Galina A. Zhouravleva

2.2k total citations
80 papers, 1.7k citations indexed

About

Galina A. Zhouravleva is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Galina A. Zhouravleva has authored 80 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 15 papers in Physiology and 7 papers in Neurology. Recurrent topics in Galina A. Zhouravleva's work include RNA Research and Splicing (35 papers), Prion Diseases and Protein Misfolding (31 papers) and RNA and protein synthesis mechanisms (28 papers). Galina A. Zhouravleva is often cited by papers focused on RNA Research and Splicing (35 papers), Prion Diseases and Protein Misfolding (31 papers) and RNA and protein synthesis mechanisms (28 papers). Galina A. Zhouravleva collaborates with scholars based in Russia, France and United States. Galina A. Zhouravleva's co-authors include С. Г. Инге-Вечтомов, M. Philippe, Ludmila Frolova, Lev L. Kisselev, Xavier Le Goff, Michel Philippe, René Le Guellec, Svetlana Chabelskaya, Stanislav A. Bondarev and Denis A. Kiktev and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Galina A. Zhouravleva

76 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Galina A. Zhouravleva Russia 19 1.5k 162 149 129 91 80 1.7k
Susanne Liemann Germany 17 1.4k 0.9× 388 2.4× 99 0.7× 472 3.7× 131 1.4× 21 1.6k
Janet E. McCombs United States 15 1.1k 0.7× 17 0.1× 139 0.9× 70 0.5× 59 0.6× 21 1.4k
Baruch Z. Harris United States 10 833 0.5× 67 0.4× 40 0.3× 21 0.2× 135 1.5× 11 1.2k
Christine von Schroetter Switzerland 15 1.8k 1.2× 672 4.1× 173 1.2× 709 5.5× 56 0.6× 17 2.0k
Stanley B. Prusiner United States 14 1.5k 1.0× 800 4.9× 144 1.0× 643 5.0× 77 0.8× 16 1.7k
Manuel Morillas United States 12 1.4k 0.9× 517 3.2× 189 1.3× 579 4.5× 37 0.4× 14 1.5k
Wilhelm A. Weihofen United States 17 668 0.4× 31 0.2× 48 0.3× 60 0.5× 142 1.6× 24 1.1k
A. Dong United States 6 1.0k 0.7× 355 2.2× 91 0.6× 333 2.6× 50 0.5× 8 1.1k
Tomomi Kimura‐Someya Japan 17 486 0.3× 73 0.5× 67 0.4× 18 0.1× 110 1.2× 28 869
Ewa A. Bienkiewicz United States 13 548 0.4× 28 0.2× 74 0.5× 42 0.3× 34 0.4× 20 722

Countries citing papers authored by Galina A. Zhouravleva

Since Specialization
Citations

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

Fields of papers citing papers by Galina A. Zhouravleva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Galina A. Zhouravleva. 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 Galina A. Zhouravleva. The network helps show where Galina A. Zhouravleva may publish in the future.

Co-authorship network of co-authors of Galina A. Zhouravleva

This figure shows the co-authorship network connecting the top 25 collaborators of Galina A. Zhouravleva. A scholar is included among the top collaborators of Galina A. Zhouravleva 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 Galina A. Zhouravleva. Galina A. Zhouravleva 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.
2.
Barbitoff, Yury A., et al.. (2024). Gene Expression Analysis of Yeast Strains with a Nonsense Mutation in the eRF3-Coding Gene Highlights Possible Mechanisms of Adaptation. International Journal of Molecular Sciences. 25(12). 6308–6308. 1 indexed citations
3.
Bondarev, Stanislav A., et al.. (2024). AmyloComp: A Bioinformatic Tool for Prediction of Amyloid Co-aggregation. Journal of Molecular Biology. 436(17). 168437–168437. 5 indexed citations
4.
Zhouravleva, Galina A., et al.. (2023). Identification of New FG-Repeat Nucleoporins with Amyloid Properties. International Journal of Molecular Sciences. 24(10). 8571–8571. 4 indexed citations
5.
Zhouravleva, Galina A., et al.. (2023). How Big Is the Yeast Prion Universe?. International Journal of Molecular Sciences. 24(14). 11651–11651. 2 indexed citations
6.
Barbitoff, Yury A., et al.. (2022). Differential Interactions of Molecular Chaperones and Yeast Prions. Journal of Fungi. 8(2). 122–122. 5 indexed citations
7.
Barbitoff, Yury A., et al.. (2022). Processing of Fluorescent Proteins May Prevent Detection of Prion Particles in [PSI+] Cells. Biology. 11(12). 1688–1688. 1 indexed citations
8.
Zhouravleva, Galina A., et al.. (2022). NOS1AP Interacts with α-Synuclein and Aggregates in Yeast and Mammalian Cells. International Journal of Molecular Sciences. 23(16). 9102–9102. 7 indexed citations
9.
Barbitoff, Yury A., et al.. (2021). Gene Amplification as a Mechanism of Yeast Adaptation to Nonsense Mutations in Release Factor Genes. Genes. 12(12). 2019–2019. 4 indexed citations
10.
Belousov, M. V., et al.. (2021). The Human NUP58 Nucleoporin Can Form Amyloids In Vitro and In Vivo. Biomedicines. 9(10). 1451–1451. 6 indexed citations
11.
Bondarev, Stanislav A., et al.. (2021). Direct proof of the amyloid nature of yeast prions [PSI+] and [PIN+] by the method of immunoprecipitation of native fibrils. FEMS Yeast Research. 21(6). 5 indexed citations
12.
13.
Barbitoff, Yury A., M. V. Belousov, Jérémy Leclercq, et al.. (2020). Estimation of amyloid aggregate sizes with semi-denaturing detergent agarose gel electrophoresis and its limitations. Prion. 14(1). 118–128. 11 indexed citations
14.
Barbitoff, Yury A., et al.. (2020). Amyloid and Amyloid-Like Aggregates: Diversity and the Term Crisis. Biochemistry (Moscow). 85(9). 1011–1034. 18 indexed citations
15.
Bondarev, Stanislav A., Kirill S. Antonets, Andrey V. Kajava, Anton A. Nizhnikov, & Galina A. Zhouravleva. (2018). Protein Co-Aggregation Related to Amyloids: Methods of Investigation, Diversity, and Classification. International Journal of Molecular Sciences. 19(8). 2292–2292. 37 indexed citations
16.
Barbitoff, Yury A., et al.. (2017). Differential effects of chaperones on yeast prions: CURrent view. Current Genetics. 64(2). 317–325. 25 indexed citations
17.
Belousov, M. V., et al.. (2016). Identification of new genes that affect [PSI +] prion toxicity in Saccharomyces cerevisiae yeast. Molecular Biology. 50(5). 710–718. 3 indexed citations
18.
Bondarev, Stanislav A., Galina A. Zhouravleva, M. V. Belousov, & Andrey V. Kajava. (2015). Structure-based view on [PSI+] prion properties. Prion. 9(3). 190–199. 14 indexed citations
19.
Bondarev, Stanislav A., et al.. (2014). Modification of [PSI +] prion properties by combining amino acid changes in N-terminal domain of Sup35 protein. Molecular Biology. 48(2). 270–277. 4 indexed citations
20.
Zhouravleva, Galina A., et al.. (2013). Identification of Saccharomyces cerevisiae genes leading to synthetic lethality of prion [PSI +] with SUP45 mutations. Molecular Biology. 47(4). 530–537. 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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