Daniil Korenkov

631 total citations
27 papers, 446 citations indexed

About

Daniil Korenkov is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Daniil Korenkov has authored 27 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 16 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Daniil Korenkov's work include Influenza Virus Research Studies (19 papers), Respiratory viral infections research (11 papers) and Immune Response and Inflammation (6 papers). Daniil Korenkov is often cited by papers focused on Influenza Virus Research Studies (19 papers), Respiratory viral infections research (11 papers) and Immune Response and Inflammation (6 papers). Daniil Korenkov collaborates with scholars based in Russia, United States and Australia. Daniil Korenkov's co-authors include Larisa Rudenko, Irina Isakova–Sivak, Svetlana Donina, Kok Fei Chan, Patrick C. Reading, Karen Laurie, Ian Barr, Louise Carolan, Julian Druce and Galina Petukhova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and The Journal of Infectious Diseases.

In The Last Decade

Daniil Korenkov

23 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniil Korenkov Russia 13 330 180 139 79 39 27 446
Anthony DiPiazza United States 12 228 0.7× 200 1.1× 161 1.2× 103 1.3× 34 0.9× 18 427
Teresa Aydillo United States 12 386 1.2× 127 0.7× 284 2.0× 56 0.7× 20 0.5× 26 584
Jennifer L. Nayak United States 15 456 1.4× 368 2.0× 140 1.0× 142 1.8× 45 1.2× 28 621
Stéphane G. Paquette Canada 11 188 0.6× 116 0.6× 211 1.5× 75 0.9× 35 0.9× 12 451
Horace H.Y. Lee Hong Kong 9 284 0.9× 160 0.9× 324 2.3× 76 1.0× 123 3.2× 13 549
Teagan Guarnaccia Australia 7 353 1.1× 116 0.6× 106 0.8× 59 0.7× 44 1.1× 9 400
Jarika Makkoch Thailand 10 326 1.0× 114 0.6× 134 1.0× 122 1.5× 82 2.1× 20 481
Joanne H. M. Fong Hong Kong 6 223 0.7× 139 0.8× 217 1.6× 36 0.5× 53 1.4× 8 438
Chantal Rhéaume Canada 14 409 1.2× 111 0.6× 175 1.3× 89 1.1× 48 1.2× 28 535
Zhaomin Feng China 11 174 0.5× 41 0.2× 187 1.3× 125 1.6× 93 2.4× 38 429

Countries citing papers authored by Daniil Korenkov

Since Specialization
Citations

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

Fields of papers citing papers by Daniil Korenkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniil Korenkov

This figure shows the co-authorship network connecting the top 25 collaborators of Daniil Korenkov. A scholar is included among the top collaborators of Daniil Korenkov 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 Daniil Korenkov. Daniil Korenkov 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.
Autaa, Gaëlle, Daniil Korenkov, Josine van Beek, et al.. (2025). Re-evaluating CD57 as a marker of T cell senescence: implications for immune ageing and differentiation. Immunity & Ageing. 22(1). 47–47.
2.
Autaa, Gaëlle, Laura Papagno, Daniil Korenkov, et al.. (2025). Aging and inflammation limit the induction of SARS-CoV-2–specific CD8+ T cell responses in severe COVID-19. JCI Insight. 10(4). 1 indexed citations
3.
Vartanian, Audrey Der, Nabila Elarouci, Frédéric Causeret, et al.. (2020). The PAX-FOXO1s trigger fast trans-differentiation of chick embryonic neural cells into alveolar rhabdomyosarcoma with tissue invasive properties limited by S phase entry inhibition. PLoS Genetics. 16(11). e1009164–e1009164. 11 indexed citations
4.
Korenkov, Daniil, Irina Isakova–Sivak, & Larisa Rudenko. (2018). Basics of CD8 T-cell immune responses after influenza infection and vaccination with inactivated or live attenuated influenza vaccine. Expert Review of Vaccines. 17(11). 977–987. 48 indexed citations
5.
6.
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
7.
Korenkov, Daniil, Karen Laurie, Patrick C. Reading, et al.. (2018). Safety, immunogenicity and protection of A(H3N2) live attenuated influenza vaccines containing wild-type nucleoprotein in a ferret model. Infection Genetics and Evolution. 64. 95–104. 12 indexed citations
8.
Isakova–Sivak, Irina, et al.. (2018). Modeling of 3D Structure of Chimeric Constructs Based on Hemagglutinin of Influenza Virus and Immunogenic Epitopes of Streptococcus Agalactiae. Bulletin of Experimental Biology and Medicine. 164(6). 743–748. 2 indexed citations
9.
10.
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
11.
Donina, Svetlana, et al.. (2015). CROSSREACTIVE ANTIBODIES AND MEMORY T CELLS TO HUMAN AND ZOONOTIC INFLUENZA A VIRUSES IN VOLUNTEERS. SHILAP Revista de lepidopterología. 17(4). 347–358.
12.
Rudenko, Larisa, Svetlana Donina, Daniil Korenkov, et al.. (2015). Assessment of immune responses to H5N1 inactivated influenza vaccine among individuals previously primed with H5N2 live attenuated influenza vaccine. Human Vaccines & Immunotherapeutics. 11(12). 2839–2848. 17 indexed citations
13.
Donina, Svetlana, et al.. (2014). AVIDITY EVALUATION OF LOCAL IgA ANTIBODIES IN PERSONS IMMUNIZED WITH LIVE INFLUENZA VACCINE. Medical Immunology (Russia). 10(4-5). 423–423.
14.
Korenkov, Daniil, et al.. (2014). EVALUATION OF T CELL IMMUNOLOGICAL MEMORY BY MEANS OF CD45+ EXPRESSION IN HUMANS VACCINATED WITH LIVE REASSORTANT INFLUENZA VACCINE. Medical Immunology (Russia). 10(6). 535–535. 1 indexed citations
15.
Korenkov, Daniil, et al.. (2014). Effect of Factors Produced by the Placenta on Cytokine Secretion by THP-1 Cells Cultured on a 3D Scaffold. Bulletin of Experimental Biology and Medicine. 156(4). 566–570. 2 indexed citations
16.
Korenkov, Daniil, et al.. (2013). Effects of Placental Tissue Secretory Products on the Formation of Vascular Tubules by EA.Hy926 Endothelial Cells. Bulletin of Experimental Biology and Medicine. 155(1). 108–112. 6 indexed citations
17.
18.
Chirkova, Tatiana, et al.. (2011). Memory T-Cell Immune Response in Healthy Young Adults Vaccinated with Live Attenuated Influenza A (H5N2) Vaccine. Clinical and Vaccine Immunology. 18(10). 1710–1718. 27 indexed citations
19.
20.
Chirkova, Tatiana, et al.. (2008). Immunization with live influenza viruses in an experimental model of allergic bronchial asthma: infection and vaccination. Influenza and Other Respiratory Viruses. 2(5). 165–174. 7 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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