Mark R. Hazebroek

40 papers receiving 1.3k citations

Peers

Mark R. Hazebroek
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 980
  • Molecular Biology 380
  • Surgery 191
  • Cancer Research 133
  • Pulmonary and Respiratory Medicine 108
Replace Ludwig T. Weckbach with:
Ludwig T. Weckbach Germany
Jacco C. Karper Netherlands
Alexandra Buehler Germany
Shuchong Pan United States
Xiaoxiao Guo China
Imran Ahmad Canada
Keiko Ohta‐Ogo Japan
Gentian Lluri United States
I Steiner Czechia
Bonnie Mitchell United States
Mark R. Hazebroek relative to Ludwig T. Weckbach Germany Ludwig T. Weckbach's profile →
Citations per field
00.5×2.7×
Ludwig T. Weckbach · 1×
Citations per year

Countries citing papers authored by Mark R. Hazebroek

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Mark R. Hazebroek

This figure shows the co-authorship network connecting the top 25 collaborators of Mark R. Hazebroek. A scholar is included among the top collaborators of Mark R. Hazebroek 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 Mark R. Hazebroek. Mark R. Hazebroek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 0
4 4
5 5
6 3
7 52
8 13
9 40
10 3
11 6
12 69
13 16
14 12
15 39
16
Prognostic relevance of gene-environment interactions in dilated cardiomyopathy patients: applying the MOGES classification
0
17 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
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19 14
20 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) and Viral Infections and Immunology Research (13 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. Their work appears in journals such as Journal of the American College of Cardiology, Circulation Research and European Heart Journal.

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.

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