Zsanett Tárnok

70 total papers · 4.2k total citations
34 papers, 768 citations indexed

About

Zsanett Tárnok is a scholar working on Cognitive Neuroscience, Clinical Psychology and Psychiatry and Mental health. According to data from OpenAlex, Zsanett Tárnok has authored 34 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 19 papers in Clinical Psychology and 14 papers in Psychiatry and Mental health. Recurrent topics in Zsanett Tárnok's work include Obsessive-Compulsive Spectrum Disorders (18 papers), Autism Spectrum Disorder Research (15 papers) and Attention Deficit Hyperactivity Disorder (13 papers). Zsanett Tárnok is often cited by papers focused on Obsessive-Compulsive Spectrum Disorders (18 papers), Autism Spectrum Disorder Research (15 papers) and Attention Deficit Hyperactivity Disorder (13 papers). Zsanett Tárnok collaborates with scholars based in Hungary, Germany and United States. Zsanett Tárnok's co-authors include Zsófia Nemoda, Júlia Gádoros, Mária Sasvári‐Székely, Éva Kereszturi, Ádám Takács, Andrea Kóbor, Csaba Barta, Kenneth K. Kídd, Sylvester L.B. Kajuna and Krisztina Lakatos and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The American Journal of Human Genetics.

In The Last Decade

Zsanett Tárnok

32 papers receiving 752 citations

Author Peers

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

Author Last Decade Papers Cites
Zsanett Tárnok 351 266 242 99 82 34 768
Glòria Palomar 313 0.9× 134 0.5× 575 2.4× 75 0.8× 85 1.0× 33 761
Reid Robison 249 0.7× 198 0.7× 318 1.3× 118 1.2× 141 1.7× 37 800
Lawrence Ginsberg 303 0.9× 109 0.4× 535 2.2× 71 0.7× 86 1.0× 38 869
Eva-Maria Tsapakis 131 0.4× 224 0.8× 265 1.1× 50 0.5× 173 2.1× 38 803
Jishui Zhang 418 1.2× 179 0.7× 136 0.6× 176 1.8× 44 0.5× 53 847
M.-C. Bourdel 270 0.8× 247 0.9× 279 1.2× 131 1.3× 222 2.7× 29 890
Haimei Li 394 1.1× 88 0.3× 501 2.1× 105 1.1× 74 0.9× 61 873
Maria Spanò 115 0.3× 134 0.5× 283 1.2× 67 0.7× 115 1.4× 25 675
Ching‐Jui Chang 171 0.5× 157 0.6× 427 1.8× 85 0.9× 56 0.7× 26 873
Adele Ferro 316 0.9× 104 0.4× 261 1.1× 54 0.5× 33 0.4× 53 850

Countries citing papers authored by Zsanett Tárnok

Since Specialization
Citations

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

Fields of papers citing papers by Zsanett Tárnok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zsanett Tárnok

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