Gábor Szénási

156 total papers · 2.8k total citations
114 papers, 2.0k citations indexed

About

Gábor Szénási is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gábor Szénási has authored 114 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 27 papers in Cardiology and Cardiovascular Medicine and 24 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gábor Szénási's work include Neuroscience and Neuropharmacology Research (18 papers), Cardiac electrophysiology and arrhythmias (17 papers) and Receptor Mechanisms and Signaling (11 papers). Gábor Szénási is often cited by papers focused on Neuroscience and Neuropharmacology Research (18 papers), Cardiac electrophysiology and arrhythmias (17 papers) and Receptor Mechanisms and Signaling (11 papers). Gábor Szénási collaborates with scholars based in Hungary, France and United States. Gábor Szénási's co-authors include László G. Hársing, András Vereckei, György Lévay, Gábor Zoltán Duray, John M. Miller, Gregory T. Altemose, Gábor Gigler, Mihály Albert, Péter Hamar and István Gacsályi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Physiology.

In The Last Decade

Gábor Szénási

108 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Gábor Szénási 627 495 276 184 179 114 2.0k
Hong Jiang 650 1.0× 581 1.2× 170 0.6× 42 0.2× 302 1.7× 71 1.9k
Peng Shi 808 1.3× 697 1.4× 292 1.1× 72 0.4× 300 1.7× 85 2.9k
Peng Ye 1.0k 1.6× 236 0.5× 266 1.0× 86 0.5× 253 1.4× 126 2.6k
Paula Serrão 728 1.2× 261 0.5× 248 0.9× 124 0.7× 292 1.6× 128 1.9k
Chunxiang Zhang 642 1.0× 291 0.6× 149 0.5× 50 0.3× 461 2.6× 74 2.2k
Katsuji Oguchi 919 1.5× 217 0.4× 454 1.6× 90 0.5× 395 2.2× 175 2.4k
Toshio Kumai 641 1.0× 159 0.3× 183 0.7× 53 0.3× 239 1.3× 118 2.1k
Junying Wang 516 0.8× 140 0.3× 221 0.8× 256 1.4× 401 2.2× 128 2.2k
Kim‐Hanh Le Quan Sang 792 1.3× 304 0.6× 465 1.7× 180 1.0× 306 1.7× 86 2.3k
Na Feng 829 1.3× 177 0.4× 201 0.7× 48 0.3× 245 1.4× 131 2.2k

Countries citing papers authored by Gábor Szénási

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Szénási

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Szénási

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

All Works

Loading papers...

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