M O'Donnell

653 citations
12 papers · 539 · h-index 9

Impact in

Papers in

M O'Donnell

12 papers receiving 512 citations

Peers

M O'Donnell
Comparison fields: 5 of 77
  • Transplantation 36
  • Endocrinology, Diabetes and Metabolism 179
  • Behavioral Neuroscience 34
  • Nephrology 45
  • Surgery 242
Replace Barry Z. Izenstein with:
Barry Z. Izenstein United States
Κ. Schöffling Germany
Palle Bratholm Denmark
James L. Frost United States
Piotr Soszyński Poland
Mandy G. Keijzer‐Veen Netherlands
Marga Frontera Spain
Patricia A. Donohoue United States
Mark Ng Tang Fui Australia
Nicola Caretta Italy
M O'Donnell relative to Barry Z. Izenstein United States Barry Z. Izenstein's profile →
Citations per field
00.5×7.2×
Barry Z. Izenstein · 1×
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

12 of 12 papers shown
#Work
1 1980101
2 199289
3 199381
4 199364
5 199447
6 199546
7 199337
8 199235
9 199130
10 19935
11
The effect of change of renal replacement therapy on serum lipoprotein (a) concentration.
19973
12 20161

About M O'Donnell

M O'Donnell is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Nephrology and Transplantation, having authored 12 papers that have together received 539 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Peripheral Artery Disease Management (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Treatment and Management (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Dialysis and Renal Disease Management (2 papers), Health and Lifestyle Studies (1 paper) and Body Composition Measurement Techniques (1 paper). The work is most often cited by research in Transplantation (36 citations), Endocrinology, Diabetes and Metabolism (179 citations), Behavioral Neuroscience (34 citations), Nephrology (45 citations) and Surgery (242 citations). M O'Donnell has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Mary Seed, Klaus A. Miczek, B. O'Connor, D.A. Reaveley, John C. Stevenson, David Crook, Mandeep S. Sidhu, Edwina A. Brown, Brian L. Knight and P. H. Wise. Their work appears in journals such as Nephrology Dialysis Transplantation, Atherosclerosis, Journal of Hypertension, Diabetes and Clinical Science.

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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