Michael O’Dwyer

10.2k citations
162 papers · 4.3k indexed · h-index 40

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

    • Multiple Myeloma Research and Treatments 46
    • Chronic Myeloid Leukemia Treatments 34
    • Acute Myeloid Leukemia Research 23
    • Chronic Lymphocytic Leukemia Research 40

Michael O’Dwyer

155 papers receiving 4.2k citations

Peers

Michael O’Dwyer
Comparison fields: 5 of 147
  • Hematology 1.5k
  • Genetics 853
  • Immunology 973
  • Oncology 983
  • Rheumatology 439
Replace Taira Maekawa with:
Taira Maekawa Japan
Junji Kato Japan
Rishu Takimoto Japan
Masayoshi Kobune Japan
Tatsuo Abe Japan
Xi Zhang China
Zhixiang Shen China
Surapol Issaragrisil Thailand
Kamran Alimoghaddam Iran
Giovanni Cazzaniga Italy
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Citations per field
00.5×
Taira Maekawa · 1×
Citations per year

Countries citing papers authored by Michael O’Dwyer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael O’Dwyer Line = papers co-authored together Michael O’Dwyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20242
4 20240
5 20242
6 20236
7 20221
8 202222
9 20210
10 20201
11 20197
12 201919
13 201827
14 20173
15 201734
16 2016107
17 20136
18 201137
19 201019
20 200911

About Michael O’Dwyer

Michael O’Dwyer is a scholar working on Hematology, Genetics, Immunology, Oncology and Immunology and Allergy, having authored 162 papers that have together received 4.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (46 papers), Chronic Lymphocytic Leukemia Research (40 papers), Chronic Myeloid Leukemia Treatments (34 papers), Immune Cell Function and Interaction (26 papers), Acute Myeloid Leukemia Research (23 papers), Glycosylation and Glycoproteins Research (18 papers), Eosinophilic Disorders and Syndromes (18 papers) and CAR-T cell therapy research (16 papers). The work is most often cited by research in Hematology (1.5k citations), Genetics (853 citations), Immunology (973 citations), Oncology (983 citations) and Rheumatology (439 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.

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