Petr Folk

680 total citations
28 papers, 526 citations indexed

About

Petr Folk is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Petr Folk has authored 28 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in Petr Folk's work include RNA Research and Splicing (8 papers), Fungal and yeast genetics research (6 papers) and RNA modifications and cancer (5 papers). Petr Folk is often cited by papers focused on RNA Research and Splicing (8 papers), Fungal and yeast genetics research (6 papers) and RNA modifications and cancer (5 papers). Petr Folk collaborates with scholars based in Czechia, United States and Germany. Petr Folk's co-authors include František Půta, Michal Skružný, Jan Brábek, Daniel Rösel, Ondřej Tolde, Pavel Veselý, Martin Převorovský, Ondřej Gahura, A Strunecká and Christian Hammann and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Petr Folk

28 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Petr Folk Czechia 14 362 166 70 60 52 28 526
Ridhdhi Desai Canada 7 408 1.1× 192 1.2× 96 1.4× 33 0.6× 42 0.8× 9 524
Virginia Tajadura United Kingdom 9 350 1.0× 159 1.0× 42 0.6× 47 0.8× 43 0.8× 9 454
Marcus M. Nalaskowski Germany 14 495 1.4× 170 1.0× 50 0.7× 69 1.1× 15 0.3× 25 634
Anne‐Sophie Macé France 10 185 0.5× 124 0.7× 40 0.6× 45 0.8× 13 0.3× 17 299
Michael A. White United States 5 388 1.1× 108 0.7× 88 1.3× 18 0.3× 14 0.3× 5 465
Christopher D. Heger United States 8 243 0.7× 75 0.5× 74 1.1× 26 0.4× 51 1.0× 16 375
Akanksha Gangar United States 10 423 1.2× 289 1.7× 31 0.4× 30 0.5× 14 0.3× 12 500
Masaru Mitsushima Japan 12 344 1.0× 298 1.8× 39 0.6× 17 0.3× 14 0.3× 13 504
Michaela Niessen Germany 5 447 1.2× 109 0.7× 134 1.9× 93 1.6× 7 0.1× 6 569
Holly Sundberg United States 9 625 1.7× 328 2.0× 236 3.4× 87 1.4× 31 0.6× 9 728

Countries citing papers authored by Petr Folk

Since Specialization
Citations

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

Fields of papers citing papers by Petr Folk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Folk

This figure shows the co-authorship network connecting the top 25 collaborators of Petr Folk. A scholar is included among the top collaborators of Petr Folk 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 Petr Folk. Petr Folk 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.
Převorovský, Martin, et al.. (2018). Introns provide a platform for intergenic regulatory feedback of RPL22 paralogs in yeast. PLoS ONE. 13(1). e0190685–e0190685. 8 indexed citations
2.
Gahura, Ondřej, et al.. (2017). Nineteen complex–related factor Prp45 is required for the early stages of cotranscriptional spliceosome assembly. RNA. 23(10). 1512–1524. 7 indexed citations
3.
Převorovský, Martin, et al.. (2016). Workflow for Genome-Wide Determination of Pre-mRNA Splicing Efficiency from Yeast RNA-seq Data. BioMed Research International. 2016. 1–9. 9 indexed citations
4.
Převorovský, Martin, et al.. (2015). Fission Yeast CSL Transcription Factors: Mapping Their Target Genes and Biological Roles. PLoS ONE. 10(9). e0137820–e0137820. 17 indexed citations
5.
Půta, František, et al.. (2013). Fission Yeast CSL Proteins Function as Transcription Factors. PLoS ONE. 8(3). e59435–e59435. 6 indexed citations
6.
Tolde, Ondřej & Petr Folk. (2011). Stress-induced expression of p53 target genes is insensitive to SNW1/SKIP downregulation. Cellular & Molecular Biology Letters. 16(3). 373–84. 5 indexed citations
7.
Gahura, Ondřej, et al.. (2011). Secondary structure is required for 3′ splice site recognition in yeast. Nucleic Acids Research. 39(22). 9759–9767. 40 indexed citations
8.
Převorovský, Martin, Sophie Atkinson, Janel R. McLean, et al.. (2011). N-Termini of Fungal CSL Transcription Factors Are Disordered, Enriched in Regulatory Motifs and Inhibit DNA Binding in Fission Yeast. PLoS ONE. 6(8). e23650–e23650. 7 indexed citations
9.
Tolde, Ondřej, Daniel Rösel, Pavel Veselý, Petr Folk, & Jan Brábek. (2010). The structure of invadopodia in a complex 3D environment. European Journal of Cell Biology. 89(9). 674–680. 65 indexed citations
10.
Veselý, Pavel, Daniel Rösel, Daniela Paňková, et al.. (2009). Confocal microscopy reveals Myzitiras and Vthela morphotypes as new signatures of malignancy progression. Scanning. 31(3). 102–106. 1 indexed citations
11.
Gahura, Ondřej, et al.. (2008). Prp45 affects Prp22 partition in spliceosomal complexes and splicing efficiency of non‐consensus substrates. Journal of Cellular Biochemistry. 106(1). 139–151. 31 indexed citations
12.
Převorovský, Martin, Tomáš Groušl, Jan Ryneš, et al.. (2008). Cbf11 and Cbf12, the fission yeast CSL proteins, play opposing roles in cell adhesion and coordination of cell and nuclear division. Experimental Cell Research. 315(8). 1533–1547. 22 indexed citations
13.
Převorovský, Martin, František Půta, & Petr Folk. (2007). Fungal CSL transcription factors. BMC Genomics. 8(1). 233–233. 16 indexed citations
14.
Brábek, Jan, et al.. (2002). The Regulatory Region of Prague C v-Src Inhibits the Activity of the Schmidt-Ruppin A v-Src Kinase Domain. Folia Biologica. 48(1). 28–33. 2 indexed citations
15.
Brábek, Jan, Dominik Mojžita, Marián Novotný, František Půta, & Petr Folk. (2002). The SH3 domain of Src can downregulate its kinase activity in the absence of the SH2 domain-pY527 interaction. Biochemical and Biophysical Research Communications. 296(3). 664–670. 14 indexed citations
16.
Skružný, Michal, et al.. (2002). Functional Mapping of Saccharomyces cerevisiae Prp45 Identifies the SNW Domain as Essential for Viability. The Journal of Biochemistry. 132(4). 557–563. 13 indexed citations
17.
Rösel, Daniel, et al.. (2000). Molecular characterization of a calmodulin‐like Dictyostelium protein CalB. FEBS Letters. 473(3). 323–327. 16 indexed citations
18.
Folk, Petr, et al.. (1996). The homolog of chromatin binding protein Bx42 identified in Dictyostelium. Gene. 181(1-2). 229–231. 19 indexed citations
19.
Folk, Petr, Jing Dong, & James L. Wittliff. (1992). Simultaneous identification of estrogen and progesterone receptors by HPLC using a double isotope assay. The Journal of Steroid Biochemistry and Molecular Biology. 42(2). 141–150. 2 indexed citations
20.
Folk, Petr, et al.. (1988). 35S‐labelled thiophosphorylated derivative of inositol trisphosphate. Journal of Labelled Compounds and Radiopharmaceuticals. 25(7). 793–803. 8 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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