Darya Chetverina

1.1k total citations · 1 hit paper
46 papers, 676 citations indexed

About

Darya Chetverina is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Darya Chetverina has authored 46 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 15 papers in Plant Science and 5 papers in Genetics. Recurrent topics in Darya Chetverina's work include Genomics and Chromatin Dynamics (36 papers), RNA Research and Splicing (16 papers) and Epigenetics and DNA Methylation (15 papers). Darya Chetverina is often cited by papers focused on Genomics and Chromatin Dynamics (36 papers), RNA Research and Splicing (16 papers) and Epigenetics and DNA Methylation (15 papers). Darya Chetverina collaborates with scholars based in Russia, United States and France. Darya Chetverina's co-authors include Pavel Georgiev, Maksim Erokhin, Paul Schedl, Oksana Maksimenko, Olga Kyrchanova, Tsutomu Aoki, Alexander Parshikov, L. S. Melnikova, Ekaterina Savitskaya and Yegor Vassetzky and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Darya Chetverina

38 papers receiving 671 citations

Hit Papers

Transient loss of Polycom... 2024 2026 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darya Chetverina Russia 14 629 228 79 50 33 46 676
Maksim Erokhin Russia 14 527 0.8× 163 0.7× 77 1.0× 48 1.0× 32 1.0× 47 594
Ai Khim Lim Singapore 6 515 0.8× 349 1.5× 84 1.1× 58 1.2× 29 0.9× 7 575
Vladic Mogila Russia 13 591 0.9× 186 0.8× 84 1.1× 30 0.6× 29 0.9× 28 648
Artem Bonchuk Russia 14 643 1.0× 240 1.1× 71 0.9× 29 0.6× 20 0.6× 36 704
Muhammad A. Zabidi Austria 5 609 1.0× 102 0.4× 86 1.1× 41 0.8× 28 0.8× 10 662
Virginie Roure France 6 629 1.0× 212 0.9× 69 0.9× 28 0.6× 24 0.7× 7 657
Nadezda A. Fursova United Kingdom 8 664 1.1× 85 0.4× 106 1.3× 33 0.7× 22 0.7× 16 709
Alexey L. Arkov United States 13 516 0.8× 102 0.4× 108 1.4× 18 0.4× 26 0.8× 22 558
Inmaculada Hernández Spain 11 618 1.0× 190 0.8× 114 1.4× 113 2.3× 47 1.4× 20 741
Maria Lluı̈sa Espinás Spain 15 557 0.9× 131 0.6× 119 1.5× 38 0.8× 73 2.2× 21 663

Countries citing papers authored by Darya Chetverina

Since Specialization
Citations

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

Fields of papers citing papers by Darya Chetverina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darya Chetverina

This figure shows the co-authorship network connecting the top 25 collaborators of Darya Chetverina. A scholar is included among the top collaborators of Darya Chetverina 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 Darya Chetverina. Darya Chetverina 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.
Колесникова, Т. Д., M. Yu. Mazina, А. Н. Краснов, et al.. (2025). Transcriptional induction by ecdysone in Drosophila salivary glands involves an increase in chromatin accessibility and acetylation. Nucleic Acids Research. 53(7).
2.
Loubière, Vincent, Bernd Schuettengruber, Lauriane Fritsch, et al.. (2024). Transient loss of Polycomb components induces an epigenetic cancer fate. Nature. 629(8012). 688–696. 69 indexed citations breakdown →
3.
Erokhin, Maksim, J. Lesley Brown, Nadezhda E. Vorobyeva, et al.. (2023). Crol contributes to PRE-mediated repression and Polycomb group proteins recruitment inDrosophila. Nucleic Acids Research. 51(12). 6087–6100. 6 indexed citations
4.
Erokhin, Maksim, et al.. (2023). Polycomb Recruiters Inside and Outside of the Repressed Domains. International Journal of Molecular Sciences. 24(14). 11394–11394.
5.
Краснов, А. Н., et al.. (2023). Coregulators Reside within Drosophila Ecdysone-Inducible Loci before and after Ecdysone Treatment. International Journal of Molecular Sciences. 24(14). 11844–11844. 4 indexed citations
6.
Chetverina, Darya, Nadezhda E. Vorobyeva, Balázs Győrffy, Аlexander А. Shtil, & Maksim Erokhin. (2023). Analyses of Genes Critical to Tumor Survival Reveal Potential ‘Supertargets’: Focus on Transcription. Cancers. 15(11). 3042–3042. 4 indexed citations
7.
Chetverina, Darya, Maksim Erokhin, & Paul Schedl. (2021). GAGA factor: a multifunctional pioneering chromatin protein. Cellular and Molecular Life Sciences. 78(9). 4125–4141. 31 indexed citations
8.
Erokhin, Maksim, et al.. (2021). Sfmbt Co-purifies with Hangover and SWI/SNF-Remodelers in Drosophila melanogaster. Doklady Biochemistry and Biophysics. 500(1). 304–307.
9.
Erokhin, Maksim, M. Yu. Mazina, Nadezhda E. Vorobyeva, et al.. (2021). Boundaries potentiate polycomb response element-mediated silencing. BMC Biology. 19(1). 113–113. 13 indexed citations
10.
Chetverina, Darya, et al.. (2020). Polycomb and Trithorax Group Proteins: The Long Road from Mutations in Drosophila to Use in Medicine. Acta Naturae. 12(4). 66–85. 12 indexed citations
11.
Melnikova, L. S., et al.. (2019). The same domain of Su(Hw) is required for enhancer blocking and direct promoter repression. Scientific Reports. 9(1). 5314–5314. 12 indexed citations
12.
Erokhin, Maksim, et al.. (2019). Effect of Transcription on the white Gene Enhancer Integrated into the Intron. Doklady Biochemistry and Biophysics. 484(1). 45–47. 1 indexed citations
13.
Chetverina, Darya, L. S. Melnikova, Ashutosh Srivastava, et al.. (2019). Activation of Su(Hw)-Controlled Genes Is Associated with Increase in GAF Binding. Doklady Biochemistry and Biophysics. 488(1). 293–295.
14.
Erokhin, Maksim, James J. Moresco, Daniel Wolle, et al.. (2017). The GAGA factor regulatory network: Identification of GAGA factor associated proteins. PLoS ONE. 12(3). e0173602–e0173602. 32 indexed citations
15.
Chetverina, Darya, et al.. (2017). PRE/TRE elements act as transcription activators in Drosophila S2 Cells. Doklady Biochemistry and Biophysics. 472(1). 68–70. 4 indexed citations
16.
Chetverina, Darya, et al.. (2015). SV40 transcription terminators stabilize the activity of regulatory elements in Drosophila melanogaster. Doklady Biochemistry and Biophysics. 463(1). 251–254. 1 indexed citations
17.
Chetverina, Darya, Tsutomu Aoki, Maksim Erokhin, Pavel Georgiev, & Paul Schedl. (2013). Making connections: Insulators organize eukaryotic chromosomes into independent cisregulatory networks. BioEssays. 36(2). 163–172. 77 indexed citations
18.
Erokhin, Maksim, Alexander Parshikov, Pavel Georgiev, & Darya Chetverina. (2010). E(y)2/Sus1 is required for blocking PRE silencing by the Wari insulator in Drosophila melanogaster. Chromosoma. 119(3). 243–253. 12 indexed citations
19.
Erokhin, Maksim, Pavel Georgiev, & Darya Chetverina. (2009). Creation of a new system to study insulators in Drosophila melanogaster. Doklady Biochemistry and Biophysics. 428(1). 229–231. 1 indexed citations
20.
Chetverina, Darya, Ekaterina Savitskaya, Oksana Maksimenko, et al.. (2007). Red flag on the white reporter: a versatile insulator abuts the white gene in Drosophila and is omnipresent in mini-white constructs. Nucleic Acids Research. 36(3). 929–937. 39 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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