Beáta Lontay

41 total papers · 707 total citations
33 papers, 530 citations indexed

About

Beáta Lontay is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Beáta Lontay has authored 33 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Physiology and 7 papers in Cell Biology. Recurrent topics in Beáta Lontay's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Nitric Oxide and Endothelin Effects (4 papers) and Muscle Physiology and Disorders (4 papers). Beáta Lontay is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Nitric Oxide and Endothelin Effects (4 papers) and Muscle Physiology and Disorders (4 papers). Beáta Lontay collaborates with scholars based in Hungary, United States and Canada. Beáta Lontay's co-authors include Ferenc Erdődi, Andrea Kiss, Pál Gergely, Adrienn Sipos, David J. Hartshorne, Zoltán Serfözö, László Virág, Krisztina Tar, Douglas H. Weitzel and Khaldon Bodoor and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Comparative Neurology.

In The Last Decade

Beáta Lontay

33 papers receiving 527 citations

Author Peers

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

Author Last Decade Papers Cites
Beáta Lontay 346 112 102 65 50 33 530
A. Sandra 341 1.0× 114 1.0× 85 0.8× 49 0.8× 72 1.4× 32 542
Anil K. Challa 374 1.1× 69 0.6× 96 0.9× 74 1.1× 38 0.8× 37 613
Shen‐Ling Xia 338 1.0× 79 0.7× 106 1.0× 54 0.8× 49 1.0× 30 510
Victor Debbas 230 0.7× 145 1.3× 73 0.7× 51 0.8× 61 1.2× 28 597
Yasuro Furuichi 349 1.0× 215 1.9× 105 1.0× 39 0.6× 44 0.9× 47 589
Jiahn-Chun Wu 313 0.9× 49 0.4× 73 0.7× 33 0.5× 55 1.1× 21 468
Kazunori Yoshimura 268 0.8× 80 0.7× 139 1.4× 64 1.0× 31 0.6× 41 619
Mei Huang 367 1.1× 126 1.1× 85 0.8× 43 0.7× 27 0.5× 34 615
Valeria Guglielmi 298 0.9× 67 0.6× 52 0.5× 65 1.0× 71 1.4× 36 581
Paulo S. Caceres 437 1.3× 67 0.6× 76 0.7× 31 0.5× 40 0.8× 20 595

Countries citing papers authored by Beáta Lontay

Since Specialization
Citations

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

Fields of papers citing papers by Beáta Lontay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beáta Lontay

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