U. A. Boyarskikh

92 total papers · 969 total citations
43 papers, 699 citations indexed

About

U. A. Boyarskikh is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, U. A. Boyarskikh has authored 43 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in U. A. Boyarskikh's work include Cancer Genomics and Diagnostics (9 papers), Genetic factors in colorectal cancer (4 papers) and Bacteriophages and microbial interactions (4 papers). U. A. Boyarskikh is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Genetic factors in colorectal cancer (4 papers) and Bacteriophages and microbial interactions (4 papers). U. A. Boyarskikh collaborates with scholars based in Russia, United Kingdom and Armenia. U. A. Boyarskikh's co-authors include М. Л. Филипенко, Igor P. Oscorbin, N. N. Kudryavtseva, Natalia P. Bondar, E. A. Belousova, O. V. Mishukova, V. A. Karpov, I. I. Gitelson, Tatiana G. Volova and Svetlana V. Prudnikova and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

U. A. Boyarskikh

42 papers receiving 688 citations

Author Peers

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

Author						Papers	Cites
U. A. Boyarskikh	267	183	156	131	64	43	699
Kikuhiko Okamoto	223 0.8×	120 0.7×	15 0.1×	147 1.1×	27 0.4×	42	815
Ayako Suzuki	193 0.7×	141 0.8×	28 0.2×	117 0.9×	58 0.9×	32	854
Tingting He	199 0.7×	90 0.5×	51 0.3×	109 0.8×	63 1.0×	60	740
Jennifer Mytych	226 0.8×	40 0.2×	26 0.2×	87 0.7×	50 0.8×	43	778
Anshuman Singh	190 0.7×	157 0.9×	17 0.1×	211 1.6×	62 1.0×	41	820
Long Zhang	134 0.5×	148 0.8×	25 0.2×	201 1.5×	29 0.5×	46	672
Rute C. Félix	195 0.7×	62 0.3×	25 0.2×	37 0.3×	20 0.3×	40	626
Enquan Xu	278 1.0×	35 0.2×	84 0.5×	76 0.6×	24 0.4×	24	842
Zaira Martín‐Moldes	392 1.5×	264 1.4×	37 0.2×	268 2.0×	30 0.5×	24	904
Hyun‐Ju Yang	172 0.6×	296 1.6×	40 0.3×	41 0.3×	23 0.4×	63	782

Countries citing papers authored by U. A. Boyarskikh

Since Specialization

Citations

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

Fields of papers citing papers by U. A. Boyarskikh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U. A. Boyarskikh. 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 U. A. Boyarskikh. The network helps show where U. A. Boyarskikh may publish in the future.

Co-authorship network of co-authors of U. A. Boyarskikh

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