Sándor Sárközi

24 total papers · 596 total citations
17 papers, 506 citations indexed

About

Sándor Sárközi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sándor Sárközi has authored 17 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sándor Sárközi's work include Ion channel regulation and function (17 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Neuroscience and Neural Engineering (3 papers). Sándor Sárközi is often cited by papers focused on Ion channel regulation and function (17 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Neuroscience and Neural Engineering (3 papers). Sándor Sárközi collaborates with scholars based in Hungary, France and Germany. Sándor Sárközi's co-authors include István Jóna, Csaba Szegedi, László Csernoch, Péter Szentesi, Magdolna Varsányi, János Almássy, László Kovács, Claude Collet, Vincent Jacquemond and Michel Ronjat and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Physiology and Biochemical Journal.

In The Last Decade

Sándor Sárközi

17 papers receiving 500 citations

Author Peers

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

Author Last Decade Papers Cites
Sándor Sárközi 400 220 144 51 46 17 506
Csaba Szegedi 472 1.2× 266 1.2× 156 1.1× 44 0.9× 56 1.2× 18 598
Juan José Marengo 398 1.0× 145 0.7× 216 1.5× 91 1.8× 50 1.1× 16 545
Jia-Zheng Zhang 492 1.2× 251 1.1× 175 1.2× 32 0.6× 58 1.3× 10 548
Lynn A. Litterer 389 1.0× 194 0.9× 104 0.7× 24 0.5× 17 0.4× 12 514
Aki Yamada 227 0.6× 161 0.7× 83 0.6× 10 0.2× 62 1.3× 22 494
David Báez-Nieto 359 0.9× 111 0.5× 179 1.2× 12 0.2× 112 2.4× 20 501
E. Lohrmann 325 0.8× 93 0.4× 161 1.1× 20 0.4× 35 0.8× 24 473
Brian Costello 331 0.8× 79 0.4× 179 1.2× 25 0.5× 19 0.4× 15 480
Toshiyuki Takasago 318 0.8× 337 1.5× 101 0.7× 35 0.7× 25 0.5× 18 460
Pierre Pouliquin 463 1.2× 178 0.8× 234 1.6× 29 0.6× 37 0.8× 14 558

Countries citing papers authored by Sándor Sárközi

Since Specialization
Citations

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

Fields of papers citing papers by Sándor Sárközi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sándor Sárközi

This figure shows the co-authorship network connecting the top 25 collaborators of Sándor Sárközi. A scholar is included among the top collaborators of Sándor Sárközi 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 Sándor Sárközi. Sándor Sárközi 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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2026