Vaidotas Stankevičius

828 total citations
22 papers, 632 citations indexed

About

Vaidotas Stankevičius is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Vaidotas Stankevičius has authored 22 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Vaidotas Stankevičius's work include Cancer Cells and Metastasis (7 papers), MicroRNA in disease regulation (6 papers) and Circular RNAs in diseases (5 papers). Vaidotas Stankevičius is often cited by papers focused on Cancer Cells and Metastasis (7 papers), MicroRNA in disease regulation (6 papers) and Circular RNAs in diseases (5 papers). Vaidotas Stankevičius collaborates with scholars based in Lithuania, United States and Germany. Vaidotas Stankevičius's co-authors include Jonas Cicenas, Mindaugas Valius, Kęstutis Sužiedėlis, K. Pavan Kalyan, Edvinas Stankunas, Algirdas Kaupinis, Jurgita Ušinskienė, Kotryna Kvederavičiūtė, Edita Meškinytė-Kaušilienė and Giedrius Vilkaitis and has published in prestigious journals such as Journal of the American Chemical Society, Molecular Cell and Scientific Reports.

In The Last Decade

Vaidotas Stankevičius

21 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vaidotas Stankevičius Lithuania 13 400 249 196 104 51 22 632
Lauren MacDonagh Ireland 8 361 0.9× 255 1.0× 239 1.2× 87 0.8× 52 1.0× 12 570
Marilù Fanelli Italy 15 336 0.8× 156 0.6× 172 0.9× 129 1.2× 38 0.7× 16 582
Joëlle Collignon Belgium 12 383 1.0× 257 1.0× 285 1.5× 127 1.2× 50 1.0× 59 699
Ekta Agarwal United States 17 542 1.4× 250 1.0× 136 0.7× 85 0.8× 68 1.3× 23 732
Cristina Mir Spain 14 547 1.4× 309 1.2× 245 1.3× 74 0.7× 33 0.6× 18 792
Maria Serena Roca Italy 14 457 1.1× 152 0.6× 184 0.9× 104 1.0× 32 0.6× 28 709
Daniela Frezzetti Italy 13 358 0.9× 266 1.1× 175 0.9× 110 1.1× 47 0.9× 18 613
Kay T. Yeung United States 10 557 1.4× 264 1.1× 299 1.5× 94 0.9× 47 0.9× 19 848
Btissame El Hassouni Netherlands 16 371 0.9× 198 0.8× 194 1.0× 67 0.6× 35 0.7× 26 654
Yoelsis Garcia‐Mayea Spain 15 574 1.4× 315 1.3× 251 1.3× 71 0.7× 35 0.7× 17 823

Countries citing papers authored by Vaidotas Stankevičius

Since Specialization
Citations

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

Fields of papers citing papers by Vaidotas Stankevičius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaidotas Stankevičius

This figure shows the co-authorship network connecting the top 25 collaborators of Vaidotas Stankevičius. A scholar is included among the top collaborators of Vaidotas Stankevičius 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 Vaidotas Stankevičius. Vaidotas Stankevičius 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.
Naumovas, Daniel, Audrius Dulskas, Virginijus Tunaitis, et al.. (2025). PARP9-PARP13-PARP14 axis tunes colorectal cancer response to radiotherapy. Journal of Experimental & Clinical Cancer Research. 44(1). 199–199.
2.
Dabkevičienė, Daiva, et al.. (2024). Prognostic Value of miR-10a-3p in Non-Small Cell Lung Cancer Patients. OncoTargets and Therapy. Volume 17. 1017–1032. 1 indexed citations
3.
Stankevičius, Vaidotas, et al.. (2024). Engineered Methionine Adenosyltransferase Cascades for Metabolic Labeling of Individual DNA Methylomes in Live Cells. Journal of the American Chemical Society. 146(27). 18722–18729. 4 indexed citations
4.
Stankevičius, Vaidotas, et al.. (2022). Selective chemical tracking of Dnmt1 catalytic activity in live cells. Molecular Cell. 82(5). 1053–1065.e8. 13 indexed citations
5.
Stankevičius, Vaidotas, Audrius Dulskas, Gediminas Alzbutas, et al.. (2020). 3D Cell Culture-Based Global miRNA Expression Analysis Reveals miR-142-5p as a Theranostic Biomarker of Rectal Cancer Following Neoadjuvant Long-Course Treatment. Biomolecules. 10(4). 613–613. 11 indexed citations
6.
Stankevičius, Vaidotas, et al.. (2020). A Bisulfite-free Approach for Base-Resolution Analysis of Genomic 5-Carboxylcytosine. Cell Reports. 32(11). 108155–108155. 13 indexed citations
7.
Kaupinis, Algirdas, Vaidotas Stankevičius, Kęstutis Sužiedėlis, et al.. (2019). Proteomic Analysis of Breast Cancer Resistance to the Anticancer Drug RH1 Reveals the Importance of Cancer Stem Cells. Cancers. 11(7). 972–972. 5 indexed citations
8.
9.
Stankevičius, Vaidotas, et al.. (2018). Microenvironment dependent gene expression signatures in reprogrammed human colon normal and cancer cell lines. BMC Cancer. 18(1). 222–222. 7 indexed citations
10.
Stankevičius, Vaidotas, et al.. (2018). Dichloroacetate and Salinomycin Exert a Synergistic Cytotoxic Effect in Colorectal Cancer Cell Lines. Scientific Reports. 8(1). 17744–17744. 21 indexed citations
11.
Stankevičius, Vaidotas, et al.. (2018). Non-Coding RNAs in Glioma. Cancers. 11(1). 17–17. 109 indexed citations
12.
Stankevičius, Vaidotas, et al.. (2017). Down-regulation of miRNA-148a and miRNA-625-3p in colorectal cancer is associated with tumor budding. BMC Cancer. 17(1). 607–607. 40 indexed citations
13.
Stankevičius, Vaidotas, et al.. (2017). Gene and miRNA expression profiles of mouse Lewis lung carcinoma LLC1 cells following single or fractionated dose irradiation. Oncology Letters. 13(6). 4190–4200. 12 indexed citations
14.
Cicenas, Jonas, Kotryna Kvederavičiūtė, K. Pavan Kalyan, et al.. (2017). KRAS, NRAS and BRAF mutations in colorectal cancer and melanoma. Medical Oncology. 34(2). 26–26. 95 indexed citations
15.
Stankevičius, Vaidotas, et al.. (2017). The expression of cancer stem cell markers in human colorectal carcinoma cells in a microenvironment dependent manner. Biochemical and Biophysical Research Communications. 484(4). 726–733. 32 indexed citations
16.
Stankevičius, Vaidotas, et al.. (2017). Microenvironment and Dose-Delivery-Dependent Response after Exposure to Ionizing Radiation in Human Colorectal Cancer Cell Lines. Radiation Research. 188(3). 291–291. 6 indexed citations
17.
Stankevičius, Vaidotas, et al.. (2016). Gene and miRNA expression signature of Lewis lung carcinoma LLC1 cells in extracellular matrix enriched microenvironment. BMC Cancer. 16(1). 13 indexed citations
18.
Stankevičius, Vaidotas, et al.. (2016). Extracellular Matrix-dependent Pathways in Colorectal Cancer Cell Lines Reveal Potential Targets for Anticancer Therapies. Anticancer Research. 36(9). 4559–4568. 13 indexed citations
19.
Cicenas, Jonas, K. Pavan Kalyan, Edvinas Stankunas, et al.. (2015). Roscovitine in cancer and other diseases.. PubMed. 3(10). 135–135. 168 indexed citations
20.
Dabkevičienė, Daiva, et al.. (2011). mTHPC‐mediated Photodynamic Treatment Up‐regulates the Cytokines VEGF and IL‐1alpha. Photochemistry and Photobiology. 88(2). 432–439. 18 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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