Eva Mezeiová
- Pharmacology top 2%
- Computational Theory and Mathematics top 2%
- Organic Chemistry top 10%
- Molecular Biology
- Physiology
- Co-authors
- Jan KorábečnýOndřej SoukupKamil KučaEugenie NepovimováRafael DoležalKatarína ŠpilovskáDaniel JunMartina Hrabinová
- Topics
- Cholinesterase and Neurodegenerative Diseases (23 papers)Computational Drug Discovery Methods (15 papers)Chemical synthesis and alkaloids (8 papers)
In The Last Decade
Eva Mezeiová
33 papers receiving 718 citations
Peers
Comparison fields: 5 of 88
- Pharmacology 447
- Computational Theory and Mathematics 282
- Organic Chemistry 280
- Molecular Biology 206
- Physiology 133
Countries citing papers authored by Eva Mezeiová
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 5 | |
| 4 | 19 | |
| 5 | 16 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 25 | |
| 9 | 5 | |
| 10 | 28 | |
| 11 | 39 | |
| 12 | 25 | |
| 13 | 23 | |
| 14 | 56 | |
| 15 | 7 | |
| 16 | 53 | |
| 17 | 35 | |
| 18 | 53 | |
| 19 | 10 | |
| 20 | 71 |
About Eva Mezeiová
Eva Mezeiová is a scholar working on Pharmacology, Computational Theory and Mathematics and Organic Chemistry, having authored 35 papers that have together received 729 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (23 papers), Computational Drug Discovery Methods (15 papers) and Chemical synthesis and alkaloids (8 papers). The work is most often cited by research in Pharmacology (447 citations), Computational Theory and Mathematics (282 citations) and Organic Chemistry (280 citations). Eva Mezeiová has collaborated with scholars based in Czechia, Slovakia and Serbia. Frequent co-authors include Jan Korábečný, Ondřej Soukup, Kamil Kuča, Eugenie Nepovimová, Rafael Doležal, Katarína Špilovská, Daniel Jun, Martina Hrabinová, Jana Janočková and Lukáš Górecki. Their work appears in journals such as Neuroscience, Molecules and European Journal of Medicinal Chemistry.
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.