Ekaterina Minskaia

1.1k total citations · 1 hit paper
22 papers, 718 citations indexed

About

Ekaterina Minskaia is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Ekaterina Minskaia has authored 22 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Immunology. Recurrent topics in Ekaterina Minskaia's work include Virus-based gene therapy research (8 papers), Animal Virus Infections Studies (5 papers) and CRISPR and Genetic Engineering (5 papers). Ekaterina Minskaia is often cited by papers focused on Virus-based gene therapy research (8 papers), Animal Virus Infections Studies (5 papers) and CRISPR and Genetic Engineering (5 papers). Ekaterina Minskaia collaborates with scholars based in Russia, United Kingdom and Portugal. Ekaterina Minskaia's co-authors include Alexander E. Gorbalenya, John Ziebuhr, Christian Cambillau, Valérie Campanacci, Bruno Canard, Martin D. Ryan, John Nicholson, João F. Lacerda, Rita I Azevedo and Ana Vieira and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and International Journal of Molecular Sciences.

In The Last Decade

Ekaterina Minskaia

20 papers receiving 706 citations

Hit Papers

Discovery of an RNA virus 3′→5′ exoribonuclease that is c... 2006 2026 2012 2019 2006 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ekaterina Minskaia Russia 9 406 226 189 100 96 22 718
Yuan Zheng China 10 320 0.8× 341 1.5× 243 1.3× 132 1.3× 101 1.1× 17 748
Pietro Giorgio Spezia Italy 14 257 0.6× 92 0.4× 206 1.1× 32 0.3× 109 1.1× 51 545
Guia Carrara United Kingdom 9 156 0.4× 171 0.8× 101 0.5× 58 0.6× 102 1.1× 12 460
Çiğdem H. Williams United Kingdom 9 288 0.7× 170 0.8× 130 0.7× 112 1.1× 58 0.6× 10 596
Marion McElwee United Kingdom 9 129 0.3× 136 0.6× 71 0.4× 56 0.6× 80 0.8× 11 476
Glen A. Farr United States 10 143 0.4× 202 0.9× 87 0.5× 25 0.3× 230 2.4× 14 466
Salvatore Di Giorgio Germany 4 190 0.5× 300 1.3× 42 0.2× 46 0.5× 34 0.4× 6 450
Efraín E. Rivera-Serrano United States 11 158 0.4× 187 0.8× 37 0.2× 97 1.0× 31 0.3× 13 420
Sujata Halder United States 12 181 0.4× 330 1.5× 131 0.7× 41 0.4× 456 4.8× 14 628
Sally M. Harrison United Kingdom 16 117 0.3× 223 1.0× 81 0.4× 57 0.6× 152 1.6× 25 591

Countries citing papers authored by Ekaterina Minskaia

Since Specialization
Citations

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

Fields of papers citing papers by Ekaterina Minskaia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ekaterina Minskaia

This figure shows the co-authorship network connecting the top 25 collaborators of Ekaterina Minskaia. A scholar is included among the top collaborators of Ekaterina Minskaia 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 Ekaterina Minskaia. Ekaterina Minskaia 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.
Reshetnikov, Vasiliy, et al.. (2025). Induced Pluripotent (iPSC) and Mesenchymal (MSC) Stem Cells for In Vitro Disease Modeling and Regenerative Medicine. International Journal of Molecular Sciences. 26(12). 5617–5617.
2.
Ivanov, Roman, et al.. (2025). Interferon-Based Therapeutics in Cancer Therapy: Past, Present, and Future. International Journal of Molecular Sciences. 26(23). 11679–11679.
4.
Reshetnikov, Vasiliy, et al.. (2025). A comprehensive analysis of induced pluripotent stem cell (iPSC) production and applications. Frontiers in Cell and Developmental Biology. 13. 1593207–1593207. 1 indexed citations
6.
Minskaia, Ekaterina, et al.. (2024). Oncolytic Vesicular Stomatitis Virus: Optimisation Strategies for Anti-Cancer Therapies. Frontiers in Bioscience-Landmark. 29(11). 374–374. 3 indexed citations
7.
Minskaia, Ekaterina, et al.. (2024). Evaluation of mesenchymal stem cells as an in vitro model for inherited retinal diseases. Frontiers in Cell and Developmental Biology. 12. 1455140–1455140. 1 indexed citations
8.
Minskaia, Ekaterina, et al.. (2024). Senolytic Vaccines from the Central and Peripheral Tolerance Perspective. Vaccines. 12(12). 1389–1389. 1 indexed citations
9.
Minskaia, Ekaterina, et al.. (2024). Protein trans-splicing: optimization of intein-mediated GFP assembly as a model for the development of gene therapy. Frontiers in Bioengineering and Biotechnology. 12. 1488912–1488912. 1 indexed citations
10.
Minskaia, Ekaterina, et al.. (2024). T-cell immunity against senescence: potential role and perspectives. Frontiers in Immunology. 15. 1360109–1360109. 7 indexed citations
11.
Minskaia, Ekaterina, et al.. (2023). Development of Recombinant Oncolytic rVSV-mIL12-mGMCSF for Cancer Immunotherapy. International Journal of Molecular Sciences. 25(1). 211–211. 9 indexed citations
12.
Minskaia, Ekaterina, et al.. (2023). Viral Vectors in Gene Replacement Therapy. Biochemistry (Moscow). 88(12-13). 2157–2178. 10 indexed citations
13.
Albuquerque, Adriana S., D. F. Young, Michael J. Ciancanelli, et al.. (2022). Partial human Janus kinase 1 deficiency predominantly impairs responses to interferon gamma and intracellular control of mycobacteria. Frontiers in Immunology. 13. 888427–888427. 9 indexed citations
14.
Minskaia, Ekaterina & João F. Lacerda. (2022). Analysis of FOXP3 DNA Methylation Patterns to Identify Functional FOXP3+ T-Cell Subpopulations. Methods in molecular biology. 2559. 115–136. 1 indexed citations
15.
Minskaia, Ekaterina, Maria V. D. Soares, Rita I Azevedo, et al.. (2018). Molecular Markers Distinguishing T Cell Subtypes With TSDR Strand-Bias Methylation. Frontiers in Immunology. 9. 2540–2540. 17 indexed citations
16.
Minskaia, Ekaterina, et al.. (2015). 133. Use of 2As To Control Protein Subcellular Localization. Molecular Therapy. 23. S54–S54. 1 indexed citations
17.
Minskaia, Ekaterina & Garry A. Luke. (2015). 2A - The âÂÂgo-toâ Technology for Transgene Co-expression. St Andrews Research Repository (St Andrews Research Repository). s1. 2 indexed citations
18.
Minskaia, Ekaterina, John Nicholson, & Martin D. Ryan. (2013). Optimisation of the foot-and-mouth disease virus 2A co-expression system for biomedical applications. BMC Biotechnology. 13(1). 67–67. 53 indexed citations
19.
Minskaia, Ekaterina & Martin D. Ryan. (2013). Protein Coexpression Using FMDV 2A: Effect of “Linker” Residues. BioMed Research International. 2013. 1–12. 56 indexed citations
20.
Minskaia, Ekaterina, Alexander E. Gorbalenya, Valérie Campanacci, et al.. (2006). Discovery of an RNA virus 3′→5′ exoribonuclease that is critically involved in coronavirus RNA synthesis. Proceedings of the National Academy of Sciences. 103(13). 5108–5113. 446 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026