Mihály Ruppert
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Tamás RadovitsBéla MerkelyAttila OláhAlex Ali SayourGábor SzabóSevil Korkmaz‐IcözCsaba MátyásBálint András Barta
- Topics
- Cardiovascular Function and Risk Factors (27 papers)Cardiovascular Effects of Exercise (13 papers)Cardiac Ischemia and Reperfusion (11 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismComplementary and alternative medicine
- Partner nations
- HungaryGermanyUnited States
In The Last Decade
Mihály Ruppert
68 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Cardiology and Cardiovascular Medicine 622
- Molecular Biology 360
- Surgery 303
- Endocrinology, Diabetes and Metabolism 239
- Pathology and Forensic Medicine 118
Countries citing papers authored by Mihály Ruppert
This map shows the geographic impact of Mihály Ruppert'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 Mihály Ruppert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihály Ruppert more than expected).
Fields of papers citing papers by Mihály Ruppert
This network shows the impact of papers produced by Mihály Ruppert. 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 Mihály Ruppert. The network helps show where Mihály Ruppert may publish in the future.
Co-authorship network of co-authors of Mihály Ruppert
This figure shows the co-authorship network connecting the top 25 collaborators of Mihály Ruppert. A scholar is included among the top collaborators of Mihály Ruppert 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 Mihály Ruppert. Mihály Ruppert 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 | 1 | |
| 3 | 13 | |
| 4 | 9 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 22 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 107 | |
| 15 | 25 | |
| 16 | 21 | |
| 17 | 17 | |
| 18 | 8 | |
| 19 | 20 | |
| 20 | 54 |
About Mihály Ruppert
Mihály Ruppert is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Pathology and Forensic Medicine, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (27 papers), Cardiovascular Effects of Exercise (13 papers) and Cardiac Ischemia and Reperfusion (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (622 citations), Endocrinology, Diabetes and Metabolism (239 citations) and Complementary and alternative medicine (81 citations). Mihály Ruppert has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Tamás Radovits, Béla Merkely, Attila Oláh, Alex Ali Sayour, Gábor Szabó, Sevil Korkmaz‐Icöz, Csaba Mátyás, Bálint András Barta, Matthias Karck and Balázs Tamás Németh. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.