Victoria Matyushenko

497 total citations
32 papers, 350 citations indexed

About

Victoria Matyushenko is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Victoria Matyushenko has authored 32 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 14 papers in Infectious Diseases and 11 papers in Immunology. Recurrent topics in Victoria Matyushenko's work include Influenza Virus Research Studies (25 papers), Respiratory viral infections research (25 papers) and SARS-CoV-2 and COVID-19 Research (11 papers). Victoria Matyushenko is often cited by papers focused on Influenza Virus Research Studies (25 papers), Respiratory viral infections research (25 papers) and SARS-CoV-2 and COVID-19 Research (11 papers). Victoria Matyushenko collaborates with scholars based in Russia, United States and Switzerland. Victoria Matyushenko's co-authors include Larisa Rudenko, Irina Isakova–Sivak, Daria Mezhenskaya, Daniil Korenkov, К. В. Сивак, Svetlana Donina, Igor Kudryavtsev, Irina Kiseleva, Ki‐Hye Kim and Sang‐Moo Kang and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and The Lancet Infectious Diseases.

In The Last Decade

Victoria Matyushenko

27 papers receiving 350 citations

Peers

Victoria Matyushenko
Sadaf Aslam United States
Victoria Matyushenko
Citations per year, relative to Victoria Matyushenko Victoria Matyushenko (= 1×) peers Sadaf Aslam

Countries citing papers authored by Victoria Matyushenko

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Matyushenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Matyushenko

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Matyushenko. A scholar is included among the top collaborators of Victoria Matyushenko 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 Victoria Matyushenko. Victoria Matyushenko 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.
Matyushenko, Victoria, et al.. (2025). Protective Potential and Functional Role of Antibodies Against SARS-CoV-2 Nucleocapsid Protein. Antibodies. 14(2). 45–45.
3.
Matyushenko, Victoria, Daria Mezhenskaya, Igor Kudryavtsev, et al.. (2024). Safety and Immunogenicity Study of a Bivalent Vaccine for Combined Prophylaxis of COVID-19 and Influenza in Non-Human Primates. Vaccines. 12(10). 1099–1099. 3 indexed citations
5.
Matyushenko, Victoria, et al.. (2024). A novel immunofluorescent test system for SARS-CoV-2 detection in infected cells. PLoS ONE. 19(5). e0304534–e0304534. 3 indexed citations
8.
Matyushenko, Victoria, et al.. (2021). Safety, Immunogenicity, and Protective Efficacy of a Chimeric A/B Live Attenuated Influenza Vaccine in a Mouse Model. Microorganisms. 9(2). 259–259. 6 indexed citations
9.
Mezhenskaya, Daria, Irina Isakova–Sivak, Victoria Matyushenko, et al.. (2021). A Strategy to Elicit M2e-Specific Antibodies Using a Recombinant H7N9 Live Attenuated Influenza Vaccine Expressing Multiple M2e Tandem Repeats. Biomedicines. 9(2). 133–133. 10 indexed citations
11.
Isakova–Sivak, Irina, Victoria Matyushenko, Daria Mezhenskaya, et al.. (2020). Recombinant Live Attenuated Influenza Vaccine Viruses Carrying Conserved T Cell Epitopes of Human Adenoviruses Induce Functional Cytotoxic T Cell Responses and Protect Mice against both Infections. Vaccines. 8(2). 196–196. 12 indexed citations
14.
Kim, Ki‐Hye, Bo Ryoung Park, Yu‐Jin Jung, et al.. (2020). Generation and Characterization of Universal Live-Attenuated Influenza Vaccine Candidates Containing Multiple M2e Epitopes. Vaccines. 8(4). 648–648. 10 indexed citations
16.
Matyushenko, Victoria, et al.. (2019). Amino Acid Substitutions N123D and N149D in Hemagglutinin Molecule Enhance Immunigenicity of Live Attenuated Influenza H7N9 Vaccine Strain in Experiment. Bulletin of Experimental Biology and Medicine. 166(5). 631–636. 7 indexed citations
18.
Isakova–Sivak, Irina, Daniil Korenkov, Svetlana Donina, et al.. (2018). Broadly protective anti-hemagglutinin stalk antibodies induced by live attenuated influenza vaccine expressing chimeric hemagglutinin. Virology. 518. 313–323. 32 indexed citations
19.
Matyushenko, Victoria, et al.. (2017). Genotyping assay for differentiation of wild-type and vaccine viruses in subjects immunized with live attenuated influenza vaccine. PLoS ONE. 12(7). e0180497–e0180497. 8 indexed citations
20.
Isakova–Sivak, Irina, et al.. (2016). Analysis of Immune Epitopes of Respiratory Syncytial Virus for Designing of Vectored Vaccines Based on Influenza Virus Platform. Bulletin of Experimental Biology and Medicine. 161(4). 533–537. 4 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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