Valeriya Malysheva

486 citations
9 papers · 175 indexed · h-index 5
    • Genomics and Chromatin Dynamics 7
    • Epigenetics and DNA Methylation 3
    • CRISPR and Genetic Engineering 2
    • RNA Research and Splicing 2
    • Retinal Development and Disorders 1
    • Pluripotent Stem Cells Research 1
    • Genetic Associations and Epidemiology 1
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1

Valeriya Malysheva

9 papers receiving 175 citations

Peers

Valeriya Malysheva
Comparison fields: 5 of 29
  • Molecular Biology 160
  • Developmental Neuroscience 6
  • Plant Science 39
  • Genetics 23
  • Cancer Research 12
Replace Maria Dvorkina with:
Maria Dvorkina United Kingdom
Andrew R. Field United States
Chitvan Mittal United States
Michiel J. Thiecke United Kingdom
Nadine Übelmesser Germany
Jennifer V. Gerbracht Germany
Shaoshuai Mao China
Konstantinos Sofiadis Germany
Elena Torlai Triglia Germany
Mark Mundt United States
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Citations per year

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

The 25 scholars most cited alongside Valeriya Malysheva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Valeriya Malysheva Line = papers co-authored together Valeriya Malysheva links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20251
2 20251
3 202115
4 2020109
5 201912
6 20192
7 201618
8 201615
9 20162

About Valeriya Malysheva

Valeriya Malysheva is a scholar working on Molecular Biology, Genetics and Plant Science, having authored 9 papers that have together received 175 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (2 papers), RNA Research and Splicing (2 papers), Retinal Development and Disorders (1 paper), Genetic Associations and Epidemiology (1 paper), Pluripotent Stem Cells Research (1 paper) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Molecular Biology (160 citations), Developmental Neuroscience (6 citations) and Plant Science (39 citations). Valeriya Malysheva has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Mikhail Spivakov, Steve Bevan, Gordana Wutz, Roman R. Stocsits, Tobias Neumann, Stefan Schoenfelder, Wen Tang, Peter Fraser, Matthias Muhar and Jan‐Michael Peters. Their work appears in journals such as BMC Genomics, Nature Communications, Bioinformatics, Cell Reports and Genome Research.

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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