Stephen L. Kopecky
- Cardiology and Cardiovascular Medicine top 0.5%
- Surgery top 2%
- Immunology top 2%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Robert L. FryeJörg J. GoronzyCornelia M. WeyandDavid R. HolmesBernard J. GershGiovanna LiuzzoGuy S. ReederR. Scott Wright
- Topics
- Acute Myocardial Infarction Research (31 papers)Lipoproteins and Cardiovascular Health (25 papers)Cardiac Imaging and Diagnostics (22 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Stephen L. Kopecky
147 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cardiology and Cardiovascular Medicine 4.0k
- Surgery 1.6k
- Immunology 1.4k
- Molecular Biology 917
- Radiology, Nuclear Medicine and Imaging 861
Countries citing papers authored by Stephen L. Kopecky
This map shows the geographic impact of Stephen L. Kopecky'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 Stephen L. Kopecky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen L. Kopecky more than expected).
Fields of papers citing papers by Stephen L. Kopecky
This network shows the impact of papers produced by Stephen L. Kopecky. 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 Stephen L. Kopecky. The network helps show where Stephen L. Kopecky may publish in the future.
Co-authorship network of co-authors of Stephen L. Kopecky
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen L. Kopecky. A scholar is included among the top collaborators of Stephen L. Kopecky 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 Stephen L. Kopecky. Stephen L. Kopecky 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 | 2 | |
| 3 | 8 | |
| 4 | 17 | |
| 5 | 6 | |
| 6 | 15 | |
| 7 | 27 | |
| 8 | 12 | |
| 9 | 35 | |
| 10 | 1 | |
| 11 | 67 | |
| 12 | 20 | |
| 13 | 81 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 18 | |
| 17 | Length of stay in myocardial infarction. | 7 |
| 18 | 52 | |
| 19 | 2 | |
| 20 | 378 |
About Stephen L. Kopecky
Stephen L. Kopecky is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Complementary and alternative medicine, having authored 149 papers that have together received 7.8k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (31 papers), Lipoproteins and Cardiovascular Health (25 papers) and Cardiac Imaging and Diagnostics (22 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.0k citations), Immunology (1.4k citations) and Internal Medicine (222 citations). Stephen L. Kopecky has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Robert L. Frye, Jörg J. Goronzy, Cornelia M. Weyand, David R. Holmes, Bernard J. Gersh, Giovanna Liuzzo, Guy S. Reeder, R. Scott Wright, Michael D. McGoon and Duane M. Ilstrup. Their work appears in journals such as New England Journal of Medicine, Circulation and The Journal of Experimental 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.