Josef Pasulka

1.2k total citations
22 papers, 681 citations indexed

About

Josef Pasulka is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Josef Pasulka has authored 22 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Oncology. Recurrent topics in Josef Pasulka's work include RNA Research and Splicing (12 papers), RNA and protein synthesis mechanisms (9 papers) and RNA modifications and cancer (7 papers). Josef Pasulka is often cited by papers focused on RNA Research and Splicing (12 papers), RNA and protein synthesis mechanisms (9 papers) and RNA modifications and cancer (7 papers). Josef Pasulka collaborates with scholars based in Czechia, United States and Croatia. Josef Pasulka's co-authors include Richard Štefl, Karel Kubíček, Dominika Hroššová, Petr Svoboda, Filip Horvat, Radek Malı́k, Fruzsina Hóbor, H Cerná, Tomáš Šikorský and Ctirad Hofr and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Josef Pasulka

21 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Josef Pasulka Czechia 13 592 105 82 60 51 22 681
Nicolas Paquet Australia 12 404 0.7× 66 0.6× 51 0.6× 23 0.4× 53 1.0× 24 496
Jiafeng Gu United States 9 664 1.1× 52 0.5× 84 1.0× 57 0.9× 72 1.4× 9 718
Magdalena Medrzycki United States 11 341 0.6× 53 0.5× 77 0.9× 28 0.5× 32 0.6× 17 425
Karen S. Champagne United States 9 853 1.4× 82 0.8× 45 0.5× 178 3.0× 67 1.3× 10 981
Jérôme Poli France 9 745 1.3× 66 0.6× 84 1.0× 19 0.3× 115 2.3× 12 799
Eléonore Toufektchan United States 8 360 0.6× 41 0.4× 102 1.2× 119 2.0× 50 1.0× 12 492
Dylan Husmann United States 7 672 1.1× 263 2.5× 45 0.5× 28 0.5× 68 1.3× 7 818
Gregory T. Booth United States 9 637 1.1× 39 0.4× 81 1.0× 30 0.5× 50 1.0× 13 709
Adrian T. Grzybowski United States 12 474 0.8× 29 0.3× 86 1.0× 35 0.6× 39 0.8× 13 535
Shanaya Shital Shah United States 6 568 1.0× 50 0.5× 76 0.9× 25 0.4× 52 1.0× 6 634

Countries citing papers authored by Josef Pasulka

Since Specialization
Citations

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

Fields of papers citing papers by Josef Pasulka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josef Pasulka

This figure shows the co-authorship network connecting the top 25 collaborators of Josef Pasulka. A scholar is included among the top collaborators of Josef Pasulka 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 Josef Pasulka. Josef Pasulka 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.
Kulmann, Marcos Iuri Roos, Martin Palus, Ales Drobek, et al.. (2025). Enhanced RNAi does not provide efficient innate antiviral immunity in mice. Nucleic Acids Research. 53(1). 1 indexed citations
2.
3.
Pasulka, Josef, Radek Malı́k, Filip Horvat, et al.. (2024). Functional canonical RNAi in mice expressing a truncated Dicer isoform and long dsRNA. EMBO Reports. 25(7). 2896–2913. 4 indexed citations
4.
Truxová, Iva, Jana Raková, Cyril Šálek, et al.. (2023). Type I interferon signaling in malignant blasts contributes to treatment efficacy in AML patients. Cell Death and Disease. 14(3). 209–209. 15 indexed citations
5.
Pasulka, Josef, et al.. (2022). De novo emergence, existence, and demise of a protein-coding gene in murids. BMC Biology. 20(1). 272–272. 3 indexed citations
6.
Fulka, J., Filip Horvat, Josef Pasulka, et al.. (2021). Formation of spermatogonia and fertile oocytes in golden hamsters requires piRNAs. Nature Cell Biology. 23(9). 992–1001. 42 indexed citations
7.
Horvat, Filip, Dávid Drutovič, Dominik Pinkas, et al.. (2020). The most abundant maternal lncRNA Sirena1 acts post-transcriptionally and impacts mitochondrial distribution. Nucleic Acids Research. 48(6). 3211–3227. 25 indexed citations
8.
Pasulka, Josef, et al.. (2019). Restricted and non-essential redundancy of RNAi and piRNA pathways in mouse oocytes. PLoS Genetics. 15(12). e1008261–e1008261. 25 indexed citations
9.
Malı́k, Radek, et al.. (2019). Main constraints for RNAi induced by expressed long dsRNA in mouse cells. Life Science Alliance. 2(1). e201800289–e201800289. 10 indexed citations
10.
Franke, Vedran, Rosa Karlić, Radek Malı́k, et al.. (2017). Long terminal repeats power evolution of genes and gene expression programs in mammalian oocytes and zygotes. Genome Research. 27(8). 1384–1394. 98 indexed citations
11.
Ustianenko, Dmytro, et al.. (2016). TUT‐DIS3L2 is a mammalian surveillance pathway for aberrant structured non‐coding RNAs. The EMBO Journal. 35(20). 2179–2191. 86 indexed citations
12.
Hroššová, Dominika, Tomáš Šikorský, David Potěšil, et al.. (2015). RBM7 subunit of the NEXT complex binds U-rich sequences and targets 3′-end extended forms of snRNAs. Nucleic Acids Research. 43(8). 4236–4248. 54 indexed citations
13.
Krepl, Miroslav, Marek Havrila, Petr Stadlbauer, et al.. (2015). Can We Execute Stable Microsecond-Scale Atomistic Simulations of Protein–RNA Complexes?. Journal of Chemical Theory and Computation. 11(3). 1220–1243. 59 indexed citations
14.
Pasulka, Josef, et al.. (2014). Structure and semi-sequence-specific RNA binding of Nrd1. Nucleic Acids Research. 42(12). 8024–8038. 10 indexed citations
15.
Šikorský, Tomáš, et al.. (2012). Recognition of asymmetrically dimethylated arginine by TDRD3. Nucleic Acids Research. 40(22). 11748–11755. 35 indexed citations
16.
Kubíček, Karel, H Cerná, Josef Pasulka, et al.. (2012). Serine phosphorylation and proline isomerization in RNAP II CTD control recruitment of Nrd1. Genes & Development. 26(17). 1891–1896. 87 indexed citations
17.
Laláková, Jana, H Cerná, Josef Pasulka, et al.. (2012). Air2p is critical for the assembly and RNA-binding of the TRAMP complex and the KOW domain of Mtr4p is crucial for exosome activation. Nucleic Acids Research. 40(12). 5679–5693. 38 indexed citations
18.
Kubíček, Karel, Josef Pasulka, H Cerná, Frank Löhr, & Richard Štefl. (2011). 1H, 13C, and 15N resonance assignments for the CTD-interacting domain of Nrd1 bound to Ser5-phosphorylated CTD of RNA polymerase II. Biomolecular NMR Assignments. 5(2). 203–205. 4 indexed citations
19.
Kubíček, Karel, et al.. (2010). 1H, 13C, and 15N chemical shift assignments for the RNA recognition motif of Nab3. Biomolecular NMR Assignments. 4(1). 119–121. 2 indexed citations
20.
Hóbor, Fruzsina, Karel Kubíček, Dominika Hroššová, et al.. (2010). Recognition of Transcription Termination Signal by the Nuclear Polyadenylated RNA-binding (NAB) 3 Protein. Journal of Biological Chemistry. 286(5). 3645–3657. 38 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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