Н. В. Чердынцева

3.5k total citations
189 papers, 2.5k citations indexed

About

Н. В. Чердынцева is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Н. В. Чердынцева has authored 189 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 77 papers in Oncology and 57 papers in Cancer Research. Recurrent topics in Н. В. Чердынцева's work include Cancer Cells and Metastasis (33 papers), Cancer Genomics and Diagnostics (30 papers) and Immune cells in cancer (22 papers). Н. В. Чердынцева is often cited by papers focused on Cancer Cells and Metastasis (33 papers), Cancer Genomics and Diagnostics (30 papers) and Immune cells in cancer (22 papers). Н. В. Чердынцева collaborates with scholars based in Russia, Germany and United Kingdom. Н. В. Чердынцева's co-authors include Julia Kzhyshkowska, Irina Larionova, Anastasia A. Ponomaryova, М. V. Zavyalova, V. М. Perelmuter, Н. В. Литвяков, Evgeny V. Denisov, М. Р. Патышева, M. N. Stakheyeva and Elena Y. Rykova and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Н. В. Чердынцева

171 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Н. В. Чердынцева Russia 26 1.2k 924 751 734 338 189 2.5k
He Zhou China 30 1.4k 1.2× 687 0.7× 808 1.1× 854 1.2× 323 1.0× 78 2.6k
Tiziana Triulzi Italy 30 1.7k 1.4× 1.4k 1.5× 1.2k 1.5× 713 1.0× 345 1.0× 61 3.3k
Aija Linē Latvia 26 1.9k 1.6× 768 0.8× 1.0k 1.4× 635 0.9× 321 0.9× 63 2.9k
Moshe Elkabets Israel 25 1.4k 1.1× 1.1k 1.1× 467 0.6× 1.2k 1.6× 295 0.9× 84 3.0k
Gwenola Manic Italy 20 1.3k 1.1× 868 0.9× 597 0.8× 963 1.3× 311 0.9× 30 2.6k
David B. Darr United States 25 1.4k 1.2× 937 1.0× 426 0.6× 470 0.6× 375 1.1× 49 2.7k
Arun Satelli United States 17 1.2k 1.0× 1.2k 1.3× 654 0.9× 520 0.7× 362 1.1× 24 2.5k
Xinhui Wang United States 21 828 0.7× 917 1.0× 459 0.6× 536 0.7× 251 0.7× 55 1.9k
Paola Nisticò Italy 28 1.3k 1.1× 1.2k 1.3× 556 0.7× 678 0.9× 221 0.7× 69 2.7k
David Gallego‐Ortega Australia 28 1.1k 0.9× 775 0.8× 445 0.6× 426 0.6× 189 0.6× 56 2.2k

Countries citing papers authored by Н. В. Чердынцева

Since Specialization
Citations

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

Fields of papers citing papers by Н. В. Чердынцева

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Н. В. Чердынцева

This figure shows the co-authorship network connecting the top 25 collaborators of Н. В. Чердынцева. A scholar is included among the top collaborators of Н. В. Чердынцева 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 Н. В. Чердынцева. Н. В. Чердынцева 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.
Xu, Wenya, Ziyi Zhu, Yaqin Hu, et al.. (2025). An injectable nanocomposite hydrogel with deep penetration ability for enhanced photothermal and chemotherapy. Journal of Colloid and Interface Science. 685. 268–279. 1 indexed citations
2.
Gervas, Polina, et al.. (2024). Exome Sequencing: the Search for Mutations Associated with Hereditary Breast and Ovarian Cancers in the Tuvan Ethnic Group (A Pilot Study). Bulletin of Experimental Biology and Medicine. 176(6). 801–805. 1 indexed citations
3.
4.
Perelmuter, V. М., O. E. Savelieva, М. V. Zavyalova, et al.. (2024). Characterization of EpCAM-Positive and EpCAM-Negative Tumor Cells in Early-Stage Breast Cancer. International Journal of Molecular Sciences. 25(20). 11109–11109. 3 indexed citations
5.
Патышева, М. Р., et al.. (2022). Monocyte programming by cancer therapy. Frontiers in Immunology. 13. 994319–994319. 40 indexed citations
6.
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
7.
Rykova, Elena Y., Anastasia A. Ponomaryova, Ivan A. Zaporozhchenko, et al.. (2018). Circulating DNA-based lung cancer diagnostics and follow-up: looking for epigenetic markers. Translational Cancer Research. 7(2). 4 indexed citations
8.
Larionova, Irina, et al.. (2018). CHITINASE-LIKE PROTEINS AS PROMISING MARKERS IN CANCER PATIENTS. Siberian Journal of Oncology. 17(4). 99–105. 2 indexed citations
9.
Цыганов, М. М., Maxim B. Freidin, М. К. Ибрагимова, et al.. (2017). Genetic variability in the regulation of the expression cluster of MDR genes in patients with breast cancer. Cancer Chemotherapy and Pharmacology. 80(2). 251–260. 4 indexed citations
10.
Литвяков, Н. В., М. М. Цыганов, М. К. Ибрагимова, et al.. (2017). EXPRESSION of MACROPHAGe-ASSOCIATED GENES IN BREAST TUMORS: RELATION TO TUMOR PROGRESSION. Siberian Journal of Oncology. 16(6). 47–56.
11.
Gervas, Polina, et al.. (2016). PROBLEM AND PERSPECTIVE TO IMPROVE MOLECULAR TESTING TO CHOOSE APPROPRIATE TARGET THERAPY. Siberian Journal of Oncology. 1 indexed citations
12.
Вторушин, С. В., et al.. (2016). LYMPHOGENIC METASTASIS IN LUMINAL-TYPE A BREASR CANCER. Siberian Journal of Oncology.
13.
Zavyalova, М. V., et al.. (2016). Predictive Significance of Vascular Endothelial Growth Factor receptor VEGF-2 in triple-negative breast cancer patients. Siberian Journal of Oncology. 15(5). 9–17.
14.
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
15.
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
16.
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
17.
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
18.
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
19.
Литвяков, Н. В., В. В. Ростов, М. А. Булдаков, et al.. (2006). Ингибирование пролиферации опухолевых клеток импульсно-периодическим рентгеновским излучением. Siberian Journal of Oncology. 1 indexed citations
20.
Schepetkin, Igor A., et al.. (1999). The Luminol-amplified Chemiluminescence of Neutrophils and Monocytes in Patients with Gastric Cancer after Intraoperative Radiotherapy using Radiosensitizer Sanazole. Cancer Biotherapy and Radiopharmaceuticals. 14(5). 397–402. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026