E. Svidritskiy

600 total citations
14 papers, 390 citations indexed

About

E. Svidritskiy is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, E. Svidritskiy has authored 14 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Oncology. Recurrent topics in E. Svidritskiy's work include RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (8 papers) and RNA Research and Splicing (7 papers). E. Svidritskiy is often cited by papers focused on RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (8 papers) and RNA Research and Splicing (7 papers). E. Svidritskiy collaborates with scholars based in United States, Czechia and Belgium. E. Svidritskiy's co-authors include А.A. Коростелев, Gabriel Demo, Dmitri N. Ermolenko, Nikolaus Grigorieff, Cha San Koh, Axel F. Brilot, A.B. Loveland, Fen‐Biao Gao, Sarah N. Zvornicanin and Xu Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

E. Svidritskiy

13 papers receiving 389 citations

Peers

E. Svidritskiy
Nathan Palmer United States
Pilar Martín-Marcos United States
P. Daniela Garcia United States
James Ahad United States
Andrea Haag Switzerland
Prajit Limsirichai United States
E. Svidritskiy
Citations per year, relative to E. Svidritskiy E. Svidritskiy (= 1×) peers Kodai Machida

Countries citing papers authored by E. Svidritskiy

Since Specialization
Citations

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

Fields of papers citing papers by E. Svidritskiy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Svidritskiy

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

All Works

14 of 14 papers shown
1.
Hoorick, Diane Van, Joseph D. Batchelor, E. Svidritskiy, et al.. (2025). Identification and Nonclinical Characterization of SAR444200, a Novel Anti-GPC3 NANOBODY T-cell Engager, for the Treatment of GPC3+ Solid Tumors. Molecular Cancer Therapeutics. 25(3). 361–370. 1 indexed citations
2.
Loveland, A.B., E. Svidritskiy, Soojin Lee, et al.. (2022). Ribosome inhibition by C9ORF72-ALS/FTD-associated poly-PR and poly-GR proteins revealed by cryo-EM. Nature Communications. 13(1). 2776–2776. 44 indexed citations
4.
Demo, Gabriel, Howard Gamper, A.B. Loveland, et al.. (2021). Structural basis for +1 ribosomal frameshifting during EF-G-catalyzed translocation. Nature Communications. 12(1). 4644–4644. 19 indexed citations
5.
Demo, Gabriel, et al.. (2020). ArfB can displace mRNA to rescue stalled ribosomes. Nature Communications. 11(1). 5552–5552. 15 indexed citations
6.
Svidritskiy, E., Gabriel Demo, A.B. Loveland, Xu Chen, & А.A. Коростелев. (2019). Extensive ribosome and RF2 rearrangements during translation termination. eLife. 8. 26 indexed citations
7.
Svidritskiy, E., Gabriel Demo, & А.A. Коростелев. (2018). Mechanism of premature translation termination on a sense codon. Journal of Biological Chemistry. 293(32). 12472–12479. 22 indexed citations
8.
Svidritskiy, E. & А.A. Коростелев. (2018). Mechanism of Inhibition of Translation Termination by Blasticidin S. Journal of Molecular Biology. 430(5). 591–593. 18 indexed citations
9.
Svidritskiy, E. & А.A. Коростелев. (2018). Conformational Control of Translation Termination on the 70S Ribosome. Structure. 26(6). 821–828.e3. 20 indexed citations
10.
Demo, Gabriel, E. Svidritskiy, Rubén Díaz-Avalos, et al.. (2017). Mechanism of ribosome rescue by ArfA and RF2. eLife. 6. 36 indexed citations
11.
Svidritskiy, E., et al.. (2016). Structural Basis for Translation Termination on a Pseudouridylated Stop Codon. Journal of Molecular Biology. 428(10). 2228–2236. 27 indexed citations
12.
Svidritskiy, E. & А.A. Коростелев. (2015). Ribosome Structure Reveals Preservation of Active Sites in the Presence of a P-Site Wobble Mismatch. Structure. 23(11). 2155–2161. 13 indexed citations
13.
Svidritskiy, E., Axel F. Brilot, Cha San Koh, Nikolaus Grigorieff, & А.A. Коростелев. (2014). Structures of Yeast 80S Ribosome-tRNA Complexes in the Rotated and Nonrotated Conformations. Structure. 22(8). 1210–1218. 69 indexed citations
14.
Svidritskiy, E., et al.. (2013). Blasticidin S inhibits translation by trapping deformed tRNA on the ribosome. Proceedings of the National Academy of Sciences. 110(30). 12283–12288. 80 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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