M O’Donnell

490 citations
19 papers · 416 · h-index 5

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Acute Myeloid Leukemia Research 5
    • Chronic Myeloid Leukemia Treatments 4
    • Polyomavirus and related diseases 2
    • Lung Cancer Research Studies 2

M O’Donnell

16 papers receiving 393 citations

Peers

M O’Donnell
Comparison fields: 5 of 43
  • Hematology 276
  • Transplantation 23
  • Public Health, Environmental and Occupational Health 229
  • Genetics 47
  • Oncology 81
Replace K Miyamura with:
K Miyamura Japan
K-S Eom South Korea
Paula del Cerro United States
Sergey N. Bondarenko Russia
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M. G. Kiehl Germany
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Rose Marie Hamladji Algeria
A. James Morton United States
Feng‐Rong Wang China
M O’Donnell relative to K Miyamura Japan K Miyamura's profile →
Citations per field
00.5×1.5×2.0×
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Citations per year

Countries citing papers authored by M O’Donnell

Since Specialization
Citations

This map shows the geographic impact of M O’Donnell'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 M O’Donnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M O’Donnell more than expected).

Fields of papers citing papers by M O’Donnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M O’Donnell. 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 M O’Donnell. The network helps show where M O’Donnell may publish in the future.

Co-authors

The 25 scholars most cited alongside M O’Donnell, 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 M O’Donnell Line = papers co-authored together M O’Donnell links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1991156
2 1995123
3 198786
4 199221
5 199110
6 19954
7
The National Breast Implant Registry.
19943
8 20203
9 20043
10 19871
11 20141
12 20091
13 20081
14 20171
15
Reconstructive surgery after mastectomy.
19941
16 20091
17 20250
18 20250
19 20230

About M O’Donnell

M O’Donnell is a scholar working on Hematology, Oncology, Public Health, Environmental and Occupational Health, Surgery and Genetics, having authored 19 papers that have together received 416 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Acute Myeloid Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Polyomavirus and related diseases (2 papers), Lung Cancer Research Studies (2 papers), Breast Implant and Reconstruction (2 papers) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Hematology (276 citations), Transplantation (23 citations), Public Health, Environmental and Occupational Health (229 citations), Genetics (47 citations) and Oncology (81 citations). M O’Donnell has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include CA Ries, CA Linker, SJ Forman, DS Snyder, GM Schmidt, DE Stepan, EP Smith, Auayporn Nademanee, PM Parker and MP Link. Their work appears in journals such as Blood, International Journal of Environmental Research and Public Health, Archives of Osteoporosis, International Journal of Radiation Oncology*Biology*Physics 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.

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