Ilya Patrushev

621 total citations
12 papers, 435 citations indexed

About

Ilya Patrushev is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ilya Patrushev has authored 12 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Developmental Neuroscience and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Ilya Patrushev's work include Genomics and Chromatin Dynamics (3 papers), Genomics and Phylogenetic Studies (2 papers) and RNA Research and Splicing (2 papers). Ilya Patrushev is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), Genomics and Phylogenetic Studies (2 papers) and RNA Research and Splicing (2 papers). Ilya Patrushev collaborates with scholars based in United Kingdom, United States and Tanzania. Ilya Patrushev's co-authors include Michael J. Gilchrist, Nick Owens, Ken W.Y. Cho, Ira L. Blitz, Mustafa K. Khokha, Maura Lane, John D. Overton, V.I. Popov, M.L. Er̀rington and Vadim V. Rogachevsky and has published in prestigious journals such as PLoS ONE, Development and Neuroscience.

In The Last Decade

Ilya Patrushev

12 papers receiving 432 citations

Peers

Ilya Patrushev
Monica Dines Israel
Madeleine Kyrke‐Smith New Zealand
Thomas J Ha United States
Katarina Kapuralin Croatia
Josephine M. Hermans Netherlands
Chantal Francis United States
Gregory J. Robinson Australia
Charles Limouse United States
Jennifer E. Bestman United States
Gabriela O. Bodea Australia
Monica Dines Israel
Ilya Patrushev
Citations per year, relative to Ilya Patrushev Ilya Patrushev (= 1×) peers Monica Dines

Countries citing papers authored by Ilya Patrushev

Since Specialization
Citations

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

Fields of papers citing papers by Ilya Patrushev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Patrushev

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

All Works

12 of 12 papers shown
1.
Palacios‐Callender, Miriam, Rosana Muñoz, Paula G. Slater, et al.. (2021). Analysis of the early response to spinal cord injury identified a key role for mTORC1 signaling in the activation of neural stem progenitor cells. npj Regenerative Medicine. 6(1). 68–68. 8 indexed citations
2.
Patrushev, Ilya, Christina James‐Zorn, Aldo Ciau‐Uitz, Roger Patient, & Michael J. Gilchrist. (2018). New methods for computational decomposition of whole-mount in situ images enable effective curation of a large, highly redundant collection of Xenopus images. PLoS Computational Biology. 14(8). e1006077–e1006077. 1 indexed citations
3.
Owens, Nick, Ira L. Blitz, Maura Lane, et al.. (2016). Measuring Absolute RNA Copy Numbers at High Temporal Resolution Reveals Transcriptome Kinetics in Development. Cell Reports. 14(3). 632–647. 132 indexed citations
4.
Blitz, Ira L., et al.. (2016). A catalog of Xenopus tropicalis transcription factors and their regional expression in the early gastrula stage embryo. Developmental Biology. 426(2). 409–417. 25 indexed citations
5.
Gentsch, George E., Ilya Patrushev, & James C. Smith. (2015). Genome-wide Snapshot of Chromatin Regulators and States in <em>Xenopus</em> Embryos by ChIP-Seq. Journal of Visualized Experiments. 10 indexed citations
6.
Gentsch, George E., Ilya Patrushev, & James C. Smith. (2015). Genome-wide Snapshot of Chromatin Regulators and States in <em>Xenopus</em> Embryos by ChIP-Seq. Journal of Visualized Experiments. 1 indexed citations
7.
Gilchrist, Michael J., Daniel Sobral, Pierre Khoueiry, et al.. (2015). A pipeline for the systematic identification of non-redundant full-ORF cDNAs for polymorphic and evolutionary divergent genomes: Application to the ascidian Ciona intestinalis. Developmental Biology. 404(2). 149–163. 17 indexed citations
8.
Moxon, Simon, Sara López-Gomollón, Matthew L. Tomlinson, et al.. (2015). A Database of microRNA Expression Patterns in Xenopus laevis. PLoS ONE. 10(10). e0138313–e0138313. 21 indexed citations
9.
Grant, Ian, Dawit Balcha, Tong Hao, et al.. (2015). The Xenopus ORFeome: A resource that enables functional genomics. Developmental Biology. 408(2). 345–357. 27 indexed citations
10.
Collart, Clara, Nick Owens, Leena Bhaw, et al.. (2014). High-resolution analysis of gene activity during the Xenopus mid-blastula transition. Development. 141(9). 1927–1939. 79 indexed citations
11.
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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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2026