Cherkasov Sv

65 total papers · 474 total citations
31 papers, 343 citations indexed

About

Cherkasov Sv is a scholar working on Molecular Biology, Endocrinology and Epidemiology. According to data from OpenAlex, Cherkasov Sv has authored 31 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Endocrinology and 5 papers in Epidemiology. Recurrent topics in Cherkasov Sv's work include Diphtheria, Corynebacterium, and Tetanus (10 papers), Gut microbiota and health (8 papers) and Urinary Tract Infections Management (4 papers). Cherkasov Sv is often cited by papers focused on Diphtheria, Corynebacterium, and Tetanus (10 papers), Gut microbiota and health (8 papers) and Urinary Tract Infections Management (4 papers). Cherkasov Sv collaborates with scholars based in Russia, Italy and Norway. Cherkasov Sv's co-authors include В. А. Гриценко, Margarita G. Skalnaya, Jan Aaseth, Anatoly V. Skalny, Alexey A. Tinkov, Andrey O. Plotnikov, Natalia Gogoleva, Bukharin Ov, С. В. Лебедев and Sergey Miroshnikov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Pollution and International Journal of Molecular Sciences.

In The Last Decade

Cherkasov Sv

25 papers receiving 334 citations

Author Peers

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

Author Last Decade Papers Cites
Cherkasov Sv 109 102 46 42 27 31 343
Ju Zhang 47 0.4× 48 0.5× 43 0.9× 33 0.8× 24 0.9× 38 312
Nonghoon Choe 63 0.6× 43 0.4× 29 0.6× 57 1.4× 18 0.7× 25 324
Javiera Norambuena 67 0.6× 130 1.3× 22 0.5× 26 0.6× 10 0.4× 26 378
Yan Liu 86 0.8× 139 1.4× 131 2.8× 24 0.6× 7 0.3× 33 379
Almudena F. Villadangos 108 1.0× 175 1.7× 36 0.8× 55 1.3× 11 0.4× 14 375
H Griffin 81 0.7× 187 1.8× 71 1.5× 19 0.5× 14 0.5× 15 372
Hideomi Nakahara 168 1.5× 61 0.6× 25 0.5× 121 2.9× 12 0.4× 16 351
Han Young Chung 35 0.3× 77 0.8× 26 0.6× 48 1.1× 47 1.7× 26 307
Leszek Potocki 33 0.3× 137 1.3× 33 0.7× 31 0.7× 9 0.3× 28 399
Amar N. Ghosh 48 0.4× 79 0.8× 13 0.3× 21 0.5× 39 1.4× 27 316

Countries citing papers authored by Cherkasov Sv

Since Specialization
Citations

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

Fields of papers citing papers by Cherkasov Sv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cherkasov Sv

This figure shows the co-authorship network connecting the top 25 collaborators of Cherkasov Sv. A scholar is included among the top collaborators of Cherkasov Sv 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 Cherkasov Sv. Cherkasov Sv 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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