Beáta Horváth

27 total papers · 570 total citations
19 papers, 448 citations indexed

About

Beáta Horváth is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Beáta Horváth has authored 19 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Beáta Horváth's work include Blood properties and coagulation (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Lipoproteins and Cardiovascular Health (3 papers). Beáta Horváth is often cited by papers focused on Blood properties and coagulation (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Lipoproteins and Cardiovascular Health (3 papers). Beáta Horváth collaborates with scholars based in Hungary, United States and Poland. Beáta Horváth's co-authors include Kálmán Tóth, Gábor Késmárky, Tamás Alexy, Zsolt Márton, Katalin Koltai, Gergely Fehér, Tamás Habon, László Szapáry, Róbert Halmosi and I. Juricskay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Toxicology and Applied Pharmacology and Phytomedicine.

In The Last Decade

Beáta Horváth

19 papers receiving 431 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 Horváth 126 77 70 69 54 19 448
T. Shimamoto 100 0.8× 59 0.8× 47 0.7× 46 0.7× 35 0.6× 27 424
Henrik Lind 71 0.6× 70 0.9× 71 1.0× 49 0.7× 19 0.4× 20 520
Mario Pergolini 164 1.3× 93 1.2× 26 0.4× 86 1.2× 28 0.5× 17 423
Teresa Craig 133 1.1× 47 0.6× 53 0.8× 25 0.4× 16 0.3× 13 455
Figen Çiloğlu 179 1.4× 56 0.7× 38 0.5× 31 0.4× 26 0.5× 27 456
Mingxia Zhao 121 1.0× 128 1.7× 158 2.3× 22 0.3× 23 0.4× 12 522
Noriyuki Naya 155 1.2× 45 0.6× 229 3.3× 41 0.6× 20 0.4× 30 519
Min Zhao 48 0.4× 53 0.7× 96 1.4× 54 0.8× 20 0.4× 28 410
Yesari Karter 125 1.0× 72 0.9× 94 1.3× 61 0.9× 16 0.3× 29 491
Kateryna Sopova 66 0.5× 31 0.4× 117 1.7× 20 0.3× 16 0.3× 30 493

Countries citing papers authored by Beáta Horváth

Since Specialization
Citations

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

Fields of papers citing papers by Beáta Horváth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beáta Horváth

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