А. А. Полозников

1.3k total citations
84 papers, 867 citations indexed

About

А. А. Полозников is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, А. А. Полозников has authored 84 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 30 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in А. А. Полозников's work include Cancer, Hypoxia, and Metabolism (20 papers), Genomics, phytochemicals, and oxidative stress (10 papers) and 3D Printing in Biomedical Research (10 papers). А. А. Полозников is often cited by papers focused on Cancer, Hypoxia, and Metabolism (20 papers), Genomics, phytochemicals, and oxidative stress (10 papers) and 3D Printing in Biomedical Research (10 papers). А. А. Полозников collaborates with scholars based in Russia, United States and Germany. А. А. Полозников's co-authors include С. В. Никулин, Г. С. Захарова, Dmitry M. Hushpulian, Irina G. Gazaryan, Alexander Tonevitsky, Bobby Thomas, Irina N. Gaisina, В. И. Тишков, Navneet Ammal Kaidery and Manuj Ahuja and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Analytical Chemistry.

In The Last Decade

А. А. Полозников

80 papers receiving 856 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
А. А. Полозников Russia 17 468 243 160 96 80 84 867
Shu‐Hui Zhang China 17 474 1.0× 191 0.8× 51 0.3× 111 1.2× 119 1.5× 42 1.1k
Shengping Zhang China 21 804 1.7× 174 0.7× 126 0.8× 47 0.5× 149 1.9× 56 1.3k
Chunling Yuan China 20 430 0.9× 99 0.4× 93 0.6× 188 2.0× 92 1.1× 43 883
Anantha Koteswararao Kanugula India 16 494 1.1× 140 0.6× 47 0.3× 86 0.9× 89 1.1× 23 1.0k
Hyunduk Jang South Korea 16 451 1.0× 193 0.8× 179 1.1× 107 1.1× 103 1.3× 25 1.3k
С. В. Никулин Russia 14 313 0.7× 180 0.7× 104 0.7× 28 0.3× 89 1.1× 61 608
Sandra Vorlová Germany 11 404 0.9× 100 0.4× 63 0.4× 119 1.2× 84 1.1× 15 698
Monika Zielonka United States 12 324 0.7× 99 0.4× 103 0.6× 56 0.6× 31 0.4× 18 796
Hana Polanská Czechia 16 327 0.7× 124 0.5× 92 0.6× 36 0.4× 138 1.7× 32 736
Gernot Bruchelt Germany 22 653 1.4× 244 1.0× 79 0.5× 28 0.3× 184 2.3× 85 1.5k

Countries citing papers authored by А. А. Полозников

Since Specialization
Citations

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

Fields of papers citing papers by А. А. Полозников

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of А. А. Полозников

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

All Works

20 of 20 papers shown
1.
Полозников, А. А., Anna V. Kudryavtseva, Maria Fedorova, et al.. (2025). Predicting patient outcomes with gene-expression biomarkers from colorectal cancer organoids and cell lines. Frontiers in Molecular Biosciences. 12. 1531175–1531175. 2 indexed citations
2.
Никулин, С. В., et al.. (2023). ELOVL5 and IGFBP6 genes modulate sensitivity of breast cancer cells to ferroptosis. Frontiers in Molecular Biosciences. 10. 1075704–1075704. 14 indexed citations
3.
Никулин, С. В., et al.. (2023). The first experience of using prostate cancer organoids as a model for personalized selection of drugs. Cancer Urology. 19(2). 41–46.
4.
Полозников, А. А., Stepan Nersisyan, Dmitry M. Hushpulian, et al.. (2021). HIF Prolyl Hydroxylase Inhibitors for COVID-19 Treatment: Pros and Cons. Frontiers in Pharmacology. 11. 621054–621054. 21 indexed citations
5.
Hushpulian, Dmitry M., Navneet Ammal Kaidery, Manuj Ahuja, et al.. (2021). Challenges and Limitations of Targeting the Keap1-Nrf2 Pathway for Neurotherapeutics: Bach1 De-Repression to the Rescue. Frontiers in Aging Neuroscience. 13. 673205–673205. 33 indexed citations
6.
Gaisina, Irina N., Dmitry M. Hushpulian, Arsen Gaisin, et al.. (2021). Identification of a potent Nrf2 displacement activator among aspirin-containing prodrugs. Neurochemistry International. 149. 105148–105148. 5 indexed citations
7.
Maar, Hanna, С. В. Никулин, А. А. Полозников, et al.. (2021). Integrin alpha-V is an important driver in pancreatic adenocarcinoma progression. Journal of Experimental & Clinical Cancer Research. 40(1). 214–214. 23 indexed citations
8.
Vlasova, Kseniya Yu., Maxim A. Abakumov, D. Yu. Golovin, et al.. (2020). Enzyme Release from Polyion Complex by Extremely Low Frequency Magnetic Field. Scientific Reports. 10(1). 9 indexed citations
9.
Никулин, С. В., et al.. (2020). Impedance Spectroscopy as a Tool for Monitoring Performance in 3D Models of Epithelial Tissues. Frontiers in Bioengineering and Biotechnology. 7. 474–474. 69 indexed citations
10.
Полозников, А. А., et al.. (2019). Chronic cervicitis associated with human papillomavirus and markers of inflammation in women of reproductive age. Akusherstvo i ginekologiia. 4_2019. 49–57.
11.
Rudik, Anastasia V., et al.. (2018). Which cytochrome P450 metabolizes phenazepam? Step by step in silico , in vitro , and in vivo studies. Drug Metabolism and Personalized Therapy. 33(2). 65–73. 9 indexed citations
12.
13.
Полозников, А. А.. (2018). In vitro and in silico liver models: Current trends, challenges and opportunities. ALTEX. 35(3). 397–412. 29 indexed citations
14.
Никулин, С. В., А. А. Полозников, Г. С. Захарова, et al.. (2018). Role of IGFBP6 Protein in the Regulation of Epithelial-Mesenchymal Transition Genes. Bulletin of Experimental Biology and Medicine. 164(5). 650–654. 7 indexed citations
15.
Никулин, С. В., А. А. Полозников, Г. С. Захарова, et al.. (2018). In Vitro Model for Studying of the Role of IGFBP6 Gene in Breast Cancer Metastasizing. Bulletin of Experimental Biology and Medicine. 164(5). 688–692. 9 indexed citations
16.
17.
Burmistrova, Olga, et al.. (2017). The Use of Human Liver Cell Model and Cytochrome P450 Substrate—Inhibitor Panel for Studies of Dasatinib and Warfarin Interactions. Bulletin of Experimental Biology and Medicine. 162(4). 515–519. 12 indexed citations
18.
Полозников, А. А., et al.. (2016). Cervical cancer screening: What is new in global practice?. Akusherstvo i ginekologiia. 7_2016. 17–21. 4 indexed citations
19.
Полозников, А. А., С. В. Никулин, N. A. Smirnova, et al.. (2016). Structure-activity relationship for branched oxyquinoline HIF activators: Effect of modifications to phenylacetamide “tail”. Biochimie. 133. 74–79. 14 indexed citations
20.
Hushpulian, Dmitry M., et al.. (2015). Reactivation of HIF prolyl hydroxylase 2 from E.coli inclusion bodies. Russian Chemical Bulletin. 64(7). 1671–1677. 1 indexed citations

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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