Gyula P. Szigeti

93 total papers · 1.7k total citations
73 papers, 1.3k citations indexed

About

Gyula P. Szigeti is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Gyula P. Szigeti has authored 73 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 19 papers in Cardiology and Cardiovascular Medicine and 13 papers in Biomedical Engineering. Recurrent topics in Gyula P. Szigeti's work include Ion channel regulation and function (19 papers), Cardiac electrophysiology and arrhythmias (14 papers) and Microbial Inactivation Methods (9 papers). Gyula P. Szigeti is often cited by papers focused on Ion channel regulation and function (19 papers), Cardiac electrophysiology and arrhythmias (14 papers) and Microbial Inactivation Methods (9 papers). Gyula P. Szigeti collaborates with scholars based in Hungary, United States and South Africa. Gyula P. Szigeti's co-authors include Gabriella Hegyi, Á. Szász, Song-Jung Kim, Vladimir E. Bondarenko, Glenna C.L. Bett, Randall L. Rasmusson, László Csernoch, Olivér Szász, András Szász and Attila Marcell Szász and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The Journal of Physiology.

In The Last Decade

Gyula P. Szigeti

71 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Gyula P. Szigeti 575 376 291 194 105 73 1.3k
Keith L. Brain 572 1.0× 127 0.3× 183 0.6× 312 1.6× 40 0.4× 77 1.6k
Nelson G. Publicover 755 1.3× 235 0.6× 140 0.5× 395 2.0× 25 0.2× 62 1.5k
Mihai Radu 481 0.8× 50 0.1× 159 0.5× 119 0.6× 106 1.0× 57 1.2k
Frederick H. Kasten 511 0.9× 84 0.2× 162 0.6× 45 0.2× 19 0.2× 57 1.3k
Yasushi Hayashi 484 0.8× 126 0.3× 100 0.3× 291 1.5× 40 0.4× 146 1.5k
Jun Liu 873 1.5× 44 0.1× 105 0.4× 84 0.4× 27 0.3× 84 1.7k
W Korohoda 625 1.1× 36 0.1× 343 1.2× 208 1.1× 48 0.5× 96 1.2k
Muhammad Imran 365 0.6× 161 0.4× 142 0.5× 49 0.3× 26 0.2× 70 1.5k
Marcelo Lazzaron Lamers 596 1.0× 53 0.1× 111 0.4× 93 0.5× 19 0.2× 67 1.6k
Song Han 695 1.2× 124 0.3× 194 0.7× 129 0.7× 23 0.2× 80 1.8k

Countries citing papers authored by Gyula P. Szigeti

Since Specialization
Citations

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

Fields of papers citing papers by Gyula P. Szigeti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gyula P. Szigeti. 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 Gyula P. Szigeti. The network helps show where Gyula P. Szigeti may publish in the future.

Co-authorship network of co-authors of Gyula P. Szigeti

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

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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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