Rafael Bejar
- Hematology top 0.1%
- Acute Myeloid Leukemia Research 69
- Chronic Myeloid Leukemia Treatments 8
- Genetics top 0.2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 24
- Chronic Lymphocytic Leukemia Research 9
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 19
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 10
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- Lymphoma Diagnosis and Treatment 12
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- Acute Lymphoblastic Leukemia research 11
- Co-authors
- Benjamin L. EbertDavid P. SteensmaR. Coleman LindsleyRoss L. LevineMikkael A. SekeresRobert P. HasserjianSiddhartha JaiswalDonna Neuberg
- Cited by
- HematologyGeneticsCancer Research
- Journals
- Blood (28 papers)Leukemia Research (4 papers)American Society of Clinical Oncology Educational Book (4 papers)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Rafael Bejar
85 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Hematology 4.2k
- Genetics 2.0k
- Cancer Research 1.1k
- Molecular Biology 2.3k
- Pathology and Forensic Medicine 519
Countries citing papers authored by Rafael Bejar
This map shows the geographic impact of Rafael Bejar'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 Rafael Bejar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Bejar more than expected).
Fields of papers citing papers by Rafael Bejar
This network shows the impact of papers produced by Rafael Bejar. 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 Rafael Bejar. The network helps show where Rafael Bejar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rafael Bejar, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 4 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 31 | |
| 11 | 2019 | 136 | |
| 12 | 2019 | 12 | |
| 13 | 2019 | 10 | |
| 14 | 2018 | 3 | |
| 15 | 2016 | 35 | |
| 16 | 2016 | 42 | |
| 17 | 2012 | 312 | |
| 18 | 2010 | 19 | |
| 19 | 1986 | 24 | |
| 20 | 1970 | 13 |
About Rafael Bejar
Rafael Bejar is a scholar working on Hematology, Genetics and Cancer Research, having authored 94 papers that have together received 5.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (69 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (24 papers), Cancer Genomics and Diagnostics (19 papers), Lymphoma Diagnosis and Treatment (12 papers), Acute Lymphoblastic Leukemia research (11 papers), Epigenetics and DNA Methylation (10 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Chronic Myeloid Leukemia Treatments (8 papers). The work is most often cited by research in Hematology (4.2k citations), Genetics (2.0k citations) and Cancer Research (1.1k citations). Rafael Bejar has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Benjamin L. Ebert, David P. Steensma, R. Coleman Lindsley, Ross L. Levine, Mikkael A. Sekeres, Robert P. Hasserjian, Siddhartha Jaiswal, Donna Neuberg, Kristen E. Stevenson and Guillermo Garcia‐Manero. Their work appears in journals such as Blood, Leukemia Research, American Society of Clinical Oncology Educational Book, Best Practice & Research Clinical Haematology and Journal of Clinical Oncology.
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.