Csaba Mátyás

2.0k citations
37 papers · 1.5k · h-index 23

Impact in

Papers in

Csaba Mátyás

37 papers receiving 1.4k citations

Peers

Csaba Mátyás
Comparison fields: 5 of 91
  • Hepatology 156
  • Cardiology and Cardiovascular Medicine 382
  • Pathology and Forensic Medicine 179
  • Pharmacology 165
  • Epidemiology 271
Replace Jee‐Young Han with:
Jee‐Young Han South Korea
Xu Teng China
Cuntai Zhang China
Silvia Pinach Italy
Shojiro Sawada Japan
János Pálóczi Hungary
Francesca Seta United States
Marcin Baranowski Poland
Balázs Tamás Németh Hungary
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Citations per field
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Citations per year

Countries citing papers authored by Csaba Mátyás

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Mátyás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Csaba Mátyás, 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 Csaba Mátyás Line = papers co-authored together Csaba Mátyás links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020142
2 2019136
3 202096
4 201677
5 201670
6 201770
7 201667
8 201363
9 201962
10 201560
11 201960
12 201455
13 201847
14 201744
15 201542
16 201537
17 201836
18 201927
19 201526
20 201826

About Csaba Mátyás

Csaba Mátyás is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Pathology and Forensic Medicine and Epidemiology, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (9 papers), Cardiovascular Effects of Exercise (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Alcohol Consumption and Health Effects (5 papers), Cannabis and Cannabinoid Research (4 papers), Liver Disease and Transplantation (4 papers), Cardiomyopathy and Myosin Studies (4 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Hepatology (156 citations), Cardiology and Cardiovascular Medicine (382 citations), Pathology and Forensic Medicine (179 citations), Pharmacology (165 citations) and Epidemiology (271 citations). Csaba Mátyás has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Pál Pacher, Balázs Tamás Németh, György Haskó, Eszter Trojnár, Béla Merkely, Tamás Radovits, Attila Oláh, Bin Gao, Mihály Ruppert and Dalma Kellermayer. Their work appears in journals such as Scientific Reports, American Journal of Physiology-Heart and Circulatory Physiology, JACC Basic to Translational Science, Hepatology and International Journal 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.

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