Evgeny V. Denisov

2.5k total citations
92 papers, 1.6k citations indexed

About

Evgeny V. Denisov is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Evgeny V. Denisov has authored 92 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Oncology, 29 papers in Molecular Biology and 27 papers in Cancer Research. Recurrent topics in Evgeny V. Denisov's work include Cancer Cells and Metastasis (34 papers), Cancer Genomics and Diagnostics (16 papers) and Lung Cancer Treatments and Mutations (9 papers). Evgeny V. Denisov is often cited by papers focused on Cancer Cells and Metastasis (34 papers), Cancer Genomics and Diagnostics (16 papers) and Lung Cancer Treatments and Mutations (9 papers). Evgeny V. Denisov collaborates with scholars based in Russia, France and United Kingdom. Evgeny V. Denisov's co-authors include V. М. Perelmuter, М. V. Zavyalova, С. В. Вторушин, N. V. Krakhmal, Н. В. Чердынцева, Alexis Gautreau, Л. А. Таширева, Tatiana S. Gerashchenko, Н. В. Литвяков and O. E. Savelieva and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and Scientific Reports.

In The Last Decade

Evgeny V. Denisov

82 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evgeny V. Denisov Russia 22 700 679 494 236 214 92 1.6k
Kristina Viktorsson Sweden 27 637 0.9× 1.5k 2.3× 469 0.9× 182 0.8× 232 1.1× 70 2.2k
Melissa D. Landis United States 23 868 1.2× 940 1.4× 393 0.8× 146 0.6× 129 0.6× 28 1.8k
Leanne C. Huysentruyt United States 16 476 0.7× 783 1.2× 508 1.0× 115 0.5× 123 0.6× 20 1.6k
Helena Pópulo Portugal 13 518 0.7× 1.2k 1.7× 344 0.7× 138 0.6× 188 0.9× 21 1.9k
Suxia Han China 24 445 0.6× 1.0k 1.5× 518 1.0× 180 0.8× 299 1.4× 75 1.8k
Jumpei Kondo Japan 20 723 1.0× 788 1.2× 565 1.1× 145 0.6× 254 1.2× 78 1.9k
Xin Xu China 26 758 1.1× 1.4k 2.1× 709 1.4× 211 0.9× 281 1.3× 84 2.3k
Sergej Skvortsov Austria 24 780 1.1× 1.2k 1.8× 605 1.2× 144 0.6× 332 1.6× 48 2.1k
Nhu‐An Pham Canada 24 660 0.9× 980 1.4× 381 0.8× 86 0.4× 369 1.7× 56 1.8k
Fernando Doñate United States 22 508 0.7× 897 1.3× 341 0.7× 121 0.5× 145 0.7× 56 1.8k

Countries citing papers authored by Evgeny V. Denisov

Since Specialization
Citations

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

Fields of papers citing papers by Evgeny V. Denisov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evgeny V. Denisov

This figure shows the co-authorship network connecting the top 25 collaborators of Evgeny V. Denisov. A scholar is included among the top collaborators of Evgeny V. Denisov 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 Evgeny V. Denisov. Evgeny V. Denisov 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.
Denisov, Evgeny V., et al.. (2025). Viral metagenomics in wild ducks reveals the presence of seadornaviruses in Siberia. Archives of Virology. 170(2). 41–41.
2.
Denisov, Evgeny V., et al.. (2024). Soft tissue sarcomas at the single-cell and spatial resolution: new markers and targets. Cancer Gene Therapy. 32(1). 11–21. 1 indexed citations
3.
Gerashchenko, Tatiana S., et al.. (2024). Whole-exome sequencing reveals an association of rs112065068 in TGOLN2 gene with distant metastasis of non-small cell lung cancer. Gene. 920. 148507–148507. 1 indexed citations
4.
Kirsanov, К. I., et al.. (2024). Decoding Chemotherapy Resistance of Undifferentiated Pleomorphic Sarcoma at the Single Cell Resolution: A Case Report. Journal of Clinical Medicine. 13(23). 7176–7176.
5.
Gerashchenko, Tatiana S., et al.. (2023). Metastasis prevention: How to catch metastatic seeds. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1878(3). 188867–188867. 8 indexed citations
6.
Таширева, Л. А., et al.. (2023). Spatial Profile of Tumor Microenvironment in PD-L1-Negative and PD-L1-Positive Triple-Negative Breast Cancer. International Journal of Molecular Sciences. 24(2). 1433–1433. 8 indexed citations
7.
Larionova, Irina, et al.. (2023). Potential value of high-throughput single-cell DNA sequencing of Juvenile myelomonocytic leukemia: report of two cases. npj Systems Biology and Applications. 9(1). 41–41. 3 indexed citations
8.
Патышева, М. Р., et al.. (2023). Molecular Landscape of Oral Cancer in Young Adults. Russian Journal of Genetics. 59(11). 1190–1201.
9.
Denisov, Evgeny V., et al.. (2023). Experimental models of tumor growth in soft tissue sarcomas. SHILAP Revista de lepidopterología. 27(4). 459–469.
10.
Таширева, Л. А., et al.. (2022). Efficacy of preoperative therapy in patients with high and low risk of distant metastasis in non-small cell lung cancer. SHILAP Revista de lepidopterología. 21(6). 25–37.
11.
Gautreau, Alexis, et al.. (2020). Mutational drivers of cancer cell migration and invasion. British Journal of Cancer. 124(1). 102–114. 189 indexed citations
12.
Zavyalova, М. V., Evgeny V. Denisov, Л. А. Таширева, et al.. (2019). Intravasation as a Key Step in Cancer Metastasis. Biochemistry (Moscow). 84(7). 762–772. 61 indexed citations
13.
Thomason, Peter A., Raphaël Guérois, Sophie Vacher, et al.. (2018). The trimeric coiled‐coil HSBP 1 protein promotes WASH complex assembly at centrosomes. The EMBO Journal. 37(13). 16 indexed citations
14.
Кайгородова, Е. В., et al.. (2017). Effect of small and radical surgical injury on the level of different populations of circulating tumor cells in the blood of breast cancer patients. Neoplasma. 64(3). 437–443. 10 indexed citations
15.
Вторушин, С. В., et al.. (2016). LYMPHOGENIC METASTASIS IN LUMINAL-TYPE A BREASR CANCER. Siberian Journal of Oncology.
16.
Denisov, Evgeny V., Н. В. Литвяков, М. V. Zavyalova, et al.. (2014). Intratumoral morphological heterogeneity of breast cancer: neoadjuvant chemotherapy efficiency and multidrug resistance gene expression. Scientific Reports. 4(1). 4709–4709. 34 indexed citations
17.
Gerashchenko, Tatiana S., Evgeny V. Denisov, Н. В. Литвяков, et al.. (2013). Intratumor heterogeneity: Nature and biological significance. Biochemistry (Moscow). 78(11). 1201–1215. 65 indexed citations
18.
Литвяков, Н. В., Н. В. Чердынцева, М. М. Цыганов, et al.. (2012). Changing the expression vector of multidrug resistance genes is related to neoadjuvant chemotherapy response. Cancer Chemotherapy and Pharmacology. 71(1). 153–163. 29 indexed citations
19.
Чердынцева, Н. В., Evgeny V. Denisov, Н. В. Литвяков, et al.. (2011). Crosstalk Between the FGFR2 and TP53 Genes in Breast Cancer: Data from an Association Study and Epistatic Interaction Analysis. DNA and Cell Biology. 31(3). 306–316. 17 indexed citations
20.
Denisov, Evgeny V., et al.. (2011). Coordination of TP53 Abnormalities in Breast Cancer: Data from Analysis of TP53 Polymorphisms, Loss of Heterozygosity, Methylation, and Mutations. Genetic Testing and Molecular Biomarkers. 15(12). 901–907. 4 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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