dimitri Breems
44 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Hematology 1.7k
- Genetics 570
- Public Health, Environmental and Occupational Health 497
- Oncology 363
- Immunology 225
Countries citing papers authored by Dimitri Breems
This map shows the geographic impact of Dimitri Breems'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 Dimitri Breems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimitri Breems more than expected).
Fields of papers citing papers by Dimitri Breems
This network shows the impact of papers produced by Dimitri Breems. 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 Dimitri Breems. The network helps show where Dimitri Breems may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dimitri Breems, 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 | 2024 | 3 | |
| 2 | 2022 | 7 | |
| 3 | Molecular characterization of mutant TP53 acute myeloid leukemia and high-risk myelodysplastic syndromebreakdown → | 2022 | 159 |
| 4 | 2022 | 11 | |
| 5 | 2020 | 22 | |
| 6 | 2019 | 119 | |
| 7 | 2018 | 16 | |
| 8 | 2017 | 5 | |
| 9 | 2014 | 22 | |
| 10 | 2013 | 2 | |
| 11 | 2013 | 34 | |
| 12 | 2013 | 7 | |
| 13 | 2007 | 34 | |
| 14 | 2006 | 47 | |
| 15 | 2005 | 18 | |
| 16 | 2004 | 57 | |
| 17 | 2004 | 8 | |
| 18 | 2000 | 13 | |
| 19 | 1996 | 40 | |
| 20 | 1992 | 87 |
About Dimitri Breems
Dimitri Breems is a scholar working on Hematology, Genetics, Oncology, Public Health, Environmental and Occupational Health and Virology, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (24 papers), Hematopoietic Stem Cell Transplantation (16 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Acute Lymphoblastic Leukemia research (7 papers), Chronic Myeloid Leukemia Treatments (5 papers), Histone Deacetylase Inhibitors Research (5 papers), Multiple Myeloma Research and Treatments (4 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (570 citations), Public Health, Environmental and Occupational Health (497 citations), Oncology (363 citations) and Immunology (225 citations). Dimitri Breems has collaborated with scholars based in Netherlands, Belgium and Switzerland. Frequent co-authors include Bob Löwenberg, Wim L.J. van Putten, Georgine E. de Greef, R. E. Ploemacher, Gert J. Ossenkoppele, H. Berna Beverloo, S Neben, Edo Vellenga, Leo F. Verdonck and Clemens Mellink. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, HemaSphere and Human Gene Therapy.
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.