Ershov Fi

402 total papers · 482 total citations
146 papers, 360 citations indexed

About

Ershov Fi is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Ershov Fi has authored 146 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Epidemiology, 21 papers in Immunology and 17 papers in Infectious Diseases. Recurrent topics in Ershov Fi's work include Respiratory viral infections research (11 papers), Cytokine Signaling Pathways and Interactions (10 papers) and interferon and immune responses (9 papers). Ershov Fi is often cited by papers focused on Respiratory viral infections research (11 papers), Cytokine Signaling Pathways and Interactions (10 papers) and interferon and immune responses (9 papers). Ershov Fi collaborates with scholars based in Russia, United Kingdom and Uzbekistan. Ershov Fi's co-authors include Oksana Lyubomska, Galyna A Kutsyna, Alexandr Myasnikov, С. А. Бернс, О. В. Зайцева, О. А. Бочарова, Peter Uchakin, S. E. Bresler, I. Yu. Nagaev and Л. А. Андреева and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Current Pharmaceutical Design.

In The Last Decade

Ershov Fi

125 papers receiving 324 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ershov Fi 112 89 87 74 36 146 360
Binlian Sun 85 0.8× 55 0.6× 108 1.2× 64 0.9× 20 0.6× 35 378
Yasuyuki Egashira 65 0.6× 45 0.5× 149 1.7× 30 0.4× 15 0.4× 43 362
Huifen Chen 142 1.3× 64 0.7× 27 0.3× 52 0.7× 43 1.2× 27 389
María Teresa Hernández‐Huerta 95 0.8× 57 0.6× 76 0.9× 43 0.6× 12 0.3× 35 350
Masahiro Sano 88 0.8× 70 0.8× 68 0.8× 98 1.3× 40 1.1× 38 397
Jianqiang Guo 161 1.4× 71 0.8× 48 0.6× 51 0.7× 49 1.4× 41 345
Halpern Bn 64 0.6× 58 0.7× 122 1.4× 25 0.3× 27 0.8× 82 387
B Rada 127 1.1× 95 1.1× 50 0.6× 126 1.7× 38 1.1× 39 358
Joanna Cymerys 101 0.9× 151 1.7× 76 0.9× 54 0.7× 19 0.5× 54 387
Anatoly V. Kubyshkin 122 1.1× 30 0.3× 68 0.8× 43 0.6× 32 0.9× 67 378

Countries citing papers authored by Ershov Fi

Since Specialization
Citations

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

Fields of papers citing papers by Ershov Fi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ershov Fi

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

All Works

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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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