Mark R. Hazebroek
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- Cardiomyopathy and Myosin Studies 21
- Cardiovascular Function and Risk Factors 14
- Viral Infections and Immunology Research 13
- Cardiovascular Effects of Exercise 10
- Cardiac electrophysiology and arrhythmias 4
- Cardiac pacing and defibrillation studies 3
- Rheumatology top 10%
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- Cardiac Structural Anomalies and Repair 9
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- Cardiac Imaging and Diagnostics 6
Mark R. Hazebroek
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 82
- Cardiology and Cardiovascular Medicine 980
- Cancer Research 133
- Rheumatology 105
- Molecular Biology 380
- Infectious Diseases 99
Countries citing papers authored by Mark R. Hazebroek
This map shows the geographic impact of Mark R. Hazebroek'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 Mark R. Hazebroek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark R. Hazebroek more than expected).
Fields of papers citing papers by Mark R. Hazebroek
This network shows the impact of papers produced by Mark R. Hazebroek. 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 Mark R. Hazebroek. The network helps show where Mark R. Hazebroek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark R. Hazebroek, 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 52 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 40 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 69 | |
| 13 | 2020 | 16 | |
| 14 | 2019 | 12 | |
| 15 | 2019 | 39 | |
| 16 | Prognostic relevance of gene-environment interactions in dilated cardiomyopathy patients: applying the MOGES classification | 2015 | 0 |
| 17 | 2015 | 66 | |
| 18 | High blood pressure, low ejection fraction and shorter symptom duration are the main predictors of improved left ventricular reversed remodelling in patients with idiopathic dilated cardiomyopathy | 2014 | 1 |
| 19 | 2014 | 14 | |
| 20 | 2013 | 76 |
About Mark R. Hazebroek
Mark R. Hazebroek is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Complementary and alternative medicine, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (21 papers), Cardiovascular Function and Risk Factors (14 papers), Viral Infections and Immunology Research (13 papers), Cardiovascular Effects of Exercise (10 papers), Cardiac Structural Anomalies and Repair (9 papers), Cardiac Imaging and Diagnostics (6 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Cardiac pacing and defibrillation studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (980 citations), Cancer Research (133 citations) and Rheumatology (105 citations). Mark R. Hazebroek has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Stéphane Heymans, Job A.J. Verdonschot, Jort J. Merken, Hans‐Peter Brunner‐La Rocca, Robert Dennert, Ingrid P.C. Krapels, Arthur van den Wijngaard, Han G. Brunner, Michiel T.H.M. Henkens and Ping Wang.
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.