Josef Pánek

491 total citations
21 papers, 367 citations indexed

About

Josef Pánek is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Josef Pánek has authored 21 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 3 papers in Materials Chemistry and 1 paper in Genetics. Recurrent topics in Josef Pánek's work include RNA and protein synthesis mechanisms (16 papers), RNA modifications and cancer (15 papers) and Genomics and Phylogenetic Studies (7 papers). Josef Pánek is often cited by papers focused on RNA and protein synthesis mechanisms (16 papers), RNA modifications and cancer (15 papers) and Genomics and Phylogenetic Studies (7 papers). Josef Pánek collaborates with scholars based in Czechia, Norway and Belarus. Josef Pánek's co-authors include Jiří Vohradský, Leoš Shivaya Valášek, Jiří Vohradský, Stanislava Gunišová, Rein Aasland, Ingvar Eidhammer, Béla Szamecz, Marek Basler, Karel Mikulı́k and Jan Bobek and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Josef Pánek

20 papers receiving 359 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 Pánek Czechia 10 321 35 33 30 29 21 367
Haihong Wu United States 11 624 1.9× 43 1.2× 30 0.9× 12 0.4× 30 1.0× 15 667
Allen Namath United States 4 446 1.4× 16 0.5× 52 1.6× 52 1.7× 21 0.7× 7 550
Vykintas Jauniškis Lithuania 5 293 0.9× 35 1.0× 39 1.2× 25 0.8× 7 0.2× 5 355
Ryan R. Murray United States 5 374 1.2× 13 0.4× 25 0.8× 13 0.4× 35 1.2× 5 433
Camilla Pang United Kingdom 4 346 1.1× 27 0.8× 33 1.0× 13 0.4× 22 0.8× 4 466
Yongjing Xie Ireland 9 220 0.7× 13 0.4× 56 1.7× 14 0.5× 14 0.5× 15 313
Hsien-Da Huang Taiwan 7 642 2.0× 37 1.1× 60 1.8× 15 0.5× 37 1.3× 8 737
Salvatore Cappadona Netherlands 10 375 1.2× 15 0.4× 32 1.0× 32 1.1× 168 5.8× 10 490
Mahnaz Abbasian United Kingdom 5 277 0.9× 26 0.7× 21 0.6× 9 0.3× 20 0.7× 6 403
Sylvain Pitre Canada 13 483 1.5× 16 0.5× 28 0.8× 16 0.5× 19 0.7× 16 566

Countries citing papers authored by Josef Pánek

Since Specialization
Citations

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

Fields of papers citing papers by Josef Pánek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josef Pánek

This figure shows the co-authorship network connecting the top 25 collaborators of Josef Pánek. A scholar is included among the top collaborators of Josef Pánek 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 Pánek. Josef Pánek 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.
Pánek, Josef, Archana Bairavasundaram Prusty, Nicholas C. Huston, et al.. (2023). The SMN complex drives structural changes in human snRNAs to enable snRNP assembly. Nature Communications. 14(1). 6580–6580. 12 indexed citations
2.
Shoman, Mahmoud, Dilip Kumar, Petr Halada, et al.. (2022). Ms1 RNA Interacts With the RNA Polymerase Core in Streptomyces coelicolor and Was Identified in Majority of Actinobacteria Using a Linguistic Gene Synteny Search. Frontiers in Microbiology. 13. 848536–848536. 2 indexed citations
3.
Vohradský, Jiří, et al.. (2021). rboAnalyzer webserver: web service for non-coding RNA characterization from NCBI BLAST output. Bioinformatics. 37(17). 2755–2756. 1 indexed citations
4.
Vohradský, Jiří, et al.. (2020). rboAnalyzer: A Software to Improve Characterization of Non-coding RNAs From Sequence Database Search Output. Frontiers in Genetics. 11. 675–675. 2 indexed citations
5.
Jelı́nek, Jan, et al.. (2019). rPredictorDB: a predictive database of individual secondary structures of RNAs and their formatted plots. Database. 2019. 3 indexed citations
6.
Pánek, Josef, et al.. (2018). The Sm-core mediates the retention of partially-assembled spliceosomal snRNPs in Cajal bodies until their full maturation. Nucleic Acids Research. 46(7). 3774–3790. 16 indexed citations
7.
Pánek, Josef, et al.. (2017). An Algorithm for Template-Based Prediction of Secondary Structures of Individual RNA Sequences. Frontiers in Genetics. 8. 147–147. 2 indexed citations
8.
Hronová, Vladislava, Mahabub Pasha Mohammad, Susan Wagner, et al.. (2017). Does eIF3 promote reinitiation after translation of short upstream ORFs also in mammalian cells?. RNA Biology. 14(12). 1660–1667. 43 indexed citations
9.
Pánek, Josef, Michal Kolář, Anna Herrmannová, & Leoš Shivaya Valášek. (2016). A systematic computational analysis of the rRNA–3′ UTR sequence complementarity suggests a regulatory mechanism influencing post-termination events in metazoan translation. RNA. 22(7). 957–967. 4 indexed citations
10.
Hoksza, David, et al.. (2016). Template-based prediction of RNA tertiary structure. 1897–1900. 1 indexed citations
11.
Hnilicová, Jarmila, et al.. (2014). Ms1, a novel sRNA interacting with the RNA polymerase core in mycobacteria. Nucleic Acids Research. 42(18). 11763–11776. 28 indexed citations
12.
Pánek, Josef, Jan Hajič, & David Hoksza. (2014). Template-based prediction of ribosomal RNA secondary structure. 18–20. 1 indexed citations
13.
Pánek, Josef, Michal Kolář, Jiří Vohradský, & Leoš Shivaya Valášek. (2013). An evolutionary conserved pattern of 18S rRNA sequence complementarity to mRNA 5′ UTRs and its implications for eukaryotic gene translation regulation. Nucleic Acids Research. 41(16). 7625–7634. 22 indexed citations
14.
Pánek, Josef, et al.. (2011). Translation Reinitiation Relies on the Interaction between eIF3a/TIF32 and Progressively Folded cis-Acting mRNA Elements Preceding Short uORFs. PLoS Genetics. 7(7). e1002137–e1002137. 70 indexed citations
15.
Pánek, Josef, Jan Bobek, Karel Mikulı́k, Marek Basler, & Jiří Vohradský. (2008). Biocomputational prediction of small non-coding RNAs in Streptomyces. BMC Genomics. 9(1). 217–217. 51 indexed citations
16.
Pánek, Josef, Ingvar Eidhammer, & Rein Aasland. (2007). Using hydropathy features for function prediction of membrane proteins. Molecular Membrane Biology. 24(4). 304–312. 4 indexed citations
17.
Pánek, Josef, Ingvar Eidhammer, & Rein Aasland. (2005). A new method for identification of protein (sub)families in a set of proteins based on hydropathy distribution in proteins. Proteins Structure Function and Bioinformatics. 58(4). 923–934. 38 indexed citations
18.
Pánek, Josef & Jiří Vohradský. (1999). Point pattern matching in the analysis of two-dimensional gel electropherograms. Electrophoresis. 20(18). 3483–3491. 40 indexed citations
19.
Pánek, Josef & Jiří Vohradský. (1999). Point pattern matching in the analysis of two-dimensional gel electropherograms. Electrophoresis. 20(18). 3483–3491. 2 indexed citations
20.
Vohradský, Jiří & Josef Pánek. (1993). Quantitative analysis of gel electrophoretograms by image analysis and least squares modeling. Electrophoresis. 14(1). 601–612. 25 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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