Daria Danilenko

3.0k citations
55 papers · 300 indexed · h-index 9

Impact in

    • COVID-19 epidemiological studies
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral Infections and Vectors

Papers in

    • Influenza Virus Research Studies 29
    • Respiratory viral infections research 19
    • SARS-CoV-2 and COVID-19 Research 12
    • Viral gastroenteritis research and epidemiology 9
    • Viral Infections and Vectors 9
    • SARS-CoV-2 detection and testing 6

Daria Danilenko

49 papers receiving 287 citations

Peers

Daria Danilenko
Comparison fields: 5 of 72
  • Modeling and Simulation 38
  • Infectious Diseases 144
  • Epidemiology 138
  • Biophysics 12
  • Agronomy and Crop Science 21
Replace Nicole N. Thadani with:
Nicole N. Thadani United States
Qianlin Li China
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Viviane Fongaro Botosso Brazil
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Paola Cristina Resende Brazil
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Daria Danilenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daria Danilenko Line = papers co-authored together Daria Danilenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202140
2 201335
3 202224
4 202117
5 202116
6 202116
7
[Study of the antiviral activity of Russian anti-influenza agents in cell culture and animal models].
201011
8 202011
9 202210
10 20248
11 20228
12 20227
13 20217
14 20217
15 20206
16 20216
17 20226
18 20245
19 20224
20 20184

About Daria Danilenko

Daria Danilenko is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Modeling and Simulation and Biomedical Engineering, having authored 55 papers that have together received 300 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (29 papers), Respiratory viral infections research (19 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Viral gastroenteritis research and epidemiology (9 papers), Viral Infections and Vectors (9 papers), COVID-19 epidemiological studies (8 papers), SARS-CoV-2 detection and testing (6 papers) and Biosensors and Analytical Detection (4 papers). The work is most often cited by research in Modeling and Simulation (38 citations), Infectious Diseases (144 citations), Epidemiology (138 citations), Biophysics (12 citations) and Agronomy and Crop Science (21 citations). Daria Danilenko has collaborated with scholars based in Russia, Slovakia and Netherlands. Frequent co-authors include Andrey B. Komissarov, Dmitry Lioznov, Eropkin MIu, Artem Fadeev, K. A. Stolyarov, А. А. Соминина, Maria V. Sergeeva, E. Yu. Melenevskaya, О. И. Киселев and Maria Pisareva. Their work appears in journals such as Viruses, Frontiers in Microbiology, Tropical Medicine and Infectious Disease, Applied Surface Science and Journal of Personalized Medicine.

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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