Michael O’Dwyer
Impact in
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 91
- Multiple Myeloma Research and Treatments 43
- Chronic Myeloid Leukemia Treatments 34
- Acute Myeloid Leukemia Research 21
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- Glycosylation and Glycoproteins Research 18
- Co-authors
- Brian Druker (18 shared papers)Alessandro Natoni (30 shared papers)Michael J. Mauro (7 shared papers)Ronan Swords (11 shared papers)Mark E. Gurney (10 shared papers)Afshin Samali (9 shared papers)Lokesh Joshi (6 shared papers)Paul La Rosée (3 shared papers)
- Journals
- Blood (48 papers)Journal of Clinical Oncology (6 papers)Leukemia (5 papers)Cancers (5 papers)Blood Advances (4 papers)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Michael O’Dwyer
155 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 143
- Hematology 1.4k
- Genetics 749
- Immunology 911
- Oncology 898
- Molecular Biology 1.9k
Countries citing papers authored by Michael O’Dwyer
This map shows the geographic impact of Michael O’Dwyer'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 Michael O’Dwyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael O’Dwyer more than expected).
Fields of papers citing papers by Michael O’Dwyer
This network shows the impact of papers produced by Michael O’Dwyer. 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 Michael O’Dwyer. The network helps show where Michael O’Dwyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael O’Dwyer, 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 221 | |
| 2 | 2020 | 210 | |
| 3 | 2015 | 177 | |
| 4 | 2016 | 165 | |
| 5 | 2013 | 129 | |
| 6 | 2016 | 108 | |
| 7 | 2002 | 104 | |
| 8 | 2014 | 103 | |
| 9 | 2019 | 95 | |
| 10 | 2020 | 94 | |
| 11 | 2009 | 90 | |
| 12 | 2015 | 85 | |
| 13 | 2009 | 82 | |
| 14 | 2015 | 80 | |
| 15 | 2002 | 80 | |
| 16 | 2003 | 79 | |
| 17 | 2019 | 78 | |
| 18 | 2002 | 75 | |
| 19 | 2002 | 74 | |
| 20 | 2003 | 73 |
About Michael O’Dwyer
Michael O’Dwyer is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Immunology, having authored 161 papers that have together received 4.4k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (43 papers), Chronic Lymphocytic Leukemia Research (39 papers), Chronic Myeloid Leukemia Treatments (34 papers), Immune Cell Function and Interaction (26 papers), Acute Myeloid Leukemia Research (21 papers), Glycosylation and Glycoproteins Research (18 papers), Eosinophilic Disorders and Syndromes (16 papers) and CAR-T cell therapy research (14 papers). The work is most often cited by research in Hematology (1.4k citations), Genetics (749 citations), Immunology (911 citations), Oncology (898 citations) and Molecular Biology (1.9k citations). Michael O’Dwyer has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Brian Druker, Alessandro Natoni, Michael J. Mauro, Ronan Swords, Mark E. Gurney, Afshin Samali, Lokesh Joshi, Paul La Rosée, Francis J. Giles and Matthew S. Macauley. Their work appears in journals such as Blood, Journal of Clinical Oncology, Leukemia, Cancers and Blood Advances.
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.