Peter Gaudron
- Cardiology and Cardiovascular Medicine top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery top 10%
- Molecular Biology
- Physiology
- Co-authors
- Georg ErtlChristoph EillesIngrid KuglerKai HuStefan NeubauerK. KochsiekDaniela FraccarolloRong Tian
- Topics
- Cardiovascular Function and Risk Factors (20 papers)Cardiac Imaging and Diagnostics (15 papers)Cardiac electrophysiology and arrhythmias (13 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingComplementary and alternative medicine
- Partner nations
- GermanyHungaryUnited States
In The Last Decade
Peter Gaudron
44 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Cardiology and Cardiovascular Medicine 1.4k
- Radiology, Nuclear Medicine and Imaging 470
- Surgery 384
- Molecular Biology 265
- Physiology 178
Countries citing papers authored by Peter Gaudron
This map shows the geographic impact of Peter Gaudron'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 Peter Gaudron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Gaudron more than expected).
Fields of papers citing papers by Peter Gaudron
This network shows the impact of papers produced by Peter Gaudron. 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 Peter Gaudron. The network helps show where Peter Gaudron may publish in the future.
Co-authorship network of co-authors of Peter Gaudron
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Gaudron. A scholar is included among the top collaborators of Peter Gaudron 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 Peter Gaudron. Peter Gaudron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Predictive value of systolic and diastolic strain rate for survival in cardiac amyloidosis patients with preserved ejection fraction | 1 |
| 2 | 1 | |
| 3 | 144 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | 65 | |
| 9 | 38 | |
| 10 | 1 | |
| 11 | 41 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 22 | |
| 15 | Prevention by angiotensin converting enzyme inhibitors | 1 |
| 16 | 50 | |
| 17 | 3 | |
| 18 | Potentials of ACE-inhibitor therapy in acute myocardial ischemia | 1 |
| 19 | 4 | |
| 20 | 22 |
About Peter Gaudron
Peter Gaudron is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (20 papers), Cardiac Imaging and Diagnostics (15 papers) and Cardiac electrophysiology and arrhythmias (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Radiology, Nuclear Medicine and Imaging (470 citations) and Complementary and alternative medicine (72 citations). Peter Gaudron has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Georg Ertl, Christoph Eilles, Ingrid Kugler, Kai Hu, Stefan Neubauer, K. Kochsiek, Daniela Fraccarollo, Rong Tian, Paolo Galuppo and Joanne S. Ingwall. Their work appears in journals such as Circulation, Journal of Clinical Investigation 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.