Marek Eliáš

8.7k total citations
83 papers, 2.4k citations indexed

About

Marek Eliáš is a scholar working on Molecular Biology, Ecology and Oceanography. According to data from OpenAlex, Marek Eliáš has authored 83 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 42 papers in Ecology and 12 papers in Oceanography. Recurrent topics in Marek Eliáš's work include Protist diversity and phylogeny (61 papers), Microbial Community Ecology and Physiology (40 papers) and Genomics and Phylogenetic Studies (33 papers). Marek Eliáš is often cited by papers focused on Protist diversity and phylogeny (61 papers), Microbial Community Ecology and Physiology (40 papers) and Genomics and Phylogenetic Studies (33 papers). Marek Eliáš collaborates with scholars based in Czechia, Canada and United States. Marek Eliáš's co-authors include Julius Lukeš, Vladimír Klimeš, Dave Speijer, Čestmı́r Vlček, Tereza Ševčíková, Joel B. Dacks, B. Franz Lang, Vladimı́r Hampl, Pavel Škaloud and Kristína Záhonová and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Current Biology.

In The Last Decade

Marek Eliáš

80 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Eliáš Czechia 29 1.8k 761 396 310 266 83 2.4k
Yuji Inagaki Japan 31 2.3k 1.3× 1.4k 1.8× 258 0.7× 103 0.3× 90 0.3× 125 2.8k
Fabien Burki Canada 37 3.4k 1.9× 2.2k 2.9× 717 1.8× 190 0.6× 216 0.8× 67 4.5k
Uwe‐G. Maier Germany 36 2.8k 1.6× 1.4k 1.8× 497 1.3× 485 1.6× 94 0.4× 71 3.5k
Kamran Shalchian‐Tabrizi Norway 34 2.5k 1.4× 2.0k 2.6× 459 1.2× 117 0.4× 287 1.1× 60 3.7k
Javier del Campo Spain 30 1.8k 1.0× 1.9k 2.5× 224 0.6× 257 0.8× 135 0.5× 72 2.8k
Eunsoo Kim United States 26 1.2k 0.7× 778 1.0× 370 0.9× 82 0.3× 69 0.3× 85 1.9k
Michael Reith Canada 31 1.9k 1.0× 968 1.3× 346 0.9× 393 1.3× 57 0.2× 65 3.4k
Birger Marin Germany 22 1.4k 0.8× 965 1.3× 396 1.0× 292 0.9× 76 0.3× 26 2.1k
James Umen United States 35 2.3k 1.3× 296 0.4× 586 1.5× 1.1k 3.7× 284 1.1× 66 3.3k
Charles J. O’Kelly United States 31 1.8k 1.0× 1.2k 1.6× 204 0.5× 392 1.3× 89 0.3× 86 2.8k

Countries citing papers authored by Marek Eliáš

Since Specialization
Citations

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

Fields of papers citing papers by Marek Eliáš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Eliáš

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

All Works

20 of 20 papers shown
1.
Benz, Corinna, Marek Eliáš, Tomáš Bílý, et al.. (2025). The Core MICOS Complex Subunit mic60 has Been Substituted by Two Cryptic Mitofilin-containing Proteins in Euglenozoa. Molecular Biology and Evolution. 42(11).
2.
Legrand, Pierre, et al.. (2025). The Asgard archaeal origins of Arf family GTPases involved in eukaryotic organelle dynamics. Nature Microbiology. 10(2). 495–508. 7 indexed citations
3.
Agostini, Alessandro, David Bína, Marco Bortolus, et al.. (2024). Eustigmatophyte model of red-shifted chlorophyll a absorption in light-harvesting complexes. Communications Biology. 7(1). 1406–1406. 4 indexed citations
4.
Jackson, Catherine, et al.. (2023). An evolutionary perspective on Arf family GTPases. Current Opinion in Cell Biology. 85. 102268–102268. 3 indexed citations
5.
Pánek, Tomáš, Ondřej Gahura, Jiří Týč, et al.. (2023). A Novel Group of Dynamin-Related Proteins Shared by Eukaryotes and Giant Viruses Is Able to Remodel Mitochondria From Within the Matrix. Molecular Biology and Evolution. 40(6). 8 indexed citations
6.
Wideman, Jeremy G., Romain Derelle, Vladimír Klimeš, et al.. (2021). A Eukaryote-Wide Perspective on the Diversity and Evolution of the ARF GTPase Protein Family. Genome Biology and Evolution. 13(8). 22 indexed citations
7.
Yang, Hsiao‐Pei, Duncan Hauser, Jessica Nelson, et al.. (2021). Monodopsis and Vischeria Genomes Shed New Light on the Biology of Eustigmatophyte Algae. Genome Biology and Evolution. 13(11). 10 indexed citations
8.
Hodač, Ladislav, et al.. (2021). Settling the identity and phylogenetic position of the psychrotolerant green algal genus Coleochlamys (Trebouxiophyceae). Phycologia. 60(2). 135–147. 4 indexed citations
9.
Eliáš, Marek. (2021). Protist diversity: Novel groups enrich the algal tree of life. Current Biology. 31(11). R733–R735. 7 indexed citations
10.
Eliáš, Marek, et al.. (2021). Expansion and transformation of the minor spliceosomal system in the slime mold Physarum polycephalum. Current Biology. 31(14). 3125–3131.e4. 11 indexed citations
11.
Karnkowska, Anna, Sebastian Cristian Treitli, Lukáš Novák, et al.. (2019). The Oxymonad Genome Displays Canonical Eukaryotic Complexity in the Absence of a Mitochondrion. Molecular Biology and Evolution. 36(10). 2292–2312. 34 indexed citations
12.
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
13.
Eliáš, Marek, et al.. (2018). Enhanced Ca2+ signalling and over-expression of STIM1 are characteristic of human eccrine sweat gland secretory coil cells isolated from hyperhidrotic individuals. Proceedings of The Physiological Society. 1 indexed citations
14.
Záhonová, Kristína, Romana Petrželková, Matus Valach, et al.. (2018). Extensive molecular tinkering in the evolution of the membrane attachment mode of the Rheb GTPase. Scientific Reports. 8(1). 5239–5239. 5 indexed citations
15.
Leger, Michelle M., Vojtěch Žárský, Laura Eme, et al.. (2015). An ancestral bacterial division system is widespread in eukaryotic mitochondria. Proceedings of the National Academy of Sciences. 112(33). 10239–10246. 50 indexed citations
16.
Záhonová, Kristína, et al.. (2014). A small portion of plastid transcripts is polyadenylated in the flagellate Euglena gracilis. FEBS Letters. 588(5). 783–788. 20 indexed citations
17.
18.
Eliáš, Marek, et al.. (2010). The Ras related GTPase Miro is not required for mitochondrial transport in Dictyostelium discoideum. European Journal of Cell Biology. 90(4). 342–355. 38 indexed citations
19.
Eliáš, Marek & John M. Archibald. (2009). Sizing up the genomic footprint of endosymbiosis. BioEssays. 31(12). 1273–1279. 30 indexed citations
20.
Eliáš, Marek & John M. Archibald. (2009). The RJL family of small GTPases is an ancient eukaryotic invention probably functionally associated with the flagellar apparatus. Gene. 442(1-2). 63–72. 22 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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