Csaba Mátyás

2.0k citations
37 papers · 1.4k indexed · h-index 22
Topics
Cardiovascular Function and Risk Factors (13 papers)Cardiovascular Effects of Exercise (8 papers)Liver Disease Diagnosis and Treatment (7 papers)

In The Last Decade

Csaba Mátyás

37 papers receiving 1.4k citations

Peers

Csaba Mátyás
Comparison fields: 5 of 94
  • Cardiology and Cardiovascular Medicine 476
  • Molecular Biology 348
  • Epidemiology 325
  • Surgery 221
  • Pathology and Forensic Medicine 202
Replace Alexander Breitenstein with:
Alexander Breitenstein Switzerland
Xu Teng China
Cuntai Zhang China
Lin Xu China
Gaetano Pannitteri Italy
Jee‐Young Han South Korea
Maren Carstensen Germany
Hai-Di Li China
Csaba Mátyás relative to Alexander Breitenstein Switzerland Alexander Breitenstein's profile →
Citations per field
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Alexander Breitenstein · 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-authorship network of co-authors of Csaba Mátyás

This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Mátyás. A scholar is included among the top collaborators of Csaba Mátyás 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 Csaba Mátyás. Csaba Mátyás 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 21
2 10
3 24
4 3
5 135
6 89
7 9
8 7
9 15
10 24
11 59
12 131
13 27
14 25
15 65
16 17
17 14
18 76
19
Histological evaluation of early diabetic neurodegenertion in Zucker Diabetic Fatty (ZDF) Rats
1
20 54

About Csaba Mátyás

Csaba Mátyás is a scholar working on Cardiology and Cardiovascular Medicine, Hepatology and Pathology and Forensic Medicine, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (13 papers), Cardiovascular Effects of Exercise (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). The work is most often cited by research in Hepatology (176 citations), Cardiology and Cardiovascular Medicine (476 citations) and Pathology and Forensic Medicine (202 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, Dalma Kellermayer and Mihály Ruppert. Their work appears in journals such as Journal of Clinical Investigation, Hepatology and Scientific Reports.

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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