Kevin O’Donnell
- Co-authors
- Daniel J. O’ShannessyEdward R. AppelbaumColin H. MacpheeJohn R. WhiteKitty MooresJohn D. MartinJames J. FoleyDean E. McNulty
- Topics
- Amino Acid Enzymes and Metabolism (4 papers)Chemokine receptors and signaling (4 papers)Polyamine Metabolism and Applications (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Immunology
- Partner nations
- United StatesSri LankaSouth Korea
In The Last Decade
Kevin O’Donnell
16 papers receiving 509 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 191
- Oncology 177
- Immunology 168
- Physiology 93
- Immunology and Allergy 74
Countries citing papers authored by Kevin O’Donnell
This map shows the geographic impact of Kevin 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 Kevin 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 Kevin O’Donnell more than expected).
Fields of papers citing papers by Kevin O’Donnell
This network shows the impact of papers produced by Kevin 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 Kevin O’Donnell. The network helps show where Kevin O’Donnell may publish in the future.
Co-authorship network of co-authors of Kevin O’Donnell
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin O’Donnell. A scholar is included among the top collaborators of Kevin O’Donnell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin O’Donnell. Kevin O’Donnell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Processing Internal Hard Drives | 1 |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 23 | |
| 6 | Identification of a truncated form of the CC chemokine CK beta-8 demonstrating greatly enhanced biological activity. | 22 |
| 7 | 22 | |
| 8 | 88 | |
| 9 | 135 | |
| 10 | 48 | |
| 11 | 54 | |
| 12 | 51 | |
| 13 | 32 | |
| 14 | 7 | |
| 15 | Properties of ornithine decarboxylase in human colorectal adenocarcinomas. | 23 |
| 16 | Regulation of ornithine decarboxylase in normal and neoplastic mouse and human epidermis. | 2 |
| 17 | 4 | |
| 18 | 21 |
About Kevin O’Donnell
Kevin O’Donnell is a scholar working on Biochemistry, Clinical Biochemistry and Physiology, having authored 18 papers that have together received 534 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (4 papers), Chemokine receptors and signaling (4 papers) and Polyamine Metabolism and Applications (4 papers). The work is most often cited by research in Immunology and Allergy (74 citations), Immunology (168 citations) and Oncology (177 citations). Kevin O’Donnell has collaborated with scholars based in United States, Sri Lanka and South Korea. Frequent co-authors include Daniel J. O’Shannessy, Edward R. Appelbaum, Colin H. Macphee, John R. White, Kitty Moores, John D. Martin, James J. Foley, Dean E. McNulty, Nabil A. Elshourbagy and Dulcie B. Schmidt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.
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.