Г. В. Шаронов

109 total papers · 3.0k total citations
66 papers, 1.7k citations indexed

About

Г. В. Шаронов is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Г. В. Шаронов has authored 66 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 22 papers in Immunology and 10 papers in Biomedical Engineering. Recurrent topics in Г. В. Шаронов's work include Immunotherapy and Immune Responses (14 papers), T-cell and B-cell Immunology (8 papers) and Diamond and Carbon-based Materials Research (6 papers). Г. В. Шаронов is often cited by papers focused on Immunotherapy and Immune Responses (14 papers), T-cell and B-cell Immunology (8 papers) and Diamond and Carbon-based Materials Research (6 papers). Г. В. Шаронов collaborates with scholars based in Russia, Belarus and Tajikistan. Г. В. Шаронов's co-authors include Dmitriy M. Chudakov, Olga V. Britanova, Ekaterina O. Serebrovskaya, Diana V. Yuzhakova, Alexey V. Feofanov, Alexander S. Arseniev, Tkachuk Va, Dmitriy B. Staroverov, Mikhail Shugay and Maria A. Turchaninova and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature reviews. Immunology.

In The Last Decade

Г. В. Шаронов

60 papers receiving 1.7k citations

Hit Papers

B cells, plasma cells and... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Г. В. Шаронов 725 574 447 221 193 66 1.7k
Jessica Cedervall 693 1.0× 596 1.0× 369 0.8× 301 1.4× 126 0.7× 40 1.8k
Nathalie Renard 553 0.8× 535 0.9× 571 1.3× 246 1.1× 80 0.4× 45 1.7k
Toru Nishi 749 1.0× 246 0.4× 226 0.5× 237 1.1× 180 0.9× 70 2.0k
Guido Piontek 682 0.9× 308 0.5× 492 1.1× 203 0.9× 294 1.5× 58 2.0k
Christian M. Capitini 519 0.7× 692 1.2× 658 1.5× 79 0.4× 181 0.9× 87 1.6k
Sherine F. Elsawa 983 1.4× 967 1.7× 671 1.5× 229 1.0× 222 1.2× 57 2.2k
Nicolaas H. C. Brons 702 1.0× 689 1.2× 564 1.3× 135 0.6× 395 2.0× 56 2.1k
G J Dougherty 741 1.0× 430 0.7× 327 0.7× 406 1.8× 121 0.6× 36 1.8k
Sandra T. van Tiel 554 0.8× 240 0.4× 437 1.0× 277 1.3× 97 0.5× 53 1.4k
Thomas J. Kremen 631 0.9× 488 0.9× 488 1.1× 157 0.7× 457 2.4× 45 1.8k

Countries citing papers authored by Г. В. Шаронов

Since Specialization
Citations

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

Fields of papers citing papers by Г. В. Шаронов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Г. В. Шаронов. 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 Г. В. Шаронов. The network helps show where Г. В. Шаронов may publish in the future.

Co-authorship network of co-authors of Г. В. Шаронов

This figure shows the co-authorship network connecting the top 25 collaborators of Г. В. Шаронов. A scholar is included among the top collaborators of Г. В. Шаронов 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 Г. В. Шаронов. Г. В. Шаронов 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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