Martin Geyer
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Epidemiology
- Developmental Neuroscience top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Thomas MünzelRalph Stephan von BardelebenLudwig AignerUlrich BogdahnRobert AignerBeate WinnerH. Georg KuhnJürgen Winkler
- Topics
- Cardiac Valve Diseases and Treatments (31 papers)Infective Endocarditis Diagnosis and Management (20 papers)Cardiac Imaging and Diagnostics (9 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Martin Geyer
70 papers receiving 810 citations
Peers
Comparison fields: 5 of 101
- Cardiology and Cardiovascular Medicine 364
- Surgery 234
- Epidemiology 215
- Developmental Neuroscience 128
- Cellular and Molecular Neuroscience 120
Countries citing papers authored by Martin Geyer
This map shows the geographic impact of Martin Geyer'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 Martin Geyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Geyer more than expected).
Fields of papers citing papers by Martin Geyer
This network shows the impact of papers produced by Martin Geyer. 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 Martin Geyer. The network helps show where Martin Geyer may publish in the future.
Co-authorship network of co-authors of Martin Geyer
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Geyer. A scholar is included among the top collaborators of Martin Geyer 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 Martin Geyer. Martin Geyer 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | Auf der Suche nach der Gegenwart | 1 |
| 16 | 19 | |
| 17 | 22 | |
| 18 | 1974-1982 : Bundesrepublik Deutschland : neue Herausforderungen, wachsende Unsicherheiten | 1 |
| 19 | 45 | |
| 20 | 4 |
About Martin Geyer
Martin Geyer is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 83 papers that have together received 838 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (31 papers), Infective Endocarditis Diagnosis and Management (20 papers) and Cardiac Imaging and Diagnostics (9 papers). The work is most often cited by research in Developmental Neuroscience (128 citations), Cardiology and Cardiovascular Medicine (364 citations) and Internal Medicine (27 citations). Martin Geyer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Thomas Münzel, Ralph Stephan von Bardeleben, Ludwig Aigner, Ulrich Bogdahn, Robert Aigner, Beate Winner, H. Georg Kuhn, Jürgen Winkler, Sébastien Couillard‐Després and Felix Kreidel. Their work appears in journals such as Scientific Reports, European Heart Journal and Cardiovascular Research.
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.