Matthias Hasun
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Surgery
- Physiology
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Thomas F. LüscherArnold von EckardsteinRemo D. SpeschaGiovanni G. CamiciWillibald MaierChristophe WyssFabian FranzeckBruno K. Podesser
- Topics
- Cardiomyopathy and Myosin Studies (4 papers)Cardiac Fibrosis and Remodeling (3 papers)Cardiac Imaging and Diagnostics (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE
- Partner nations
- AustriaSwitzerlandGermany
In The Last Decade
Matthias Hasun
17 papers receiving 276 citations
Peers
Comparison fields: 5 of 72
- Cardiology and Cardiovascular Medicine 69
- Molecular Biology 67
- Surgery 49
- Physiology 49
- Statistics, Probability and Uncertainty 43
Countries citing papers authored by Matthias Hasun
This map shows the geographic impact of Matthias Hasun'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 Matthias Hasun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Hasun more than expected).
Fields of papers citing papers by Matthias Hasun
This network shows the impact of papers produced by Matthias Hasun. 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 Matthias Hasun. The network helps show where Matthias Hasun may publish in the future.
Co-authorship network of co-authors of Matthias Hasun
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Hasun. A scholar is included among the top collaborators of Matthias Hasun 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 Matthias Hasun. Matthias Hasun 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 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 61 | |
| 12 | New HTK-N46B cardioplegia provides superior protection during ischemia/reperfusion in failing hearts. | 7 |
| 13 | 56 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 57 | |
| 17 | 42 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 9 |
About Matthias Hasun
Matthias Hasun is a scholar working on Cardiology and Cardiovascular Medicine, Statistics, Probability and Uncertainty and Developmental Neuroscience, having authored 21 papers that have together received 284 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (4 papers), Cardiac Fibrosis and Remodeling (3 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Geriatrics and Gerontology (36 citations), Statistics, Probability and Uncertainty (43 citations) and Aging (8 citations). Matthias Hasun has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Thomas F. Lüscher, Arnold von Eckardstein, Remo D. Spescha, Giovanni G. Camici, Willibald Maier, Christophe Wyss, Fabian Franzeck, Bruno K. Podesser, Daniëlle Hof and Alexander Akhmedov. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.
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.