Pavel Bashtrykov

1.8k total citations
47 papers, 1.1k citations indexed

About

Pavel Bashtrykov is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pavel Bashtrykov has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 9 papers in Genetics and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pavel Bashtrykov's work include Epigenetics and DNA Methylation (40 papers), RNA modifications and cancer (20 papers) and Cancer-related gene regulation (16 papers). Pavel Bashtrykov is often cited by papers focused on Epigenetics and DNA Methylation (40 papers), RNA modifications and cancer (20 papers) and Cancer-related gene regulation (16 papers). Pavel Bashtrykov collaborates with scholars based in Germany, United States and United Kingdom. Pavel Bashtrykov's co-authors include Albert Jeltsch, Sergey Ragozin, Sabrina Adam, Renata Z. Jurkowska, Michael Dukatz, Gytis Jankevicius, Max Emperle, Jikui Song, Alexandra Kadl and Norbert Leitinger and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Pavel Bashtrykov

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavel Bashtrykov Germany 19 931 195 76 72 51 47 1.1k
Jongcheol Jeon South Korea 7 936 1.0× 114 0.6× 104 1.4× 60 0.8× 19 0.4× 10 1.1k
Tamiko Nishimura Canada 16 890 1.0× 104 0.5× 105 1.4× 36 0.5× 25 0.5× 24 1.1k
Sanny S.W. Chung United States 19 574 0.6× 370 1.9× 72 0.9× 55 0.8× 27 0.5× 27 1.0k
José Luis Sardina Spain 17 766 0.8× 89 0.5× 60 0.8× 141 2.0× 117 2.3× 26 1.0k
Rémi Terranova Switzerland 15 1.4k 1.5× 326 1.7× 200 2.6× 37 0.5× 31 0.6× 27 1.5k
Tomomi Miyamoto Japan 16 399 0.4× 80 0.4× 65 0.9× 83 1.2× 39 0.8× 36 701
J. Zimmer Germany 16 905 1.0× 243 1.2× 76 1.0× 41 0.6× 17 0.3× 28 1.1k
Bernd‐Joachim Thiele Germany 14 523 0.6× 67 0.3× 102 1.3× 117 1.6× 30 0.6× 16 976
Loris Bernard Italy 14 739 0.8× 210 1.1× 149 2.0× 57 0.8× 32 0.6× 23 1.1k
Takahiro Ishizuka Japan 12 557 0.6× 172 0.9× 69 0.9× 64 0.9× 12 0.2× 22 785

Countries citing papers authored by Pavel Bashtrykov

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Bashtrykov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Bashtrykov

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Bashtrykov. A scholar is included among the top collaborators of Pavel Bashtrykov 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 Pavel Bashtrykov. Pavel Bashtrykov 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.
Mayran, Alexandre, Samir Merabet, Michael Dukatz, et al.. (2025). Dual DNA demethylation mechanisms implement epigenetic memory driven by the pioneer factor PAX7. Science Advances. 11(20). eadu6632–eadu6632.
2.
Meyer, Florian, Haiqian Yang, Anja Köhler, et al.. (2024). Repeat DNA methylation is modulated by adherens junction signaling. Communications Biology. 7(1). 286–286. 2 indexed citations
3.
Weirich, Sara, et al.. (2024). SETDB1 activity is globally directed by H3K14 acetylation via its Triple Tudor Domain. Nucleic Acids Research. 52(22). 13690–13705.
4.
Bashtrykov, Pavel, et al.. (2024). Allele-specific DNA demethylation editing leads to stable upregulation of allele-specific gene expression. iScience. 27(10). 111007–111007. 2 indexed citations
5.
Emperle, Max, et al.. (2024). Specific DNMT3C flanking sequence preferences facilitate methylation of young murine retrotransposons. Communications Biology. 7(1). 582–582. 2 indexed citations
6.
Bashtrykov, Pavel, et al.. (2024). Protocol for Allele-Specific Epigenome Editing Using CRISPR/dCas9. Methods in molecular biology. 2842. 179–192. 1 indexed citations
7.
Adam, Sabrina, et al.. (2023). On the accuracy of the epigenetic copy machine: comprehensive specificity analysis of the DNMT1 DNA methyltransferase. Nucleic Acids Research. 51(13). 6622–6633. 16 indexed citations
8.
Kungulovski, Goran, et al.. (2023). Refined read‐out: The hUHRF1 Tandem‐Tudor domain prefers binding to histone H3 tails containing K4me1 in the context of H3K9me2/3. Protein Science. 32(9). e4760–e4760. 4 indexed citations
9.
Adam, Sabrina, et al.. (2022). Flanking sequences influence the activity of TET1 and TET2 methylcytosine dioxygenases and affect genomic 5hmC patterns. Communications Biology. 5(1). 92–92. 19 indexed citations
10.
Dukatz, Michael, et al.. (2022). Methylation of recombinant mononucleosomes by DNMT3A demonstrates efficient linker DNA methylation and a role of H3K36me3. Communications Biology. 5(1). 192–192. 10 indexed citations
11.
Bashtrykov, Pavel, et al.. (2022). Efficient Targeted DNA Methylation with dCas9-Coupled DNMT3A-DNMT3L Methyltransferase. Methods in molecular biology. 2577. 177–188. 4 indexed citations
12.
Jeltsch, Albert, Sabrina Adam, Michael Dukatz, Max Emperle, & Pavel Bashtrykov. (2021). Deep Enzymology Studies on DNA Methyltransferases Reveal Novel Connections between Flanking Sequences and Enzyme Activity. Journal of Molecular Biology. 433(19). 167186–167186. 19 indexed citations
13.
Gao, Linfeng, Max Emperle, Yiran Guo, et al.. (2020). Comprehensive structure-function characterization of DNMT3B and DNMT3A reveals distinctive de novo DNA methylation mechanisms. Nature Communications. 11(1). 3355–3355. 124 indexed citations
14.
Emperle, Max, Sabrina Adam, Michael Dukatz, et al.. (2019). Mutations of R882 change flanking sequence preferences of the DNA methyltransferase DNMT3A and cellular methylation patterns. Nucleic Acids Research. 47(21). 11355–11367. 46 indexed citations
15.
Jurkowska, Renata Z., Qin Su, Goran Kungulovski, et al.. (2017). H3K14ac is linked to methylation of H3K9 by the triple Tudor domain of SETDB1. Nature Communications. 8(1). 2057–2057. 62 indexed citations
16.
Bashtrykov, Pavel & Albert Jeltsch. (2017). Epigenome Editing in the Brain. Advances in experimental medicine and biology. 978. 409–424. 8 indexed citations
17.
Bashtrykov, Pavel, Gytis Jankevicius, Renata Z. Jurkowska, Sergey Ragozin, & Albert Jeltsch. (2013). The UHRF1 Protein Stimulates the Activity and Specificity of the Maintenance DNA Methyltransferase DNMT1 by an Allosteric Mechanism. Journal of Biological Chemistry. 289(7). 4106–4115. 89 indexed citations
18.
Bashtrykov, Pavel, et al.. (2012). Specificity of Dnmt1 for Methylation of Hemimethylated CpG Sites Resides in Its Catalytic Domain. Chemistry & Biology. 19(5). 572–578. 68 indexed citations
19.
Bashtrykov, Pavel, Sergey Ragozin, & Albert Jeltsch. (2012). Mechanistic details of the DNA recognition by the Dnmt1 DNA methyltransferase. FEBS Letters. 586(13). 1821–1823. 20 indexed citations
20.
Плеханова, О. С., et al.. (2006). Urokinase induces ROS production in vascular smooth muscle cells. Bulletin of Experimental Biology and Medicine. 142(3). 304–307. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jongcheol Jeon Breakdown of academic impact, for papers by Tamiko Nishimura Breakdown of academic impact, for papers by Sanny S.W. Chung Breakdown of academic impact, for papers by José Luis Sardina Breakdown of academic impact, for papers by Rémi Terranova Breakdown of academic impact, for papers by Tomomi Miyamoto Breakdown of academic impact, for papers by J. Zimmer Breakdown of academic impact, for papers by Bernd‐Joachim Thiele Breakdown of academic impact, for papers by Loris Bernard Breakdown of academic impact, for papers by Takahiro Ishizuka
Rankless by CCL
2026