David T. Kelly
- Cardiology and Cardiovascular Medicine top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Surgery top 5%
- Epidemiology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Ben FreedmanPhillip J. HarrisBertram PittD R TaylorGary S. RoubinRichard F. DunnRichard D. RoweDavid Richmond
- Topics
- Cardiac Imaging and Diagnostics (59 papers)Cardiovascular Function and Risk Factors (27 papers)Cardiac electrophysiology and arrhythmias (20 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingComplementary and alternative medicine
- Partner nations
- AustraliaUnited StatesIreland
In The Last Decade
David T. Kelly
131 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 125
- Cardiology and Cardiovascular Medicine 2.5k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Surgery 1.0k
- Epidemiology 528
- Pulmonary and Respiratory Medicine 526
Countries citing papers authored by David T. Kelly
This map shows the geographic impact of David T. Kelly'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 David T. Kelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Kelly more than expected).
Fields of papers citing papers by David T. Kelly
This network shows the impact of papers produced by David T. Kelly. 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 David T. Kelly. The network helps show where David T. Kelly may publish in the future.
Co-authorship network of co-authors of David T. Kelly
This figure shows the co-authorship network connecting the top 25 collaborators of David T. Kelly. A scholar is included among the top collaborators of David T. Kelly 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 David T. Kelly. David T. Kelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 28 | |
| 3 | 21 | |
| 4 | 22 | |
| 5 | 25 | |
| 6 | 24 | |
| 7 | 7 | |
| 8 | 49 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 18 | |
| 12 | 30 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 43 | |
| 16 | 50 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 4 | |
| 20 | 8 |
About David T. Kelly
David T. Kelly is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Complementary and alternative medicine, having authored 140 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (59 papers), Cardiovascular Function and Risk Factors (27 papers) and Cardiac electrophysiology and arrhythmias (20 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.5k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Complementary and alternative medicine (196 citations). David T. Kelly has collaborated with scholars based in Australia, United States and Ireland. Frequent co-authors include Ben Freedman, Phillip J. Harris, Bertram Pitt, D R Taylor, Gary S. Roubin, Richard F. Dunn, Richard D. Rowe, David Richmond, H. William Strausś and Wei Feng Shen. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of the American College of Cardiology.
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.