Csaba Szegedi

22 total papers · 708 total citations
18 papers, 598 citations indexed

About

Csaba Szegedi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Csaba Szegedi has authored 18 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Cardiology and Cardiovascular Medicine and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Csaba Szegedi's work include Ion channel regulation and function (16 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Neuroscience and Neural Engineering (4 papers). Csaba Szegedi is often cited by papers focused on Ion channel regulation and function (16 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Neuroscience and Neural Engineering (4 papers). Csaba Szegedi collaborates with scholars based in Hungary, Germany and France. Csaba Szegedi's co-authors include István Jóna, Sándor Sárközi, Magdolna Varsányi, László Csernoch, Péter Szentesi, Martin Werner, Julia Sacher, M. Hohenegger, Lukas Weigl and László Kovács and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Physiology and Biochemistry.

In The Last Decade

Csaba Szegedi

18 papers receiving 584 citations

Author Peers

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

Author Last Decade Papers Cites
Csaba Szegedi 472 266 156 67 56 18 598
Laura A. Price 419 0.9× 109 0.4× 211 1.4× 29 0.4× 33 0.6× 13 628
Julio Altamirano 427 0.9× 265 1.0× 166 1.1× 37 0.6× 30 0.5× 20 650
Dominique Renard 323 0.7× 96 0.4× 127 0.8× 44 0.7× 45 0.8× 12 557
JuFang Wang 457 1.0× 363 1.4× 66 0.4× 28 0.4× 33 0.6× 27 642
Zuzana Nichtová 453 1.0× 115 0.4× 123 0.8× 30 0.4× 25 0.4× 25 681
Cornelia C. Siebrands 300 0.6× 238 0.9× 56 0.4× 28 0.4× 92 1.6× 14 554
Mark L. Bannister 422 0.9× 359 1.3× 116 0.7× 23 0.3× 24 0.4× 17 599
Su‐Hyun Jo 426 0.9× 310 1.2× 59 0.4× 34 0.5× 100 1.8× 15 657
Thomas Kjær Klausen 498 1.1× 79 0.3× 168 1.1× 34 0.5× 151 2.7× 15 668
Line Garneau 511 1.1× 153 0.6× 155 1.0× 24 0.4× 36 0.6× 22 584

Countries citing papers authored by Csaba Szegedi

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Szegedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Csaba Szegedi

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