Matthias Pauschinger
- Cardiology and Cardiovascular Medicine top 0.1%
- Surgery top 2%
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Epidemiology top 2%
- Co-authors
- Heinz‐Peter SchultheißWolfgang PollerUwe KühlMichel NoutsiasCarsten TschöpeHeinz‐Peter SchultheissBettina SeebergDirk Westermann
- Topics
- Viral Infections and Immunology Research (51 papers)Cardiomyopathy and Myosin Studies (21 papers)Cardiac Fibrosis and Remodeling (20 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingInfectious Diseases
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Matthias Pauschinger
122 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cardiology and Cardiovascular Medicine 7.6k
- Surgery 1.8k
- Molecular Biology 1.6k
- Radiology, Nuclear Medicine and Imaging 1.5k
- Epidemiology 1.4k
Countries citing papers authored by Matthias Pauschinger
This map shows the geographic impact of Matthias Pauschinger'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 Pauschinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Pauschinger more than expected).
Fields of papers citing papers by Matthias Pauschinger
This network shows the impact of papers produced by Matthias Pauschinger. 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 Pauschinger. The network helps show where Matthias Pauschinger may publish in the future.
Co-authorship network of co-authors of Matthias Pauschinger
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Pauschinger. A scholar is included among the top collaborators of Matthias Pauschinger 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 Pauschinger. Matthias Pauschinger 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 | 3 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 43 | |
| 9 | 4 | |
| 10 | Sutureless versus Transfemoral Transcatheter Aortic Valve Implant: A Propensity Score Matching Study. | 7 |
| 11 | 12 | |
| 12 | 89 | |
| 13 | 55 | |
| 14 | 347 | |
| 15 | 102 | |
| 16 | 12 | |
| 17 | 452 | |
| 18 | 66 | |
| 19 | 57 | |
| 20 | 326 |
About Matthias Pauschinger
Matthias Pauschinger is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Rheumatology, having authored 130 papers that have together received 9.8k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (51 papers), Cardiomyopathy and Myosin Studies (21 papers) and Cardiac Fibrosis and Remodeling (20 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (7.6k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Infectious Diseases (882 citations). Matthias Pauschinger has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Heinz‐Peter Schultheiß, Wolfgang Poller, Uwe Kühl, Michel Noutsias, Carsten Tschöpe, Heinz‐Peter Schultheiss, Bettina Seeberg, Dirk Westermann, Peter Schwimmbeck and Dirk Laßner. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Oncology.
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.