Philip J. Keeling
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 10%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- William J. McKennaAlida L.P. CaforioG. F. BottazzoStefano SchiaffinoMaddalena GrazziniJessica M. MannChristopher D. ByrnePedro T. Trindade
- Topics
- Cardiomyopathy and Myosin Studies (10 papers)Viral Infections and Immunology Research (8 papers)Cardiac electrophysiology and arrhythmias (6 papers)
- Partner nations
- United KingdomItalyIreland
In The Last Decade
Philip J. Keeling
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Cardiology and Cardiovascular Medicine 926
- Physiology 275
- Molecular Biology 180
- Pathology and Forensic Medicine 159
- Radiology, Nuclear Medicine and Imaging 125
Countries citing papers authored by Philip J. Keeling
This map shows the geographic impact of Philip J. Keeling'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 Philip J. Keeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip J. Keeling more than expected).
Fields of papers citing papers by Philip J. Keeling
This network shows the impact of papers produced by Philip J. Keeling. 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 Philip J. Keeling. The network helps show where Philip J. Keeling may publish in the future.
Co-authorship network of co-authors of Philip J. Keeling
This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Keeling. A scholar is included among the top collaborators of Philip J. Keeling 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 Philip J. Keeling. Philip J. Keeling 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 | 6 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 54 | |
| 6 | 2 | |
| 7 | 39 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 25 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 45 | |
| 15 | 24 | |
| 16 | 23 | |
| 17 | 115 | |
| 18 | 48 | |
| 19 | 240 | |
| 20 | 6 |
About Philip J. Keeling
Philip J. Keeling is a scholar working on Cardiology and Cardiovascular Medicine, Gastroenterology and Internal Medicine, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (10 papers), Viral Infections and Immunology Research (8 papers) and Cardiac electrophysiology and arrhythmias (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (926 citations), Physiology (275 citations) and Pathology and Forensic Medicine (159 citations). Philip J. Keeling has collaborated with scholars based in United Kingdom, Italy and Ireland. Frequent co-authors include William J. McKenna, Alida L.P. Caforio, G. F. Bottazzo, Stefano Schiaffino, Maddalena Grazzini, Jessica M. Mann, Christopher D. Byrne, Pedro T. Trindade, Neil P. Lewis and Philip S. Tsao. Their work appears in journals such as The Lancet, 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.