В. Е. Шевченко

645 total citations
57 papers, 491 citations indexed

About

В. Е. Шевченко is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, В. Е. Шевченко has authored 57 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 13 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in В. Е. Шевченко's work include Cancer Cells and Metastasis (10 papers), Glioma Diagnosis and Treatment (6 papers) and Advanced Proteomics Techniques and Applications (6 papers). В. Е. Шевченко is often cited by papers focused on Cancer Cells and Metastasis (10 papers), Glioma Diagnosis and Treatment (6 papers) and Advanced Proteomics Techniques and Applications (6 papers). В. Е. Шевченко collaborates with scholars based in Russia, Sweden and Ukraine. В. Е. Шевченко's co-authors include Igor Bryukhovetskiy, Andrey S. Bryukhovetskiy, Catarina Brito, Marta F Estrada, С. В. Ковалев, Paula M. Alves, Rita Costa, Sofia P. Rebelo, Hari Shanker Sharma and Давид Заридзе and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Oncology and Toxicological Sciences.

In The Last Decade

В. Е. Шевченко

49 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
В. Е. Шевченко Russia	13	207	114	77	76	74	57	491
Shuai Zhao China	14	273 1.3×	173 1.5×	100 1.3×	45 0.6×	16 0.2×	41	669
Wei Hang China	8	360 1.7×	194 1.7×	114 1.5×	43 0.6×	30 0.4×	30	660
Hongxia Cheng China	16	406 2.0×	164 1.4×	136 1.8×	50 0.7×	13 0.2×	51	676
Jiahui Yang China	14	381 1.8×	184 1.6×	48 0.6×	25 0.3×	21 0.3×	52	686
Guoqing Li China	16	380 1.8×	106 0.9×	180 2.3×	35 0.5×	12 0.2×	35	650
Xu Shi China	15	263 1.3×	72 0.6×	125 1.6×	57 0.8×	38 0.5×	32	677
Zhuangzhuang Zheng China	17	312 1.5×	211 1.9×	207 2.7×	135 1.8×	61 0.8×	39	851
Yating Zhang China	11	166 0.8×	163 1.4×	106 1.4×	51 0.7×	32 0.4×	30	569
Jiayi Zhu China	12	119 0.6×	84 0.7×	69 0.9×	15 0.2×	15 0.2×	39	366

Countries citing papers authored by В. Е. Шевченко

Since Specialization

Citations

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

Fields of papers citing papers by В. Е. Шевченко

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of В. Е. Шевченко

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

All Works

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20 of 20 papers shown

Шевченко, В. Е., V. G. Kucheryanu, В. С. Косоруков, et al.. (2023). Secondary Metabolites of Oplopanax elatus: Possibilities for Standardization of a Multiphytoadaptogen for Preventive Oncology. Pharmaceutical Chemistry Journal. 57(1). 75–82. 2 indexed citations

Шевченко, В. Е., et al.. (2023). Identification of predictive markers in the cerebrospinal fluid of patients with glioblastoma. SHILAP Revista de lepidopterología. 10(2). 117–125. 1 indexed citations

Бочарова, О. А., В. Е. Шевченко, V. G. Kucheryanu, et al.. (2022). Computer‐aided Evaluation of Polyvalent Medications’ Pharmacological Potential. Multiphytoadaptogen as a Case Study. Molecular Informatics. 42(1). e2200176–e2200176. 3 indexed citations

Шевченко, В. Е., et al.. (2022). Ferroptosis determinants - potential therapeutic targets glioblastoma stem cells. SHILAP Revista de lepidopterología. 9(3). 60–68.

Kudryavtsev, I. A., et al.. (2021). Study of the effect of curcumin on excision DNA repair in U251 glioblastoma multiforme cells. SHILAP Revista de lepidopterología. 8(4). 75–83.

Шевченко, В. Е., et al.. (2021). The effect of hypoxia on the secretome of human glioblastoma multiforme cells. SHILAP Revista de lepidopterología. 8(1). 32–40.

Шевченко, В. Е., et al.. (2020). Proteins of Wnt signaling pathway in cancer stem cells of human glioblastoma. International review of neurobiology. 151. 185–200. 16 indexed citations

Шевченко, В. Е., et al.. (2020). The therapeutic potential of curcumin for the treatment of glioblastoma multiforme. SHILAP Revista de lepidopterología. 7(1). 8–16. 1 indexed citations

Шевченко, В. Е., et al.. (2019). Wnt-signaling pathway in pathogenesis of glioblastoma multiforme. SHILAP Revista de lepidopterología. 5(4). 94–103. 1 indexed citations

10.

Шевченко, В. Е., et al.. (2018). Exosomal proteins as potential markers of multiple myeloma diagnostics. Advances in molecular oncology. 5(1). 60–69.

11.

Шевченко, В. Е., et al.. (2017). The transforming growth factor beta-1 in the oncogenesis of human lung adenocarcinoma. Advances in molecular oncology. 4(3). 67–74. 4 indexed citations

12.

Wenum, Martien van, Theodorus B. M. Hakvoort, Erik Hendriks, et al.. (2016). Selecting Cells for Bioartificial Liver Devices and the Importance of a 3D Culture Environment: A Functional Comparison between the HepaRG and C3A Cell Lines. International Journal of Biological Sciences. 12(8). 964–978. 36 indexed citations

13.

Bryukhovetskiy, Igor & В. Е. Шевченко. (2016). Molecular mechanisms of the effect of TGF-β1 on U87 human glioblastoma cells. Oncology Letters. 12(2). 1581–1590. 32 indexed citations

14.

Bryukhovetskiy, Igor, et al.. (2016). Tumor stem cells from glioblastoma multiforme. Advances in molecular oncology. 3(2). 26–33. 3 indexed citations

15.

Шевченко, В. Е., et al.. (2016). Ginsenosides definition in plant extracts by means of high through liquid chromatography with tandem mass-spectrometry. Russian Journal of Biotherapy. 15(2). 36–46. 4 indexed citations

16.

Шевченко, В. Е., et al.. (2015). miR-21 and miR-155 in the regulation of TGF-β1/SMAD signaling pathway of the line breast cancer cells with different metastatic potential. SHILAP Revista de lepidopterología. 11(3). 15–21. 1 indexed citations

17.

Krivtsun, I.V., et al.. (2015). Modelling the characteristics of constricted-arc plasma in straight and reverse polarity air-plasma cutting. The Paton Welding Journal. 2015(10). 10–18. 2 indexed citations

18.

Klein, Sebastian G., Silvia Maggioni, Daniel Mueller, et al.. (2015). In SilicoModeling for the Prediction of Dose and Pathway-Related Adverse Effects in Humans FromIn VitroRepeated-Dose Studies. Toxicological Sciences. 149(1). 55–66. 12 indexed citations

19.

Matveev, V. B., et al.. (2014). PROGNOSTIC FACTORS OF BIOCHEMICAL RECURRENCE AFTER RADICAL PROSTATECTOMY FOR LOCALIZED AND LOCALLY-ADVANCED PROSTATE CANCER. SHILAP Revista de lepidopterología.

20.

Шевченко, В. Е., et al.. (2014). Mapping of proteomic lysate of a MCF-7 cancer cell line for the identification of potential markers for breast cancer. SHILAP Revista de lepidopterología. 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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