Robert P. Hasserjian
- Hematology top 0.02%
- Acute Myeloid Leukemia Research 130
- Chronic Myeloid Leukemia Treatments 45
- Genetics top 0.05%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 95
- Chronic Lymphocytic Leukemia Research 34
- Pathology and Forensic Medicine top 0.2%
- Lymphoma Diagnosis and Treatment 68
- Rheumatology top 0.2%
- Eosinophilic Disorders and Syndromes 23
- Oncology top 0.5%
- Viral-associated cancers and disorders 30
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- Hematological disorders and diagnostics 32
- Co-authors
- Daniel A. ArberAttilio OraziJames W. VardimanMichael J. BorowitzJürgen ThieleMario CazzolaClara D. BloomfieldMichelle M. Le Beau
- Journals
- Nature (2 papers)New England Journal of Medicine (21 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Robert P. Hasserjian
269 papers receiving 15.9k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Hematology 9.3k
- Genetics 6.3k
- Pathology and Forensic Medicine 2.9k
- Rheumatology 1.9k
- Oncology 2.9k
Countries citing papers authored by Robert P. Hasserjian
This map shows the geographic impact of Robert P. Hasserjian'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 Robert P. Hasserjian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert P. Hasserjian more than expected).
Fields of papers citing papers by Robert P. Hasserjian
This network shows the impact of papers produced by Robert P. Hasserjian. 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 Robert P. Hasserjian. The network helps show where Robert P. Hasserjian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert P. Hasserjian, 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 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 23 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 25 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 15 | |
| 15 | 2019 | 25 | |
| 16 | 2019 | 2 | |
| 17 | 2018 | 44 | |
| 18 | 2012 | 89 | |
| 19 | 2011 | 100 | |
| 20 | 2007 | 11 |
About Robert P. Hasserjian
Robert P. Hasserjian is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 285 papers that have together received 16.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (130 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (95 papers), Lymphoma Diagnosis and Treatment (68 papers), Chronic Myeloid Leukemia Treatments (45 papers), Chronic Lymphocytic Leukemia Research (34 papers), Hematological disorders and diagnostics (32 papers), Viral-associated cancers and disorders (30 papers) and Eosinophilic Disorders and Syndromes (23 papers). The work is most often cited by research in Hematology (9.3k citations), Genetics (6.3k citations) and Pathology and Forensic Medicine (2.9k citations). Robert P. Hasserjian has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Daniel A. Arber, Attilio Orazi, James W. Vardiman, Michael J. Borowitz, Jürgen Thiele, Mario Cazzola, Clara D. Bloomfield, Michelle M. Le Beau, David P. Steensma and Benjamin L. Ebert. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of Biological Chemistry.
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.