László Szidonya

47 total papers · 1.2k total citations
24 papers, 631 citations indexed

About

László Szidonya is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, László Szidonya has authored 24 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in László Szidonya's work include Receptor Mechanisms and Signaling (9 papers), Renin-Angiotensin System Studies (4 papers) and Neuropeptides and Animal Physiology (4 papers). László Szidonya is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Renin-Angiotensin System Studies (4 papers) and Neuropeptides and Animal Physiology (4 papers). László Szidonya collaborates with scholars based in Hungary, United States and United Kingdom. László Szidonya's co-authors include László Hunyady, Gábor Turu, Adrian J. L. Clark, Zsuzsanna Gáborik, Miklós Cserző, György Bagdy, Péter Várnai, Kevin Catt, Sándor Paku and Márta Szaszák and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and FEBS Letters.

In The Last Decade

László Szidonya

24 papers receiving 624 citations

Author Peers

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

Author Last Decade Papers Cites
László Szidonya 340 216 127 126 103 24 631
Lucas T. Parreiras‐e‐Silva 463 1.4× 179 0.8× 37 0.3× 92 0.7× 71 0.7× 24 685
S. Heisler 380 1.1× 222 1.0× 26 0.2× 123 1.0× 150 1.5× 42 755
Todd L. Anthony 316 0.9× 124 0.6× 66 0.5× 53 0.4× 43 0.4× 25 612
Holly R. Yeatman 327 1.0× 245 1.1× 38 0.3× 112 0.9× 78 0.8× 15 572
Prasad Konkalmatt 395 1.2× 172 0.8× 24 0.2× 104 0.8× 70 0.7× 33 764
C.J. Daly 483 1.4× 242 1.1× 70 0.6× 161 1.3× 56 0.5× 40 759
P. Senanayake 267 0.8× 101 0.5× 45 0.4× 315 2.5× 183 1.8× 23 772
Junko Kasuya 360 1.1× 197 0.9× 41 0.3× 45 0.4× 193 1.9× 24 659
Daly Jw 441 1.3× 293 1.4× 46 0.4× 72 0.6× 35 0.3× 18 747
Jean‐Philippe Fortin 334 1.0× 203 0.9× 46 0.4× 24 0.2× 151 1.5× 24 727

Countries citing papers authored by László Szidonya

Since Specialization
Citations

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

Fields of papers citing papers by László Szidonya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Szidonya

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