Rita Marincsák

33 total papers · 557 total citations
12 papers, 409 citations indexed

About

Rita Marincsák is a scholar working on Sensory Systems, Molecular Biology and Physiology. According to data from OpenAlex, Rita Marincsák has authored 12 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sensory Systems, 5 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Rita Marincsák's work include Ion Channels and Receptors (7 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Pain Mechanisms and Treatments (2 papers). Rita Marincsák is often cited by papers focused on Ion Channels and Receptors (7 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Pain Mechanisms and Treatments (2 papers). Rita Marincsák collaborates with scholars based in Hungary, United States and Netherlands. Rita Marincsák's co-authors include Tamás Bı́ró, Balázs István Tóth, Gabriella Czifra, László Kovács, Ilona Kovács, Attila Varga, Tamás Géczy, Nóra Dobrosi, Ralf Paus and Tamás Szabó and has published in prestigious journals such as Cancer Research, British Journal of Pharmacology and Life Sciences.

In The Last Decade

Rita Marincsák

12 papers receiving 400 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rita Marincsák 150 132 80 70 52 12 409
Nóra Dobrosi 88 0.6× 123 0.9× 47 0.6× 136 1.9× 78 1.5× 13 429
Carin Hoffmeister 146 1.0× 167 1.3× 94 1.2× 25 0.4× 61 1.2× 12 482
Killian L’Hérondelle 200 1.3× 87 0.7× 162 2.0× 154 2.2× 63 1.2× 12 490
Luc Lefeuvre 181 1.2× 61 0.5× 139 1.7× 140 2.0× 57 1.1× 8 399
Hiroki Kittaka 112 0.7× 100 0.8× 57 0.7× 115 1.6× 24 0.5× 11 372
Olivier Gouin 183 1.2× 74 0.6× 154 1.9× 204 2.9× 47 0.9× 13 493
Tamás Géczy 68 0.5× 81 0.6× 24 0.3× 150 2.1× 33 0.6× 17 392
Sandro Giuliani 90 0.6× 137 1.0× 131 1.6× 20 0.3× 150 2.9× 13 417
Pu Yang 117 0.8× 142 1.1× 92 1.1× 67 1.0× 34 0.7× 10 466
H. Schw�rer 25 0.2× 103 0.8× 88 1.1× 40 0.6× 90 1.7× 14 373

Countries citing papers authored by Rita Marincsák

Since Specialization
Citations

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

Fields of papers citing papers by Rita Marincsák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Marincsák

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Marincsák. A scholar is included among the top collaborators of Rita Marincsák 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 Rita Marincsák. Rita Marincsák is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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