Szabolcs Orosz

442 total citations
7 papers, 353 citations indexed

About

Szabolcs Orosz is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Szabolcs Orosz has authored 7 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Szabolcs Orosz's work include Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (4 papers) and Cardiac Ischemia and Reperfusion (2 papers). Szabolcs Orosz is often cited by papers focused on Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (4 papers) and Cardiac Ischemia and Reperfusion (2 papers). Szabolcs Orosz collaborates with scholars based in Hungary. Szabolcs Orosz's co-authors include Zsolt Némethy, Zsolt Szombathelyi, György Domány, Éva Ágai-Csongor, Károly Tihanyi, I. Laszlovszky, István Gyertyán, Béla Kiss, Károly Fazekas and Nika Adham and has published in prestigious journals such as Brain Research, Journal of Pharmacology and Experimental Therapeutics and British Journal of Pharmacology.

In The Last Decade

Szabolcs Orosz

7 papers receiving 336 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Szabolcs Orosz Hungary 6 172 148 127 64 61 7 353
F. Lafaille Canada 12 109 0.6× 216 1.5× 104 0.8× 59 0.9× 31 0.5× 13 358
Éva Ágai-Csongor Hungary 7 236 1.4× 249 1.7× 191 1.5× 85 1.3× 12 0.2× 10 512
Ryosuke Miyatake Japan 13 115 0.7× 121 0.8× 133 1.0× 45 0.7× 31 0.5× 23 398
B. E. Leonard Ireland 9 95 0.6× 112 0.8× 59 0.5× 101 1.6× 43 0.7× 35 366
M. Quartaroli Italy 9 50 0.3× 134 0.9× 128 1.0× 48 0.8× 29 0.5× 15 341
Takaichi Miwa Japan 6 169 1.0× 192 1.3× 186 1.5× 45 0.7× 11 0.2× 7 404
Hitomi Oki Japan 5 206 1.2× 117 0.8× 92 0.7× 70 1.1× 7 0.1× 6 368
Takahiko Inagaki Japan 10 29 0.2× 58 0.4× 97 0.8× 62 1.0× 48 0.8× 14 405
Love Linnér Sweden 9 66 0.4× 191 1.3× 97 0.8× 58 0.9× 9 0.1× 14 350
David Costain United Kingdom 8 199 1.2× 165 1.1× 85 0.7× 118 1.8× 17 0.3× 9 387

Countries citing papers authored by Szabolcs Orosz

Since Specialization
Citations

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

Fields of papers citing papers by Szabolcs Orosz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Szabolcs Orosz

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

All Works

7 of 7 papers shown
1.
Orosz, Szabolcs, Ferenc Rárosi, András Varró, et al.. (2016). New in vitro model for proarrhythmia safety screening: IKs inhibition potentiates the QTc prolonging effect of IKr inhibitors in isolated guinea pig hearts. Journal of Pharmacological and Toxicological Methods. 80. 26–34. 6 indexed citations
2.
Kardos, Péter, Szabolcs Orosz, István Tarnawa, et al.. (2015). Predictive validity of endpoints used in electrophysiological modelling of migraine in the trigeminovascular system. Brain Research. 1625. 287–300. 6 indexed citations
3.
Orosz, Szabolcs, Julius Gy. Papp, András Varró, et al.. (2014). Assessment of Efficacy of Proarrhythmia Biomarkers in Isolated Rabbit Hearts With Attenuated Repolarization Reserve. Journal of Cardiovascular Pharmacology. 64(3). 266–276. 5 indexed citations
4.
Kiss, Béla, Attila Horváth, Zsolt Némethy, et al.. (2010). Cariprazine (RGH-188), a Dopamine D3 Receptor-Preferring, D3/D2 Dopamine Receptor Antagonist–Partial Agonist Antipsychotic Candidate: In Vitro and Neurochemical Profile. Journal of Pharmacology and Experimental Therapeutics. 333(1). 328–340. 290 indexed citations
5.
Farkas, Attila S., Péter Makra, Szabolcs Orosz, et al.. (2009). The role of the Na+/Ca2+exchanger, INaand ICaLin the genesis of dofetilide‐induced torsades de pointes in isolated, AV‐blocked rabbit hearts. British Journal of Pharmacology. 156(6). 920–932. 26 indexed citations
6.
Orosz, Szabolcs, Attila S. Farkas, Péter Makra, et al.. (2007). Repolarization-related ECG parameters do not predict the proarrhythmic activity of dofetilide. Journal of Molecular and Cellular Cardiology. 42(6). S6–S6. 2 indexed citations
7.
Farkas, Attila S., Károly Acsai, András Tóth, et al.. (2006). Importance of extracardiac α1-adrenoceptor stimulation in assisting dofetilide to induce torsade de pointes in rabbit hearts. European Journal of Pharmacology. 537(1-3). 118–125. 18 indexed citations

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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