Éva Susánszky

58 total papers · 641 total citations
32 papers, 445 citations indexed

About

Éva Susánszky is a scholar working on Clinical Psychology, Public Health, Environmental and Occupational Health and General Health Professions. According to data from OpenAlex, Éva Susánszky has authored 32 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Clinical Psychology, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in General Health Professions. Recurrent topics in Éva Susánszky's work include Resilience and Mental Health (5 papers), Health, psychology, and well-being (4 papers) and Prenatal Screening and Diagnostics (2 papers). Éva Susánszky is often cited by papers focused on Resilience and Mental Health (5 papers), Health, psychology, and well-being (4 papers) and Prenatal Screening and Diagnostics (2 papers). Éva Susánszky collaborates with scholars based in Hungary, United Kingdom and Czechia. Éva Susánszky's co-authors include Mária Kopp, Barna Konkolÿ Thege, Szilvia Ádám, Zsuzsa Győrffy, Adrienne Stauder, Andrew E. Czeizel, L Tı́már, Sándor Rózsa, A. Czeizel and György Purebl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mutation research. Fundamental and molecular mechanisms of mutagenesis and International Journal of Gynecology & Obstetrics.

In The Last Decade

Éva Susánszky

29 papers receiving 418 citations

Author Peers

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

Author Last Decade Papers Cites
Éva Susánszky 136 116 83 61 53 32 445
Trine Nøhr Winding 127 0.9× 136 1.2× 61 0.7× 111 1.8× 53 1.0× 40 438
Ching‐Hui Chien 107 0.8× 136 1.2× 56 0.7× 71 1.2× 72 1.4× 42 478
Tomás Blasco Blasco 108 0.8× 69 0.6× 99 1.2× 69 1.1× 90 1.7× 50 404
Tak Mau Simon Chan 97 0.7× 136 1.2× 58 0.7× 44 0.7× 41 0.8× 39 471
Guido Mazzotti 98 0.7× 169 1.5× 149 1.8× 57 0.9× 36 0.7× 29 480
Andrea Lukács 83 0.6× 109 0.9× 60 0.7× 64 1.0× 62 1.2× 59 444
Veronica Phillips 94 0.7× 131 1.1× 48 0.6× 87 1.4× 19 0.4× 36 460
Hildeberto Correia 98 0.7× 69 0.6× 36 0.4× 36 0.6× 50 0.9× 22 463
Diana M. Smith 108 0.8× 179 1.5× 67 0.8× 59 1.0× 21 0.4× 23 425
Emelien Lauwerier 102 0.8× 116 1.0× 57 0.7× 71 1.2× 59 1.1× 45 449

Countries citing papers authored by Éva Susánszky

Since Specialization
Citations

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

Fields of papers citing papers by Éva Susánszky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éva Susánszky

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