Attila Fehér
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery top 10%
- Co-authors
- Zsolt BagiAlbert J. SinusasAnna CsiszárZoltán UngváriWilliam E. SonntagRafael de CaboFabio A. RecchiaKevin J. Pearson
- Topics
- Cardiac Imaging and Diagnostics (23 papers)Cardiovascular Disease and Adiposity (12 papers)Cardiovascular Function and Risk Factors (11 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Attila Fehér
67 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 105
- Cardiology and Cardiovascular Medicine 648
- Physiology 421
- Molecular Biology 395
- Radiology, Nuclear Medicine and Imaging 368
- Surgery 320
Countries citing papers authored by Attila Fehér
This map shows the geographic impact of Attila Fehér'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 Attila Fehér with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Attila Fehér more than expected).
Fields of papers citing papers by Attila Fehér
This network shows the impact of papers produced by Attila Fehér. 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 Attila Fehér. The network helps show where Attila Fehér may publish in the future.
Co-authorship network of co-authors of Attila Fehér
This figure shows the co-authorship network connecting the top 25 collaborators of Attila Fehér. A scholar is included among the top collaborators of Attila Fehér 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 Attila Fehér. Attila Fehér is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 18 | |
| 13 | 4 | |
| 14 | 30 | |
| 15 | 5 | |
| 16 | 43 | |
| 17 | 10 | |
| 18 | 15 | |
| 19 | 37 | |
| 20 | 58 |
About Attila Fehér
Attila Fehér is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Transplantation, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (23 papers), Cardiovascular Disease and Adiposity (12 papers) and Cardiovascular Function and Risk Factors (11 papers). The work is most often cited by research in Geriatrics and Gerontology (137 citations), Cardiology and Cardiovascular Medicine (648 citations) and Physiology (421 citations). Attila Fehér has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Zsolt Bagi, Albert J. Sinusas, Anna Csiszár, Zoltán Ungvári, William E. Sonntag, Rafael de Cabo, Fabio A. Recchia, Kevin J. Pearson, James Cassuto and Zuzana Brosková. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología 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.