Kevin J. Beatt
- Surgery top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Patrick W. SerruysFarzin Fath‐OrdoubadiMarcel van den BrandPim J. de FeyterHans E. LuijtenGerrit Anne van EsPhilip HugenholtzJohan H. C. Reiber
- Topics
- Coronary Interventions and Diagnostics (47 papers)Cardiac Imaging and Diagnostics (43 papers)Acute Myocardial Infarction Research (25 papers)
- Partner nations
- NetherlandsUnited KingdomItaly
In The Last Decade
Kevin J. Beatt
65 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Surgery 2.9k
- Cardiology and Cardiovascular Medicine 2.6k
- Radiology, Nuclear Medicine and Imaging 1.7k
- Pulmonary and Respiratory Medicine 707
- Endocrinology, Diabetes and Metabolism 246
Countries citing papers authored by Kevin J. Beatt
This map shows the geographic impact of Kevin J. Beatt'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 J. Beatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin J. Beatt more than expected).
Fields of papers citing papers by Kevin J. Beatt
This network shows the impact of papers produced by Kevin J. Beatt. 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 J. Beatt. The network helps show where Kevin J. Beatt may publish in the future.
Co-authorship network of co-authors of Kevin J. Beatt
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin J. Beatt. A scholar is included among the top collaborators of Kevin J. Beatt 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 J. Beatt. Kevin J. Beatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 285 | |
| 2 | 31 | |
| 3 | Adenoviral fibroblast growth factor-4 gene therapy in patients with stable angina. 12-month results of a double blind randomized multicenter trial | 3 |
| 4 | 406 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 365 | |
| 9 | 97 | |
| 10 | 61 | |
| 11 | 41 | |
| 12 | 18 | |
| 13 | 103 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 115 | |
| 18 | 59 | |
| 19 | 6 | |
| 20 | 5 |
About Kevin J. Beatt
Kevin J. Beatt is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 67 papers that have together received 3.9k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (47 papers), Cardiac Imaging and Diagnostics (43 papers) and Acute Myocardial Infarction Research (25 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.6k citations), Radiology, Nuclear Medicine and Imaging (1.7k citations) and Surgery (2.9k citations). Kevin J. Beatt has collaborated with scholars based in Netherlands, United Kingdom and Italy. Frequent co-authors include Patrick W. Serruys, Farzin Fath‐Ordoubadi, Marcel van den Brand, Pim J. de Feyter, Hans E. Luijten, Gerrit Anne van Es, Philip Hugenholtz, Johan H. C. Reiber, Renè Geuskens and Harald J. ten Katen. 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.