János Mátyus

876 total citations
39 papers, 650 citations indexed

About

János Mátyus is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Nephrology. According to data from OpenAlex, János Mátyus has authored 39 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 9 papers in Molecular Biology and 9 papers in Nephrology. Recurrent topics in János Mátyus's work include Paraoxonase enzyme and polymorphisms (4 papers), Vasculitis and related conditions (4 papers) and Parathyroid Disorders and Treatments (3 papers). János Mátyus is often cited by papers focused on Paraoxonase enzyme and polymorphisms (4 papers), Vasculitis and related conditions (4 papers) and Parathyroid Disorders and Treatments (3 papers). János Mátyus collaborates with scholars based in Hungary, Poland and Latvia. János Mátyus's co-authors include György Kakuk, György Paragh, Ari M. Simckes, Robert L. Nussbaum, Paul Hueber, Bernd Höppe, Velibor Tasic, Sharon F. Suchy, Steven J. Scheinman and Stephen J. Knohl and has published in prestigious journals such as Blood, Journal of the American Society of Nephrology and The American Journal of Human Genetics.

In The Last Decade

János Mátyus

33 papers receiving 626 citations

Peers

János Mátyus
Comparison fields: 5 of 74
  • Molecular Biology 191
  • Clinical Biochemistry 164
  • Nephrology 120
  • Cardiology and Cardiovascular Medicine 108
  • Cell Biology 94
Replace Ling Wei with:
Ling Wei China
Chao‐Sheng Lo Canada
Panai Song China
I. Mutaf Türkiye
Saori Tsukushi Japan
Hideyuki Horike Japan
Toshimitsu Niwa Japan
Sakurako Nakamura Japan
Zuhal Parıldar Türkiye
Valeria Berruti Italy
Ling Wei China View profile →
Citations per field, relative to János Mátyus
János Mátyus · 1×
Citations per year, relative to János Mátyus
János Mátyus · 1×

Countries citing papers authored by János Mátyus

Since Specialization
Citations

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

Fields of papers citing papers by János Mátyus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of János Mátyus

This figure shows the co-authorship network connecting the top 25 collaborators of János Mátyus. A scholar is included among the top collaborators of János Mátyus 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 János Mátyus. János Mátyus 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
# Work Indexed citations
1 0
2 2
3 0
4 0
5 1
6 7
7 1
8 6
9 1
10 14
11
Recommendation for the treatment of hyperlipidemia in chronic renal disease
1
12 20
13 3
14 11
15 247
16
ICP-MS Determination of Trace Elements in Serum Samples of Healthy Subjects Using Different Sample Preparation Methods
12
17 73
18
[Effect of hemodialysis on QT dispersion in chronic uremia].
1
19 87
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026