Evgeniy S. Egorov

1.4k total citations
8 papers, 374 citations indexed

About

Evgeniy S. Egorov is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Evgeniy S. Egorov has authored 8 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 1 paper in Oncology. Recurrent topics in Evgeniy S. Egorov's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (4 papers). Evgeniy S. Egorov is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (4 papers). Evgeniy S. Egorov collaborates with scholars based in Russia, Czechia and United Kingdom. Evgeniy S. Egorov's co-authors include Dmitriy M. Chudakov, Ilgar Z. Mamedov, Mikhail Shugay, Olga V. Britanova, Dmitriy B. Staroverov, Mark Izraelson, Yuri B. Lebedev, Ekaterina A. Komech, Mikhail V. Pogorelyy and Dmitriy A. Bolotin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Nature Protocols.

In The Last Decade

Evgeniy S. Egorov

7 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evgeniy S. Egorov Russia 7 281 125 74 59 35 8 374
Moustafa Hamze France 7 292 1.0× 107 0.9× 127 1.7× 73 1.2× 40 1.1× 9 410
Laura George United Kingdom 5 321 1.1× 191 1.5× 62 0.8× 56 0.9× 12 0.3× 6 515
Esil Aleyd Netherlands 6 232 0.8× 80 0.6× 28 0.4× 66 1.1× 54 1.5× 6 327
Jonathan A. Roco Australia 6 449 1.6× 101 0.8× 79 1.1× 24 0.4× 30 0.9× 8 562
Bochao Zhang United States 9 249 0.9× 97 0.8× 52 0.7× 68 1.2× 22 0.6× 10 369
Anastasia A. Minervina Russia 12 304 1.1× 226 1.8× 79 1.1× 42 0.7× 23 0.7× 19 479
William Loo United States 9 249 0.9× 68 0.5× 33 0.4× 56 0.9× 79 2.3× 11 382
Barbara Ehrenfels United States 7 257 0.9× 93 0.7× 39 0.5× 83 1.4× 25 0.7× 8 398
Zhoujie Ding Australia 12 320 1.1× 72 0.6× 27 0.4× 90 1.5× 26 0.7× 22 441
Alexey N. Davydov Czechia 9 465 1.7× 160 1.3× 147 2.0× 47 0.8× 14 0.4× 12 602

Countries citing papers authored by Evgeniy S. Egorov

Since Specialization
Citations

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

Fields of papers citing papers by Evgeniy S. Egorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evgeniy S. Egorov. 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 Evgeniy S. Egorov. The network helps show where Evgeniy S. Egorov may publish in the future.

Co-authorship network of co-authors of Evgeniy S. Egorov

This figure shows the co-authorship network connecting the top 25 collaborators of Evgeniy S. Egorov. A scholar is included among the top collaborators of Evgeniy S. Egorov 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 Evgeniy S. Egorov. Evgeniy S. Egorov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Egorov, Evgeniy S., О. А. Аверина, Anastasia S. Prikhodko, et al.. (2023). A new mouse strain with mutation in the NFE2L2 (NRF2 gene. 88(12). 2375–2386.
2.
Quiniou, Valentin, Mikhail Shugay, Evgeniy S. Egorov, et al.. (2020). Benchmarking of T cell receptor repertoire profiling methods reveals large systematic biases. Nature Biotechnology. 39(2). 236–245. 77 indexed citations
3.
Kasatskaya, Sofya A., Kristin Ladell, Evgeniy S. Egorov, et al.. (2020). Functionally specialized human CD4+ T-cell subsets express physicochemically distinct TCRs. eLife. 9. 17 indexed citations
4.
Komech, Ekaterina A., Mikhail V. Pogorelyy, Evgeniy S. Egorov, et al.. (2018). CD8+ T cells with characteristic T cell receptor beta motif are detected in blood and expanded in synovial fluid of ankylosing spondylitis patients. Lara D. Veeken. 57(6). 1097–1104. 42 indexed citations
5.
Pogorelyy, Mikhail V., Anastasia A. Minervina, Ekaterina A. Komech, et al.. (2018). Precise tracking of vaccine-responding T cell clones reveals convergent and personalized response in identical twins. Proceedings of the National Academy of Sciences. 115(50). 12704–12709. 79 indexed citations
6.
Izraelson, Mark, Bruno Moltedo, Evgeniy S. Egorov, et al.. (2017). Comparative analysis of murine T‐cell receptor repertoires. Immunology. 153(2). 133–144. 35 indexed citations
7.
Turchaninova, Maria A., Albert V. Davydov, Olga V. Britanova, et al.. (2016). High-quality full-length immunoglobulin profiling with unique molecular barcoding. Nature Protocols. 11(9). 1599–1616. 116 indexed citations
8.
Vdovin, Alexander, Sergey Filkin, Evgeniy S. Egorov, et al.. (2016). Recombinant MHC tetramers for isolation of virus-specific CD8+ cells from healthy donors: Potential approach for cell therapy of posttransplant cytomegalovirus infection. Biochemistry (Moscow). 81(11). 1371–1383. 8 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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