Róbert Pórszász

57 total papers · 1.1k total citations
41 papers, 821 citations indexed

About

Róbert Pórszász is a scholar working on Physiology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Róbert Pórszász has authored 41 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 11 papers in Cellular and Molecular Neuroscience and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Róbert Pórszász's work include Pain Mechanisms and Treatments (10 papers), Ion Channels and Receptors (9 papers) and Neuropeptides and Animal Physiology (8 papers). Róbert Pórszász is often cited by papers focused on Pain Mechanisms and Treatments (10 papers), Ion Channels and Receptors (9 papers) and Neuropeptides and Animal Physiology (8 papers). Róbert Pórszász collaborates with scholars based in Hungary, Switzerland and United States. Róbert Pórszász's co-authors include Janós Szolcsányi, Torsten Reese, Attila Tóth, Damien Bochelen, Ágnes Czikora, István Édes, Nicolau Beckmann, Zoltán Papp, József Németh and André Sauter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Physiology.

In The Last Decade

Róbert Pórszász

41 papers receiving 805 citations

Author Peers

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

Author Last Decade Papers Cites
Róbert Pórszász 260 246 194 182 147 41 821
Nathan R. Tykocki 317 1.2× 94 0.4× 202 1.0× 371 2.0× 46 0.3× 29 1.0k
Osama F. Harraz 362 1.4× 172 0.7× 265 1.4× 572 3.1× 28 0.2× 37 1.1k
Christian Foged 188 0.7× 207 0.8× 480 2.5× 361 2.0× 202 1.4× 45 1.0k
Rebecca Haddock 372 1.4× 98 0.4× 133 0.7× 389 2.1× 32 0.2× 22 819
Yoshihito Funaki 255 1.0× 105 0.4× 111 0.6× 142 0.8× 121 0.8× 38 804
Prem K.G. Chandran 317 1.2× 182 0.7× 220 1.1× 171 0.9× 37 0.3× 29 783
Akihiro Tobe 127 0.5× 63 0.3× 259 1.3× 262 1.4× 44 0.3× 96 763
Zhihua Yu 313 1.2× 72 0.3× 208 1.1× 392 2.2× 54 0.4× 47 1.0k
Akiko Ogawa 450 1.7× 52 0.2× 220 1.1× 201 1.1× 100 0.7× 66 1.0k
Pratish Thakore 202 0.8× 214 0.9× 158 0.8× 259 1.4× 16 0.1× 31 807

Countries citing papers authored by Róbert Pórszász

Since Specialization
Citations

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

Fields of papers citing papers by Róbert Pórszász

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Róbert Pórszász

This figure shows the co-authorship network connecting the top 25 collaborators of Róbert Pórszász. A scholar is included among the top collaborators of Róbert Pórszász 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 Róbert Pórszász. Róbert Pórszász 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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