Vladislav V. Glinsky

2.7k total citations
48 papers, 2.3k citations indexed

About

Vladislav V. Glinsky is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Vladislav V. Glinsky has authored 48 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Immunology. Recurrent topics in Vladislav V. Glinsky's work include Glycosylation and Glycoproteins Research (11 papers), Galectins and Cancer Biology (10 papers) and Medical Image Segmentation Techniques (8 papers). Vladislav V. Glinsky is often cited by papers focused on Glycosylation and Glycoproteins Research (11 papers), Galectins and Cancer Biology (10 papers) and Medical Image Segmentation Techniques (8 papers). Vladislav V. Glinsky collaborates with scholars based in United States, United Kingdom and Czechia. Vladislav V. Glinsky's co-authors include Olga V. Glinskii, Gennadi V. Glinsky, Avraham Raz, Thomas P. Quinn, Virginia H. Huxley, Susan L. Deutscher, Kenneth J. Pienta, Gennadi V. Glinsky, Valeri V. Mossine and Margaret E. Huflejt and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and The Journal of Physiology.

In The Last Decade

Vladislav V. Glinsky

47 papers receiving 2.2k citations

Peers

Vladislav V. Glinsky
Olga V. Glinskii United States
Jens Rauch Ireland
Louis Fabri Australia
Prafulla C. Gokhale United States
Zhihong Zeng United States
Deirdre A. Nelson United States
Olga V. Glinskii United States
Vladislav V. Glinsky
Citations per year, relative to Vladislav V. Glinsky Vladislav V. Glinsky (= 1×) peers Olga V. Glinskii

Countries citing papers authored by Vladislav V. Glinsky

Since Specialization
Citations

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

Fields of papers citing papers by Vladislav V. Glinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladislav V. Glinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Vladislav V. Glinsky. A scholar is included among the top collaborators of Vladislav V. Glinsky 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 Vladislav V. Glinsky. Vladislav V. Glinsky 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.
Xie, Leike, Zhe Sun, Nicola J. Brown, et al.. (2022). Changes in dynamics of tumor/endothelial cell adhesive interactions depending on endothelial cell growth state and elastic properties. PLoS ONE. 17(6). e0269552–e0269552. 3 indexed citations
2.
Glinskii, Olga V., Virginia H. Huxley, Leike Xie, et al.. (2019). Complex Non-sinus-associated Pachymeningeal Lymphatic Structures: Interrelationship With Blood Microvasculature. Frontiers in Physiology. 10. 1364–1364. 9 indexed citations
3.
Kassim, Yasmin M., Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, & Kannappan Palaniappan. (2018). Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery. PubMed. 2018. 1–5. 1 indexed citations
5.
Trache, Andreea, et al.. (2018). Applications of Atomic Force Microscopy for Adhesion Force Measurements in Mechanotransduction. Methods in molecular biology. 1814. 515–528. 7 indexed citations
6.
Kassim, Yasmin M., V. B. Surya Prasath, Rengarajan Pelapur, et al.. (2016). Random forests for dura mater microvasculature segmentation using epifluorescence images. PubMed. 2016. 2901–2904. 18 indexed citations
7.
Prasath, V. B. Surya, Rengarajan Pelapur, Olga V. Glinskii, et al.. (2015). Multiscale tensor anisotropic filtering of fluorescence microscopy for denoising microvasculature. PubMed. 13. 540–543. 9 indexed citations
8.
Glinskii, Olga V., Sudha Sud, Valeri V. Mossine, et al.. (2012). Inhibition of Prostate Cancer Bone Metastasis by Synthetic TF Antigen Mimic/Galectin-3 Inhibitor Lactulose-l-Leucine. Neoplasia. 14(1). 65–73. 79 indexed citations
9.
Li, Feng, Olga V. Glinskii, & Vladislav V. Glinsky. (2012). Glycobioinformatics: Current strategies and tools for data mining in MS‐based glycoproteomics. PROTEOMICS. 13(2). 341–354. 30 indexed citations
10.
Glinsky, Vladislav V., Galina M. Kiriakova, Olga V. Glinskii, et al.. (2009). Synthetic Galectin-3 Inhibitor Increases Metastatic Cancer Cell Sensitivity to Taxol-Induced Apoptosis In Vitro and In Vivo. Neoplasia. 11(9). 901–909. 47 indexed citations
11.
Heimburg‐Molinaro, Jamie, Ahmad Almogren, Susan Morey, et al.. (2009). Development, Characterization, and Immunotherapeutic Use of Peptide Mimics of the Thomsen-Friedenreich Carbohydrate Antigen. Neoplasia. 11(8). 780–792. 36 indexed citations
12.
Glinskii, Olga V., Tsghe Abraha, James R. Turk, Vladislav V. Glinsky, & Virginia H. Huxley. (2008). PDGF/VEGF system activation and angiogenesis following initial post ovariectomy meningeal microvessel loss. Cell Cycle. 7(10). 1385–1390. 6 indexed citations
13.
Glinsky, Vladislav V. & Avraham Raz. (2008). Modified citrus pectin anti-metastatic properties: one bullet, multiple targets. Carbohydrate Research. 344(14). 1788–1791. 224 indexed citations
14.
Glinskii, Olga V., Valeri V. Mossine, James R. Turk, et al.. (2007). Galectin-3 as a Potential Therapeutic Target in Tumors Arising from Malignant Endothelia. Neoplasia. 9(8). 662–670. 84 indexed citations
15.
Glinskii, Olga V., Tsghe Abraha, James R. Turk, et al.. (2007). Microvascular network remodeling in dura mater of ovariectomized pigs: role for angiopoietin-1 in estrogen-dependent control of vascular stability. American Journal of Physiology-Heart and Circulatory Physiology. 293(2). H1131–H1137. 20 indexed citations
16.
Glinsky, Vladislav V.. (2006). Intravascular cell-to-cell adhesive interactions and bone metastasis. Cancer and Metastasis Reviews. 25(4). 531–540. 29 indexed citations
17.
Landon, Linda A., et al.. (2003). Combinatorial Evolution of High-Affinity Peptides That Bind to the Thomsen-Friedenreich Carcinoma Antigen. Journal of Protein Chemistry. 22(2). 193–204. 27 indexed citations
18.
Glinsky, Vladislav V., et al.. (2002). Identification and Characterization of Peptides That Bind Human ErbB-2 Selected from a Bacteriophage Display Library. Journal of Protein Chemistry. 21(4). 287–296. 80 indexed citations
19.
Glinsky, Gennadi V., Valeri V. Mossine, Janet E. Price, et al.. (1996). Inhibition of colony formation in agarose of metastatic human breast carcinoma and melanoma cells by synthetic glycoamine analogs. Clinical & Experimental Metastasis. 14(3). 253–267. 37 indexed citations
20.
Glinsky, Gennadi V. & Vladislav V. Glinsky. (1996). Apoptosis and metastasis: a superior resistance of metastatic cancer cells to programmed cell death. Cancer Letters. 101(1). 43–51. 102 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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