Štěpánka Vaňáčová

1.3k total citations
22 papers, 1.1k citations indexed

About

Štěpánka Vaňáčová is a scholar working on Molecular Biology, Microbiology and Parasitology. According to data from OpenAlex, Štěpánka Vaňáčová has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Microbiology and 5 papers in Parasitology. Recurrent topics in Štěpánka Vaňáčová's work include RNA and protein synthesis mechanisms (9 papers), RNA Research and Splicing (9 papers) and RNA modifications and cancer (8 papers). Štěpánka Vaňáčová is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), RNA Research and Splicing (9 papers) and RNA modifications and cancer (8 papers). Štěpánka Vaňáčová collaborates with scholars based in Czechia, United States and France. Štěpánka Vaňáčová's co-authors include Diana Blank, Georges Martín, Gérard Keith, Walter Keller, Arno Friedlein, Hanno Langen, Jaroslav Flegr, Jaroslav Kulda, Vladimı́r Hampl and Jan Tachezy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Molecular Cell.

In The Last Decade

Štěpánka Vaňáčová

22 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Štěpánka Vaňáčová Czechia 13 731 195 191 111 76 22 1.1k
Alex C. Jeffries United Kingdom 13 449 0.6× 114 0.6× 198 1.0× 103 0.9× 110 1.4× 16 792
Xuepeng Cai China 11 206 0.3× 183 0.9× 21 0.1× 157 1.4× 33 0.4× 27 483
Bernadette Connolly United Kingdom 15 502 0.7× 270 1.4× 16 0.1× 209 1.9× 95 1.3× 30 900
Sergio Montaner-Tarbés Spain 7 219 0.3× 93 0.5× 23 0.1× 64 0.6× 13 0.2× 9 399
Lawrence Hunt United Kingdom 15 225 0.3× 108 0.6× 48 0.3× 10 0.1× 31 0.4× 17 836
Glauco José Nogueira de Galiza Brazil 14 144 0.2× 97 0.5× 28 0.1× 28 0.3× 55 0.7× 84 565
J. O. Carlson United States 19 416 0.6× 45 0.2× 13 0.1× 50 0.5× 118 1.6× 42 1.1k
Mona Byström Sweden 16 930 1.3× 41 0.2× 67 0.4× 321 2.9× 16 0.2× 25 1.2k
Michaela Dehio Switzerland 11 288 0.4× 261 1.3× 114 0.6× 70 0.6× 47 0.6× 11 852
Guanggang Qu China 9 173 0.2× 44 0.2× 51 0.3× 33 0.3× 39 0.5× 35 427

Countries citing papers authored by Štěpánka Vaňáčová

Since Specialization
Citations

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

Fields of papers citing papers by Štěpánka Vaňáčová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Štěpánka Vaňáčová

This figure shows the co-authorship network connecting the top 25 collaborators of Štěpánka Vaňáčová. A scholar is included among the top collaborators of Štěpánka Vaňáčová 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 Štěpánka Vaňáčová. Štěpánka Vaňáčová 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.
Stejskal, Stanislav, Helena Covelo‐Molares, Paul E. Reyes‐Gutiérrez, et al.. (2025). Global analysis by LC-MS/MS of N6 -methyladenosine and inosine in mRNA reveal complex incidence. RNA. 31(4). 514–528. 3 indexed citations
2.
Zhou, You, Nadine Körtel, H. Back, et al.. (2024). m6A sites in the coding region trigger translation-dependent mRNA decay. Molecular Cell. 84(23). 4576–4593.e12. 22 indexed citations
3.
Ishemgulova, Aygul, Pavel Payne, Jana Moravcová, et al.. (2024). Endosome rupture enables enteroviruses from the family Picornaviridae to infect cells. Communications Biology. 7(1). 1465–1465. 1 indexed citations
4.
Rodríguez‐Galán, Ana, Lola Fernández‐Messina, Irene Fernández‐Delgado, et al.. (2023). ISG20L2: an RNA nuclease regulating T cell activation. Cellular and Molecular Life Sciences. 80(9). 273–273. 2 indexed citations
5.
Vaňáčová, Štěpánka, et al.. (2020). DIS3L2 and LSm proteins are involved in the surveillance of Sm ring-deficient snRNAs. Nucleic Acids Research. 48(11). 6184–6197. 10 indexed citations
6.
LaCava, John & Štěpánka Vaňáčová. (2020). The Eukaryotic RNA Exosome : Methods and Protocols. Data Archiving and Networked Services (DANS). 2062. 1 indexed citations
7.
LaCava, John & Štěpánka Vaňáčová. (2019). The Eukaryotic RNA Exosome. Methods in molecular biology. 3 indexed citations
8.
Yadav, Deepak Kumar, et al.. (2019). Staufen1 reads out structure and sequence features in ARF1 dsRNA for target recognition. Nucleic Acids Research. 48(4). 2091–2106. 22 indexed citations
9.
Vaňáčová, Štěpánka, et al.. (2018). The role of 3′ end uridylation in RNA metabolism and cellular physiology. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1762). 20180171–20180171. 30 indexed citations
10.
Vaňáčová, Štěpánka, Weihong Yan, Jane M. Carlton, & Patricia J. Johnson. (2005). Spliceosomal introns in the deep-branching eukaryote Trichomonas vaginalis. Proceedings of the National Academy of Sciences. 102(12). 4430–4435. 77 indexed citations
11.
Vaňáčová, Štěpánka, Georges Martín, Diana Blank, et al.. (2005). A New Yeast Poly(A) Polymerase Complex Involved in RNA Quality Control. PLoS Biology. 3(6). e189–e189. 483 indexed citations
12.
Vaňáčová, Štěpánka, et al.. (2005). Spliceosomal introns in a deep-branching eukaryote. 102(12). 1 indexed citations
13.
Doležal, Pavel, Štěpánka Vaňáčová, Jan Tachezy, & Ivan Hrdý. (2004). Malic enzymes of Trichomonas vaginalis: two enzyme families, two distinct origins. Gene. 329. 81–92. 27 indexed citations
14.
Tachezy, Jan, Ruth Tachezy, Vladimı́r Hampl, et al.. (2002). Cattle Pathogen Tritrichomonas foetus (Riedmüller, 1928) and Pig Commensal Tritrichomonas suis (Gruby & Delafond, 1843) Belong to the Same Species. Journal of Eukaryotic Microbiology. 49(2). 154–163. 76 indexed citations
15.
Dvořák, Jan, Štěpánka Vaňáčová, Vladimı́r Hampl, Jaroslav Flegr, & Petr Horák. (2002). Comparison of European Trichobilharzia species based on ITS1 and ITS2 sequences. Parasitology. 124(3). 307–313. 79 indexed citations
16.
Vaňáčová, Štěpánka. (2001). Unusual diversity in α-amanitin sensitivity of RNA polymerases in trichomonads. Molecular and Biochemical Parasitology. 115(2). 239–247. 10 indexed citations
17.
Gerbod, Delphine, Virginia P. Edgcomb, Christophe Noël, et al.. (2001). Phylogenetic Relationships of Class II Fumarase Genes from Trichomonad Species. Molecular Biology and Evolution. 18(8). 1574–1584. 11 indexed citations
18.
Vaňáčová, Štěpánka, et al.. (2001). Iron-induced changes in pyruvate metabolism of Tritrichomonas foetus and involvement of iron in expression of hydrogenosomal proteins. Microbiology. 147(1). 53–62. 49 indexed citations
19.
Hampl, Vladimı́r, Štěpánka Vaňáčová, Jaroslav Kulda, & Jaroslav Flegr. (2001). Concordance between genetic relatedness and phenotypic similarities of Trichomonas vaginalis strains. BMC Evolutionary Biology. 1(1). 11–11. 44 indexed citations
20.
Vaňáčová, Štěpánka, Jan Tachezy, Jaroslav Kulda, & Jaroslav Flegr. (1997). Characterization of Trichomonad Species and Strains by PCR Fingerprinting. Journal of Eukaryotic Microbiology. 44(6). 545–552. 60 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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