Eva Mezeiová

53 total papers · 1.0k total citations
35 papers, 724 citations indexed

About

Eva Mezeiová is a scholar working on Pharmacology, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Eva Mezeiová has authored 35 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pharmacology, 15 papers in Computational Theory and Mathematics and 14 papers in Molecular Biology. Recurrent topics in Eva Mezeiová's work include Cholinesterase and Neurodegenerative Diseases (23 papers), Computational Drug Discovery Methods (15 papers) and Chemical synthesis and alkaloids (8 papers). Eva Mezeiová is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (23 papers), Computational Drug Discovery Methods (15 papers) and Chemical synthesis and alkaloids (8 papers). Eva Mezeiová collaborates with scholars based in Czechia, Slovakia and Spain. Eva Mezeiová's co-authors include Jan Korábečný, Ondřej Soukup, Kamil Kuča, Eugenie Nepovimová, Katarína Špilovská, Rafael Doležal, Daniel Jun, Martina Hrabinová, Jana Janočková and Ľubica Múčková and has published in prestigious journals such as Neuroscience, Molecules and European Journal of Medicinal Chemistry.

In The Last Decade

Eva Mezeiová

33 papers receiving 713 citations

Author Peers

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

Author Last Decade Papers Cites
Eva Mezeiová 445 281 279 205 133 35 724
Yang Xia 279 0.6× 143 0.5× 174 0.6× 125 0.6× 212 1.6× 25 754
Lorane Izabel da Silva Hage-Melim 155 0.3× 174 0.6× 130 0.5× 292 1.4× 114 0.9× 45 864
Adrian Podkowa 246 0.6× 97 0.3× 118 0.4× 208 1.0× 83 0.6× 23 638
Monika Marcinkowska 213 0.5× 116 0.4× 185 0.7× 283 1.4× 125 0.9× 52 761
Douglas K. Rush 359 0.8× 62 0.2× 221 0.8× 246 1.2× 122 0.9× 27 815
Takashi Kosasa 476 1.1× 138 0.5× 107 0.4× 293 1.4× 152 1.1× 27 802
Nuria M. Vivas 422 0.9× 257 0.9× 310 1.1× 277 1.4× 124 0.9× 26 816
Henry Lowe 296 0.7× 54 0.2× 127 0.5× 169 0.8× 38 0.3× 30 837
G. Andrew Reid 519 1.2× 337 1.2× 120 0.4× 197 1.0× 215 1.6× 24 703
Ian R. Macdonald 425 1.0× 276 1.0× 150 0.5× 177 0.9× 133 1.0× 28 688

Countries citing papers authored by Eva Mezeiová

Since Specialization
Citations

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

Fields of papers citing papers by Eva Mezeiová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Mezeiová

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