Hajnalka Vágó
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- Cardiovascular Effects of Exercise 52
- Cardiovascular Function and Risk Factors 38
- Cardiomyopathy and Myosin Studies 28
- Cardiac electrophysiology and arrhythmias 17
- Cardiac Arrhythmias and Treatments 16
- Health Informatics top 10%
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- Cardiovascular and exercise physiology 17
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- Cardiac Imaging and Diagnostics 29
- Advanced MRI Techniques and Applications 14
- Orthopedics and Sports Medicine top 10%
- Co-authors
- Béla MerkelyLiliána SzabóAttila TóthZsófia DohyFerenc Imre SuhaiCsilla CzimbalmosNóra SydóOrsolya Kiss
- Cited by
- Cardiology and Cardiovascular MedicineHealth InformaticsComplementary and alternative medicine
- Journals
- Circulation (2 papers)SHILAP Revista de lepidopterología (1 paper)Journal of the American College of Cardiology (2 papers)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Hajnalka Vágó
112 papers receiving 871 citations
Peers
Comparison fields: 5 of 88
- Cardiology and Cardiovascular Medicine 654
- Health Informatics 20
- Complementary and alternative medicine 87
- Radiology, Nuclear Medicine and Imaging 236
- Orthopedics and Sports Medicine 75
Countries citing papers authored by Hajnalka Vágó
This map shows the geographic impact of Hajnalka Vágó'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 Hajnalka Vágó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hajnalka Vágó more than expected).
Fields of papers citing papers by Hajnalka Vágó
This network shows the impact of papers produced by Hajnalka Vágó. 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 Hajnalka Vágó. The network helps show where Hajnalka Vágó may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hajnalka Vágó, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 16 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 20 | |
| 15 | 2022 | 17 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2021 | 26 | |
| 20 | 2014 | 3 |
About Hajnalka Vágó
Hajnalka Vágó is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Radiology, Nuclear Medicine and Imaging, having authored 131 papers that have together received 884 indexed citations. Recurring topics across this work include Cardiovascular Effects of Exercise (52 papers), Cardiovascular Function and Risk Factors (38 papers), Cardiac Imaging and Diagnostics (29 papers), Cardiomyopathy and Myosin Studies (28 papers), Cardiac electrophysiology and arrhythmias (17 papers), Cardiovascular and exercise physiology (17 papers), Cardiac Arrhythmias and Treatments (16 papers) and Advanced MRI Techniques and Applications (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (654 citations), Health Informatics (20 citations) and Complementary and alternative medicine (87 citations). Hajnalka Vágó has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Béla Merkely, Liliána Szabó, Attila Tóth, Zsófia Dohy, Ferenc Imre Suhai, Csilla Czimbalmos, Nóra Sydó, Orsolya Kiss, Dávid Becker and Ibolya Csécs. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.