Eva Dobáková

528 total citations
9 papers, 334 citations indexed

About

Eva Dobáková is a scholar working on Molecular Biology, Epidemiology and Insect Science. According to data from OpenAlex, Eva Dobáková has authored 9 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Insect Science. Recurrent topics in Eva Dobáková's work include Trypanosoma species research and implications (4 papers), Protist diversity and phylogeny (3 papers) and Insect symbiosis and bacterial influences (2 papers). Eva Dobáková is often cited by papers focused on Trypanosoma species research and implications (4 papers), Protist diversity and phylogeny (3 papers) and Insect symbiosis and bacterial influences (2 papers). Eva Dobáková collaborates with scholars based in Czechia, United States and Canada. Eva Dobáková's co-authors include Julius Lukeš, Tomáš Skalický, Pavel Flegontov, Jan Votýpka, Vyacheslav Yurchenko, Dmitri Maslov, Martin Zoltner, Mark C. Field, Anastasiia Grybchuk‐Ieremenko and Alexei Yu. Kostygov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, New Phytologist and Molecular Biology and Evolution.

In The Last Decade

Eva Dobáková

9 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva Dobáková Czechia 7 194 164 90 69 68 9 334
Drahomíra Faktorová Czechia 15 431 2.2× 213 1.3× 39 0.4× 57 0.8× 124 1.8× 24 518
Alexander Schlacht Canada 8 330 1.7× 105 0.6× 31 0.3× 51 0.7× 52 0.8× 9 460
Anna Nenarokova Czechia 9 155 0.8× 116 0.7× 47 0.5× 54 0.8× 44 0.6× 12 284
Sibel Küçükyıldırım Türkiye 9 188 1.0× 32 0.2× 13 0.1× 20 0.3× 44 0.6× 22 326
Matej Vesteg Slovakia 12 286 1.5× 36 0.2× 9 0.1× 14 0.2× 105 1.5× 26 363
Jonathan D. Stoltzfus United States 10 92 0.5× 10 0.1× 28 0.3× 18 0.3× 148 2.2× 13 337
Pablo Mora Spain 12 209 1.1× 44 0.3× 71 0.8× 14 0.2× 24 0.4× 45 441
David Monnin United Kingdom 7 87 0.4× 8 0.0× 111 1.2× 12 0.2× 30 0.4× 10 275
Binnypreet Kaur Czechia 6 136 0.7× 18 0.1× 12 0.1× 8 0.1× 48 0.7× 6 153
Abuelhassan Elshazly Younis Egypt 10 76 0.4× 11 0.1× 22 0.2× 24 0.3× 140 2.1× 22 346

Countries citing papers authored by Eva Dobáková

Since Specialization
Citations

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

Fields of papers citing papers by Eva Dobáková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Dobáková

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Dobáková. A scholar is included among the top collaborators of Eva Dobáková 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 Dobáková. Eva Dobáková is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Hammond, Michael, Anna Nenarokova, Anzhelika Butenko, et al.. (2020). A Uniquely Complex Mitochondrial Proteome from Euglena gracilis. Molecular Biology and Evolution. 37(8). 2173–2191. 24 indexed citations
2.
Hanes, Jozef, Eva Dobáková, & Petra Majerová. (2020). Brain Drug Delivery: Overcoming the Blood-brain Barrier to Treat Tauopathies. Current Pharmaceutical Design. 26(13). 1448–1465. 2 indexed citations
3.
Vanclová, Anna M. G. Novák, Martin Zoltner, Steven Kelly, et al.. (2019). Metabolic quirks and the colourful history of the Euglena gracilis secondary plastid. New Phytologist. 225(4). 1578–1592. 50 indexed citations
4.
Skalický, Tomáš, Eva Dobáková, Richard John Wheeler, et al.. (2017). Extensive flagellar remodeling during the complex life cycle of Paratrypanosoma , an early-branching trypanosomatid. Proceedings of the National Academy of Sciences. 114(44). 11757–11762. 50 indexed citations
5.
Kostygov, Alexei Yu., Eva Dobáková, Anastasiia Grybchuk‐Ieremenko, et al.. (2016). Novel Trypanosomatid-Bacterium Association: Evolution of Endosymbiosis in Action. mBio. 7(2). e01985–e01985. 56 indexed citations
6.
Kraeva, Natalya, Aygul Ishemgulova, Eva Dobáková, et al.. (2015). Host-specificity of Monoxenous Trypanosomatids: Statistical Analysis of the Distribution and Transmission Patterns of the Parasites from Neotropical Heteroptera. Protist. 166(5). 551–568. 28 indexed citations
7.
Verner, Zdeněk, Somsuvro Basu, Corinna Benz, et al.. (2015). Malleable Mitochondrion of Trypanosoma brucei. International review of cell and molecular biology. 315. 73–151. 79 indexed citations
8.
Dobáková, Eva, Pavel Flegontov, Tomáš Skalický, & Julius Lukeš. (2015). Unexpectedly Streamlined Mitochondrial Genome of the EuglenozoanEuglena gracilis. Genome Biology and Evolution. 7(12). 3358–3367. 44 indexed citations
9.
Krajčovič, Juraj, et al.. (2011). Development of an effective transformation system for the nuclear genome of the flagellate Euglena gracilis. Current Opinion in Biotechnology. 22. S45–S45. 1 indexed citations

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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