Csaba Mátyás

2.1k citations
38 papers · 1.7k · h-index 24

Impact in

Papers in

Csaba Mátyás

38 papers receiving 1.6k citations

Peers

Csaba Mátyás
Comparison fields: 5 of 91
  • Hepatology 167
  • Cardiology and Cardiovascular Medicine 450
  • Pathology and Forensic Medicine 199
  • Pharmacology 182
  • Epidemiology 300
Replace Xu Teng with:
Xu Teng China
Balázs Tamás Németh Hungary
János Pálóczi United States
Eileen Holovac United States
Shojiro Sawada Japan
Aly M. Abdelrahman Oman
Jee‐Young Han South Korea
Cheryl Elizabeth Rockwell United States
Hai-Di Li China
Csaba Mátyás relative to Xu Teng China Xu Teng's profile →
Citations per field
00.5×1.5×2×2.3×
Xu Teng · 1×
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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020158
2 2019153
3 2020100
4 201686
5 201681
6 201779
7 201677
8 201671
9 201367
10 201967
11 201565
12 201965
13 201456
14 201848
15 201548
16 201744
17 201542
18 201839
19 201930
20 202228

About Csaba Mátyás

Csaba Mátyás is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Hepatology, Pharmacology and Physiology, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (9 papers), Liver Disease Diagnosis and Treatment (6 papers), Cardiovascular Effects of Exercise (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 (167 citations), Cardiology and Cardiovascular Medicine (450 citations), Pathology and Forensic Medicine (199 citations), Pharmacology (182 citations) and Epidemiology (300 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, Bela Merkely, Tamás Radovits, Attila Oláh, Bin Gao, Mihály Ruppert and Dalma Kellermayer. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Scientific Reports, Investigative Ophthalmology & Visual Science, GeroScience 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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