T.G. Brady
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
- Oncology top 5%
- Bone health and treatments
- Peptidase Inhibition and Analysis
- Cancer Diagnosis and Treatment
Papers in
-
- Adenosine and Purinergic Signaling 9
-
- Parallel Computing and Optimization Techniques 6
- Co-authors
- Terence WuJohn J. OrloffAndrew F. StewartWilliam J. BurtisWilliam O'ConnellRaymond P. WarrellMaryann MitnickArthur E. Broadus
- Journals
- Nature (2 papers)Endocrinology (1 paper)Archives of Biochemistry and Biophysics (1 paper)Journal of Biological Chemistry (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- IrelandUnited StatesAustralia
In The Last Decade
T.G. Brady
27 papers receiving 842 citations
Peers
Comparison fields: 5 of 90
- Physiology 204
- Oncology 463
- Nephrology 85
- Orthopedics and Sports Medicine 88
- Molecular Biology 508
Countries citing papers authored by T.G. Brady
This map shows the geographic impact of T.G. Brady'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 T.G. Brady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.G. Brady more than expected).
Fields of papers citing papers by T.G. Brady
This network shows the impact of papers produced by T.G. Brady. 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 T.G. Brady. The network helps show where T.G. Brady may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T.G. Brady, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 2 | |
| 2 | 2010 | 0 | |
| 3 | SmartGridRPC: The new RPC model for high performance Grid Computing and Its Implementation in SmartGridSolve | 2009 | 1 |
| 4 | 2008 | 10 | |
| 5 | 2006 | 9 | |
| 6 | 2006 | 8 | |
| 7 | 1990 | 409 | |
| 8 | 1989 | 47 | |
| 9 | 1988 | 29 | |
| 10 | 1974 | 6 | |
| 11 | 1971 | 3 | |
| 12 | 1970 | 19 | |
| 13 | 1969 | 44 | |
| 14 | 1969 | 19 | |
| 15 | 1967 | 23 | |
| 16 | 1966 | 9 | |
| 17 | 1965 | 130 | |
| 18 | 1962 | 91 | |
| 19 | 1961 | 12 | |
| 20 | 1951 | 7 |
About T.G. Brady
T.G. Brady is a scholar working on Physiology, Hardware and Architecture, Information Systems and Management, Computer Networks and Communications and Oncology, having authored 28 papers that have together received 921 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (9 papers), Biochemical and Molecular Research (7 papers), Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (6 papers), Enzyme function and inhibition (4 papers), Bone health and treatments (3 papers), Fibroblast Growth Factor Research (3 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Physiology (204 citations), Oncology (463 citations), Nephrology (85 citations), Orthopedics and Sports Medicine (88 citations) and Molecular Biology (508 citations). T.G. Brady has collaborated with scholars based in Ireland, United States and Australia. Frequent co-authors include Terence Wu, John J. Orloff, Andrew F. Stewart, William J. Burtis, William O'Connell, Raymond P. Warrell, Maryann Mitnick, Arthur E. Broadus, Beatriz R. Olson and Paul Murphy. Their work appears in journals such as Nature, Endocrinology, Archives of Biochemistry and Biophysics, Journal of Biological Chemistry and New England Journal of Medicine.
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.