Thomas M. Donnelly
- Immunology top 1%
- Cellular and Molecular Neuroscience top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Surgery top 10%
- Co-authors
- Christine N. MetzRichard BucalaMichael BacherThierry CalandraJürgen BernhagenAnthony CeramiLori SpiegelJason Chesney
- Topics
- Veterinary Oncology Research (8 papers)Veterinary Equine Medical Research (6 papers)Macrophage Migration Inhibitory Factor (6 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Thomas M. Donnelly
88 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology 2.3k
- Cellular and Molecular Neuroscience 707
- Endocrinology, Diabetes and Metabolism 614
- Molecular Biology 575
- Surgery 452
Countries citing papers authored by Thomas M. Donnelly
This map shows the geographic impact of Thomas M. Donnelly'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 Thomas M. Donnelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas M. Donnelly more than expected).
Fields of papers citing papers by Thomas M. Donnelly
This network shows the impact of papers produced by Thomas M. Donnelly. 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 Thomas M. Donnelly. The network helps show where Thomas M. Donnelly may publish in the future.
Co-authorship network of co-authors of Thomas M. Donnelly
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Donnelly. A scholar is included among the top collaborators of Thomas M. Donnelly 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 Thomas M. Donnelly. Thomas M. Donnelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 19 | |
| 9 | 9 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 22 | |
| 13 | 35 | |
| 14 | 56 | |
| 15 | MIF as a glucocorticoid-induced modulator of cytokine productionbreakdown → | 969 |
| 16 | 9 | |
| 17 | 21 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | 88 |
About Thomas M. Donnelly
Thomas M. Donnelly is a scholar working on Equine, Small Animals and Animal Science and Zoology, having authored 96 papers that have together received 4.4k indexed citations. Recurring topics across this work include Veterinary Oncology Research (8 papers), Veterinary Equine Medical Research (6 papers) and Macrophage Migration Inhibitory Factor (6 papers). The work is most often cited by research in Immunology (2.3k citations), Clinical Biochemistry (332 citations) and Cellular and Molecular Neuroscience (707 citations). Thomas M. Donnelly has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Christine N. Metz, Richard Bucala, Michael Bacher, Thierry Calandra, Jürgen Bernhagen, Anthony Cerami, Lori Spiegel, Jason Chesney, Diethard Gemsa and Daniel M. Levine. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.