Valeriya Malysheva

486 total citations
9 papers, 175 citations indexed

About

Valeriya Malysheva is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Valeriya Malysheva has authored 9 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Valeriya Malysheva's work include Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (3 papers) and CRISPR and Genetic Engineering (2 papers). Valeriya Malysheva is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (3 papers) and CRISPR and Genetic Engineering (2 papers). Valeriya Malysheva collaborates with scholars based in United Kingdom, France and United States. Valeriya Malysheva's co-authors include Mikhail Spivakov, Matthias Muhar, Stefan Schoenfelder, Peter Fraser, Roman R. Stocsits, Jan‐Michael Peters, Michiel J. Thiecke, Steve Bevan, Tobias Neumann and Johannes Zuber and has published in prestigious journals such as Nature Communications, Bioinformatics and Nature Protocols.

In The Last Decade

Valeriya Malysheva

9 papers receiving 175 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Valeriya Malysheva United Kingdom	5	160	39	23	12	11	9	175
Maria Dvorkina United Kingdom	3	266 1.7×	37 0.9×	34 1.5×	14 1.2×	9 0.8×	3	284
Andrew R. Field United States	6	267 1.7×	36 0.9×	27 1.2×	42 3.5×	10 0.9×	8	297
Delphine Grün Switzerland	5	136 0.8×	50 1.3×	22 1.0×	14 1.2×	8 0.7×	7	155
Dayanne M. Castro United States	4	222 1.4×	12 0.3×	17 0.7×	14 1.2×	24 2.2×	4	250
Nadine Übelmesser Germany	6	243 1.5×	58 1.5×	16 0.7×	28 2.3×	23 2.1×	6	284
Evgeniy A. Ozonov Switzerland	5	211 1.3×	27 0.7×	41 1.8×	15 1.3×	8 0.7×	10	233
Michiel J. Thiecke United Kingdom	2	162 1.0×	34 0.9×	11 0.5×	5 0.4×	19 1.7×	3	180
Oscar Velázquez Camacho Germany	5	141 0.9×	51 1.3×	20 0.9×	29 2.4×	11 1.0×	5	169
Julia Markowski Germany	3	97 0.6×	30 0.8×	27 1.2×	17 1.4×	25 2.3×	5	132
Chitvan Mittal United States	7	314 2.0×	41 1.1×	11 0.5×	9 0.8×	7 0.6×	11	330

Countries citing papers authored by Valeriya Malysheva

Since Specialization

Citations

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

Fields of papers citing papers by Valeriya Malysheva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeriya Malysheva

This figure shows the co-authorship network connecting the top 25 collaborators of Valeriya Malysheva. A scholar is included among the top collaborators of Valeriya Malysheva 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 Valeriya Malysheva. Valeriya Malysheva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Ray-Jones, Helen, Changmin Sung, Frances Burden, et al.. (2025). Genetic coupling of enhancer activity and connectivity in gene expression control. Nature Communications. 16(1). 970–970. 1 indexed citations

Stévant, Isabelle, Christopher R. Futtner, Danielle M. Maatouk, et al.. (2025). The gene regulatory landscape driving mouse gonadal supporting cell differentiation. Science Advances. 11(30). eadv1885–eadv1885. 1 indexed citations

Freire-Pritchett, Paula, Helen Ray-Jones, Chris Eijsbouts, et al.. (2021). Detecting chromosomal interactions in Capture Hi-C data with CHiCAGO and companion tools. Nature Protocols. 16(9). 4144–4176. 15 indexed citations

Thiecke, Michiel J., Gordana Wutz, Matthias Muhar, et al.. (2020). Cohesin-Dependent and -Independent Mechanisms Mediate Chromosomal Contacts between Promoters and Enhancers. Cell Reports. 32(3). 107929–107929. 109 indexed citations

Blum, Matthias, et al.. (2019). A comprehensive resource for retrieving, visualizing, and integrating functional genomics data. Life Science Alliance. 3(1). e201900546–e201900546. 2 indexed citations

Cairns, Jonathan, William R. Orchard, Valeriya Malysheva, & Mikhail Spivakov. (2019). Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data. Bioinformatics. 35(22). 4764–4766. 12 indexed citations

Mendoza-Parra, Marco Antonio, et al.. (2016). Reconstructed cell fate–regulatory programs in stem cells reveal hierarchies and key factors of neurogenesis. Genome Research. 26(11). 1505–1519. 18 indexed citations

Malysheva, Valeriya, et al.. (2016). Reconstruction of gene regulatory networks reveals chromatin remodelers and key transcription factors in tumorigenesis. Genome Medicine. 8(1). 57–57. 15 indexed citations

Mendoza-Parra, Marco Antonio, et al.. (2016). LOGIQA: a database dedicated to long-range genome interactions quality assessment. BMC Genomics. 17(1). 355–355. 2 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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