Daria Danilenko

3.0k total citations
55 papers, 300 citations indexed

About

Daria Danilenko is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Daria Danilenko has authored 55 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Epidemiology, 32 papers in Infectious Diseases and 8 papers in Molecular Biology. Recurrent topics in Daria Danilenko's work include Influenza Virus Research Studies (29 papers), Respiratory viral infections research (19 papers) and SARS-CoV-2 and COVID-19 Research (12 papers). Daria Danilenko is often cited by papers focused on Influenza Virus Research Studies (29 papers), Respiratory viral infections research (19 papers) and SARS-CoV-2 and COVID-19 Research (12 papers). Daria Danilenko collaborates with scholars based in Russia, Slovakia and Portugal. Daria Danilenko's co-authors include Andrey B. Komissarov, Dmitry Lioznov, Eropkin MIu, K. A. Stolyarov, Artem Fadeev, А. А. Соминина, E. Yu. Melenevskaya, О. И. Киселев, Maria V. Sergeeva and Vladimir Shchur and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daria Danilenko

49 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daria Danilenko Russia 9 144 138 42 40 38 55 300
Zhaoqian Wang China 11 176 1.2× 99 0.7× 85 2.0× 43 1.1× 8 0.2× 34 460
Qianlin Li China 11 181 1.3× 61 0.4× 97 2.3× 32 0.8× 12 0.3× 35 318
Nicole N. Thadani United States 8 86 0.6× 126 0.9× 110 2.6× 17 0.4× 20 0.5× 10 309
Julia C. Loeb United States 12 207 1.4× 94 0.7× 63 1.5× 72 1.8× 18 0.5× 22 396
Shuyan Qiu China 13 201 1.4× 195 1.4× 118 2.8× 18 0.5× 135 3.6× 42 494
Jameel M. Abduljalil Yemen 10 111 0.8× 34 0.2× 85 2.0× 28 0.7× 16 0.4× 16 288
Md Mahfuzur Rahman Bangladesh 8 154 1.1× 61 0.4× 32 0.8× 11 0.3× 39 1.0× 28 233
Moses J Soka Liberia 4 299 2.1× 91 0.7× 60 1.4× 15 0.4× 65 1.7× 13 404
Zhengdong Zhao China 5 260 1.8× 37 0.3× 61 1.5× 29 0.7× 16 0.4× 7 383

Countries citing papers authored by Daria Danilenko

Since Specialization
Citations

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

Fields of papers citing papers by Daria Danilenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daria Danilenko

This figure shows the co-authorship network connecting the top 25 collaborators of Daria Danilenko. A scholar is included among the top collaborators of Daria Danilenko 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 Daria Danilenko. Daria Danilenko 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.
Fadeev, Artem, et al.. (2025). Genetic diversity of human metapneumovirus (Pneumoviridae: <i>Metapneumovirus</i>) in Russia: results of molecular analysis. Problems of Virology. 70(2). 164–176. 1 indexed citations
2.
Vitkin, Vladimir, et al.. (2024). Influenza A Virus Detection via Ag@c-Si SERS and Machine Learning. 570–570. 1 indexed citations
3.
Danilenko, Daria, et al.. (2024). Etiologic Characteristics of Influenza Epidemics on the Territory of Russia in the Period of Pandemic COVID-19 in 2020–2023. SHILAP Revista de lepidopterología. 23(3). 88–97.
4.
Popenko, Anna, Artem Fadeev, Д. А. Гусев, et al.. (2024). Characterization of the upper respiratory tract microbiome of patients with acute respiratory infections by 16S rRNA sequencing. SHILAP Revista de lepidopterología. 31(4). 19–26.
5.
6.
Fadeev, Artem, et al.. (2024). Development of Primer Panels for Amplicon Sequencing of Human Parainfluenza Viruses Type 1 and 2. International Journal of Molecular Sciences. 25(23). 13119–13119.
7.
Левицкий, В. С., D. S. Krylov, V. A. Tolmachev, et al.. (2024). Detection of adenovirus using dendritic silver substrates combined with SERS and random forest algorithms. Applied Surface Science. 682. 161771–161771. 5 indexed citations
8.
Sobolev, Ivan, Andrey Palyanov, Olga Kurskaya, et al.. (2023). The Development of the SARS-CoV-2 Epidemic in Different Regions of Siberia in the 2020–2022 Period. Viruses. 15(10). 2014–2014. 2 indexed citations
9.
Klink, Galya V., Daria Danilenko, Andrey B. Komissarov, et al.. (2023). An Early SARS-CoV-2 Omicron Outbreak in a Dormitory in Saint Petersburg, Russia. Viruses. 15(7). 1415–1415. 2 indexed citations
10.
Соминина, А. А., et al.. (2023). Characterization of a Panel of Monoclonal Antibodies Targeting the F-Protein of the Respiratory Syncytial Virus (RSV) for the Typing of Contemporary Circulating Strains. Tropical Medicine and Infectious Disease. 9(1). 1–1. 2 indexed citations
11.
Sobolev, Ivan, Olga Kurskaya, Andrey B. Komissarov, et al.. (2023). Virological and Genetic Characterization of the Unusual Avian Influenza H14Nx Viruses in the Northern Asia. Viruses. 15(3). 734–734. 1 indexed citations
12.
Pisareva, Maria, et al.. (2023). Detection and Differentiation of Current Influenza B Viruses by the Microculture Enzyme-Linked Immunosorbent Assay Using Monoclonal Antibodies. Applied Biochemistry and Microbiology. 59(7). 1039–1046. 1 indexed citations
13.
Соминина, А. А., et al.. (2021). Interference of SARS-CoV-2 with other Respiratory Viral Infections agents during Pandemic. SHILAP Revista de lepidopterología. 20(4). 28–39. 16 indexed citations
14.
Danilenko, Daria, et al.. (2021). Assessment of rat polyclonal antisera’s suitability in hemagglutination inhibition assay for influenza surveillance and antigenic mapping. Journal of Virological Methods. 293. 114170–114170. 3 indexed citations
15.
Komissarov, Andrey B., Sofya K. Garushyants, Artem Fadeev, et al.. (2021). Genomic epidemiology of the early stages of the SARS-CoV-2 outbreak in Russia. Nature Communications. 12(1). 649–649. 40 indexed citations
16.
Stanevich, Oksana V., et al.. (2021). Fast prototyping of a local fuzzy search system for decision support and retraining of hospital staff during pandemic. Health Information Science and Systems. 9(1). 21–21. 2 indexed citations
17.
Соминина, А. А., Daria Danilenko, Andrey B. Komissarov, et al.. (2021). Age-Specific Etiology of Severe Acute Respiratory Infections and Influenza Vaccine Effectivity in Prevention of Hospitalization in Russia, 2018–2019 Season. Journal of Epidemiology and Global Health. 11(4). 413–425. 7 indexed citations
18.
Danilenko, Daria, et al.. (2019). INFLUENZA VACCINATION OF CHILDREN OF PRESCHOOL AGE IN THE RUSSIAN FEDERATION: COST-EFFECTIVENESS OF QUADRIVALENT VACCINE. SHILAP Revista de lepidopterología. 11(1). 92–97. 3 indexed citations
19.
Stukova, Marina, et al.. (2011). [The 2009 pandemic influenza in Russia. I. Diagnosis and molecular biological characteristics of the virus].. PubMed. 56(1). 17–21. 2 indexed citations
20.
MIu, Eropkin, et al.. (2010). [Study of the antiviral activity of Russian anti-influenza agents in cell culture and animal models].. PubMed. 55(3). 19–27. 11 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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