Л. А. Таширева

1.1k total citations
94 papers, 741 citations indexed

About

Л. А. Таширева is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Л. А. Таширева has authored 94 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Oncology, 24 papers in Pulmonary and Respiratory Medicine and 22 papers in Molecular Biology. Recurrent topics in Л. А. Таширева's work include Cancer Cells and Metastasis (34 papers), Cancer Immunotherapy and Biomarkers (19 papers) and Cancer Genomics and Diagnostics (10 papers). Л. А. Таширева is often cited by papers focused on Cancer Cells and Metastasis (34 papers), Cancer Immunotherapy and Biomarkers (19 papers) and Cancer Genomics and Diagnostics (10 papers). Л. А. Таширева collaborates with scholars based in Russia, Sweden and France. Л. А. Таширева's co-authors include V. М. Perelmuter, Evgeny V. Denisov, М. V. Zavyalova, O. E. Savelieva, Н. В. Чердынцева, Е. В. Кайгородова, С. В. Вторушин, Tatiana S. Gerashchenko, N. V. Krakhmal and Sophie Vacher and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and Scientific Reports.

In The Last Decade

Л. А. Таширева

79 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Л. А. Таширева Russia 17 375 275 227 133 117 94 741
Laura Gómez-Cuadrado United Kingdom 9 392 1.0× 347 1.3× 152 0.7× 159 1.2× 92 0.8× 9 745
Mahak Singhal Germany 14 321 0.9× 506 1.8× 302 1.3× 128 1.0× 86 0.7× 18 884
Stefania Berton Italy 16 405 1.1× 400 1.5× 265 1.2× 79 0.6× 66 0.6× 28 858
Aude Mallavialle France 15 337 0.9× 409 1.5× 161 0.7× 184 1.4× 57 0.5× 23 791
Melissa C Adriance United States 7 380 1.0× 472 1.7× 154 0.7× 150 1.1× 77 0.7× 7 805
Guoyu Yu United States 16 315 0.8× 408 1.5× 193 0.9× 73 0.5× 195 1.7× 39 779
Michiko Harao Japan 16 329 0.9× 362 1.3× 132 0.6× 377 2.8× 88 0.8× 36 915
Marta Sesé Spain 10 173 0.5× 444 1.6× 232 1.0× 86 0.6× 94 0.8× 18 742
Jay Overholser United States 11 358 1.0× 439 1.6× 157 0.7× 186 1.4× 117 1.0× 16 767
Hua Kang China 15 416 1.1× 293 1.1× 128 0.6× 202 1.5× 49 0.4× 38 858

Countries citing papers authored by Л. А. Таширева

Since Specialization
Citations

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

Fields of papers citing papers by Л. А. Таширева

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Л. А. Таширева

This figure shows the co-authorship network connecting the top 25 collaborators of Л. А. Таширева. A scholar is included among the top collaborators of Л. А. Таширева 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 Л. А. Таширева. Л. А. Таширева 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.
Таширева, Л. А., et al.. (2025). Predicting immunotherapy efficacy in endometrial cancer: focus on the tumor microenvironment. Frontiers in Immunology. 15. 1523518–1523518. 4 indexed citations
2.
Zelchan, Roman, В. И. Чернов, Alexey Schulga, et al.. (2024). Phase I Clinical Evaluation of Designed Ankyrin Repeat Protein [99mTc]Tc(CO)3-(HE)3-Ec1 for Visualization of EpCAM-Expressing Lung Cancer. Cancers. 16(16). 2815–2815. 5 indexed citations
3.
4.
Perelmuter, V. М., et al.. (2024). Visualization of PD-L1-positive and PD-1-positive immune cell contact in the breast cancer microenvironment. SHILAP Revista de lepidopterología. 23(1). 87–97. 1 indexed citations
5.
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
6.
7.
Таширева, Л. А., et al.. (2023). Non-structural role of cytokeratins in malignant neoplasms. SHILAP Revista de lepidopterología. 10(4). 76–85.
8.
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
9.
Zavyalova, М. V., et al.. (2023). Relationship of the integrin profile of the primary tumor to metastasis to regional lymph nodes in breast cancer. SHILAP Revista de lepidopterología. 25(3). 330–335. 1 indexed citations
10.
Таширева, Л. А., et al.. (2023). Spatial Heterogeneity of Integrins and Their Ligands in Primary Breast Tumors. Discovery Medicine. 35(178). 910–910. 6 indexed citations
11.
Таширева, Л. А., et al.. (2023). Subpopulations of B lymphocytes in patients with breast cancer depending on the PD-L1 status. SHILAP Revista de lepidopterología. 22(1). 88–95.
12.
Comunale, Franck, Damien Planchon, Sophie Vacher, et al.. (2022). Upregulated flotillins and sphingosine kinase 2 derail AXL vesicular traffic to promote epithelial-mesenchymal transition. Journal of Cell Science. 135(7). 6 indexed citations
13.
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.
14.
Xu, Tianqi, Anzhelika Vorobyeva, Alexey Schulga, et al.. (2021). Imaging-Guided Therapy Simultaneously Targeting HER2 and EpCAM with Trastuzumab and EpCAM-Directed Toxin Provides Additive Effect in Ovarian Cancer Model. Cancers. 13(16). 3939–3939. 11 indexed citations
15.
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
16.
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
17.
Savelieva, O. E., Л. А. Таширева, М. А. Булдаков, et al.. (2018). CXCR4 EXPRESSION IN DIFFERENT SUBSETS OF CTCs AND SINGLE (DETACHED) BREAST CANCER CELLS. Siberian Journal of Oncology. 17(4). 75–80. 1 indexed citations
18.
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
19.
Таширева, Л. А., et al.. (2017). Types of immune-inflammatory responses as a reflection of cell–cell interactions under conditions of tissue regeneration and tumor growth. Biochemistry (Moscow). 82(5). 542–555. 18 indexed citations
20.
Ryazantsevа, N. V., et al.. (2011). The role of intracellular gaseous transmitters hydrogen sulfide and nitric oxide in apoptosis regulation of normal and cancer cells. SHILAP Revista de lepidopterología. 10(6). 40–44. 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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