Anton V. Cheltsov

22 papers receiving 666 citations

Peers

Anton V. Cheltsov
Comparison fields: 5 of 82
  • Cancer Research 96
  • Molecular Biology 349
  • Oncology 112
  • Organic Chemistry 126
  • Computational Theory and Mathematics 64
Replace Guoyi Yan with:
Guoyi Yan China
Kristine Svenson United States
ChiehYing Y. Chang United States
Adam J. Stein United States
Diane K. Luci United States
Jennifer Rotonda United States
Frédéric Villard Switzerland
Girija Krishnamurthy United States
Marguerite L. Davis United States
David Álvaro Cebrián Spain
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Citations per field
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Guoyi Yan · 1×
Citations per year

Countries citing papers authored by Anton V. Cheltsov

Since Specialization
Citations

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

Fields of papers citing papers by Anton V. Cheltsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anton V. Cheltsov. 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 Anton V. Cheltsov. The network helps show where Anton V. Cheltsov may publish in the future.

Co-authors

The 25 scholars most cited alongside Anton V. Cheltsov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anton V. Cheltsov Line = papers co-authored together Anton V. Cheltsov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012118
2 2010109
3 200786
4 201175
5 201043
6 201443
7 201236
8 201022
9 200522
10 200122
11 201920
12 202019
13 201619
14 200312
15 201512
16 20158
17 20137
18 20236
19
Probing the CXCR6/CXCL16 Axis: Targeting Prevention of Prostate Cancer Metastasis
20145
20 20125

About Anton V. Cheltsov

Anton V. Cheltsov is a scholar working on Molecular Biology, Virology, Endocrinology, Diabetes and Metabolism, Hepatology and Epidemiology, having authored 22 papers that have together received 693 indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (4 papers), Biochemical and Molecular Research (2 papers), Alkaline Phosphatase Research Studies (2 papers), Estrogen and related hormone effects (2 papers), Influenza Virus Research Studies (2 papers), interferon and immune responses (2 papers), Mosquito-borne diseases and control (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Cancer Research (96 citations), Molecular Biology (349 citations), Oncology (112 citations), Organic Chemistry (126 citations) and Computational Theory and Mathematics (64 citations). Anton V. Cheltsov has collaborated with scholars based in United States, Finland and Russia. Frequent co-authors include Sergey A. Shiryaev, Alex Y. Strongin, Glória C. Ferreira, Ruben A Abagyan, Vladislav S. Golubkov, Denis E. Kainov, John L. Stebbins, Laura Kakkola, Andrei V. Chernov and Ashwini Sakrepatna Nagaraj. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, Viruses, Trends in Pharmacological Sciences and EMBO Reports.

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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