László Mátyus

57 papers receiving 1.9k citations

Peers

László Mátyus
Comparison fields: 5 of 109
  • Biophysics 367
  • Immunology and Allergy 76
  • Molecular Biology 942
  • Immunology 247
  • Physical and Theoretical Chemistry 104
Replace György Vámosi with:
György Vámosi Hungary
David A. Deranleau Switzerland
Valeria Rosaria Caiolfa Italy
Maria Teresa Santini Italy
Herbert Treutlein Australia
Elizabeth Hinde Australia
Manuel Dauchez France
Chan‐Gi Pack South Korea
Christian Jüngst Germany
Deborah A. Roess United States
László Mátyus relative to György Vámosi Hungary György Vámosi's profile →
Citations per field
00.5×1.5×1.9×
György Vámosi · 1×
Citations per year

Countries citing papers authored by László Mátyus

Since Specialization
Citations

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

Fields of papers citing papers by László Mátyus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003417
2 1998190
3 2006166
4 2004119
5 2004107
6 199277
7 199776
8 200376
9 198760
10 199158
11 200458
12 201045
13 200238
14 198636
15 200131
16 199326
17 199526
18 199925
19 198624
20 200424

About László Mátyus

László Mátyus is a scholar working on Biophysics, Physical and Theoretical Chemistry, Molecular Biology, Immunology and Allergy and Immunology, having authored 60 papers that have together received 2k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (15 papers), Lipid Membrane Structure and Behavior (13 papers), Ion channel regulation and function (9 papers), Cytokine Signaling Pathways and Interactions (7 papers), Photochemistry and Electron Transfer Studies (7 papers), T-cell and B-cell Immunology (6 papers), Cell Adhesion Molecules Research (4 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Biophysics (367 citations), Immunology and Allergy (76 citations), Molecular Biology (942 citations), Immunology (247 citations) and Physical and Theoretical Chemistry (104 citations). László Mátyus has collaborated with scholars based in Hungary, United States and Italy. Frequent co-authors include Sándor Damjanovich, János Szöllõsi, Attila Jenei, György Vereb, János Matkó, Péter Nagy, Thomas A. Waldmann, Tibor Farkas, László Vı́gh and Andrea Bodnár. Their work appears in journals such as Cytometry, Proceedings of the National Academy of Sciences, Journal of Photochemistry and Photobiology B Biology, Immunology Letters and Cytometry Part A.

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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