Péter Domsik

1.2k citations
94 papers · 847 · h-index 16

Impact in

Papers in

Péter Domsik

92 papers receiving 842 citations

Peers

Péter Domsik
Comparison fields: 5 of 35
  • Cardiology and Cardiovascular Medicine 586
  • Radiology, Nuclear Medicine and Imaging 136
  • Endocrinology, Diabetes and Metabolism 90
  • Rheumatology 50
  • Epidemiology 85
Replace Anita Kalapos with:
Anita Kalapos Hungary
Alberto Foà Italy
Carolina Donà Austria
Ajay Yerramasu United Kingdom
Levent Korkmaz Türkiye
Marcello Ravani Italy
Wunan Zhou United States
Gavin A. Lewis United Kingdom
Bülent Boyacı Türkiye
Musa Şahin Türkiye
Péter Domsik relative to Anita Kalapos Hungary Anita Kalapos's profile →
Citations per field
00.5×1.5×
Anita Kalapos · 1×
Citations per year

Countries citing papers authored by Péter Domsik

Since Specialization
Citations

This map shows the geographic impact of Péter Domsik'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 Péter Domsik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Domsik more than expected).

Fields of papers citing papers by Péter Domsik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Péter Domsik. 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 Péter Domsik. The network helps show where Péter Domsik may publish in the future.

Co-authors

The 25 scholars most cited alongside Péter Domsik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Péter Domsik Line = papers co-authored together Péter Domsik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201292
2 201335
3 201335
4 201433
5 201228
6 201925
7 201525
8 201922
9 201720
10 201920
11 201618
12 201218
13 201317
14 201516
15 201516
16 201815
17 201314
18 201914
19 202013
20 201613

About Péter Domsik

Péter Domsik is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 94 papers that have together received 847 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (50 papers), Cardiomyopathy and Myosin Studies (17 papers), Cardiac Imaging and Diagnostics (11 papers), Cardiovascular Effects of Exercise (9 papers), Cardiac Valve Diseases and Treatments (8 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers), Pituitary Gland Disorders and Treatments (8 papers) and Eosinophilic Disorders and Syndromes (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (586 citations), Radiology, Nuclear Medicine and Imaging (136 citations), Endocrinology, Diabetes and Metabolism (90 citations), Rheumatology (50 citations) and Epidemiology (85 citations). Péter Domsik has collaborated with scholars based in Hungary, Poland and Netherlands. Frequent co-authors include Attila Nemes, Anita Kalapos, Tamás Forster, Árpád Kormányos, Csaba Lengyel, Nóra Ambrus, Andrea Orosz, Zsuzsanna Valkusz, Zita Borbényi and Róbert Sepp. Their work appears in journals such as International Journal of Cardiology, International journal of cardiac imaging, Quantitative Imaging in Medicine and Surgery, Echocardiography and Clinical Physiology and Functional Imaging.

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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