Matthias Pfisterer
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- Acute Myocardial Infarction Research 50
- Cardiovascular Function and Risk Factors 42
- Heart Failure Treatment and Management 34
- Cardiac pacing and defibrillation studies 33
- Cardiac electrophysiology and arrhythmias 26
- Antiplatelet Therapy and Cardiovascular Diseases 24
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- Cardiac Imaging and Diagnostics 80
- Surgery top 0.5%
- Coronary Interventions and Diagnostics 67
- Emergency Medicine top 1%
- Health Information Management top 0.5%
- Co-authors
- Peter BuserHans‐Peter Brunner‐La RoccaChristoph KaiserRaban JegerPeter RickenbacherStefan OsswaldChristian MuellerF Burkart
- Partner nations
- SwitzerlandUnited StatesNetherlands
In The Last Decade
Matthias Pfisterer
227 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Cardiology and Cardiovascular Medicine 8.1k
- Radiology, Nuclear Medicine and Imaging 2.7k
- Surgery 4.7k
- Emergency Medicine 606
- Health Information Management 211
Countries citing papers authored by Matthias Pfisterer
This map shows the geographic impact of Matthias Pfisterer'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 Pfisterer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Pfisterer more than expected).
Fields of papers citing papers by Matthias Pfisterer
This network shows the impact of papers produced by Matthias Pfisterer. 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 Pfisterer. The network helps show where Matthias Pfisterer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Pfisterer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 10 | |
| 2 | 2017 | 6 | |
| 3 | 2015 | 67 | |
| 4 | 2015 | 183 | |
| 5 | 2014 | 18 | |
| 6 | 2013 | 57 | |
| 7 | 2013 | 14 | |
| 8 | 2013 | 56 | |
| 9 | 2013 | 6 | |
| 10 | 2013 | 39 | |
| 11 | 2012 | 26 | |
| 12 | 2012 | 32 | |
| 13 | 2006 | 40 | |
| 14 | 2005 | 5 | |
| 15 | 2003 | 59 | |
| 16 | 2003 | 10 | |
| 17 | 2003 | 78 | |
| 18 | 1999 | 132 | |
| 19 | Algorithm to predict triple-vessel/left main coronary artery disease in patients without myocardial infarction. An international cross validation. | 1991 | 6 |
| 20 | 1985 | 45 |
About Matthias Pfisterer
Matthias Pfisterer is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 231 papers that have together received 10.8k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (80 papers), Coronary Interventions and Diagnostics (67 papers), Acute Myocardial Infarction Research (50 papers), Cardiovascular Function and Risk Factors (42 papers), Heart Failure Treatment and Management (34 papers), Cardiac pacing and defibrillation studies (33 papers), Cardiac electrophysiology and arrhythmias (26 papers) and Antiplatelet Therapy and Cardiovascular Diseases (24 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (8.1k citations), Radiology, Nuclear Medicine and Imaging (2.7k citations) and Surgery (4.7k citations). Matthias Pfisterer has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include Peter Buser, Hans‐Peter Brunner‐La Rocca, Christoph Kaiser, Raban Jeger, Peter Rickenbacher, Stefan Osswald, Christian Mueller, F Burkart, Patrick Hunziker and Paul Erné. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.