Т. Н. Власик

560 total citations
31 papers, 291 citations indexed

About

Т. Н. Власик is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Т. Н. Власик has authored 31 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Immunology. Recurrent topics in Т. Н. Власик's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Platelet Disorders and Treatments (6 papers) and Cell Adhesion Molecules Research (6 papers). Т. Н. Власик is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Platelet Disorders and Treatments (6 papers) and Cell Adhesion Molecules Research (6 papers). Т. Н. Власик collaborates with scholars based in Russia, Australia and United Kingdom. Т. Н. Власик's co-authors include А. В. Мазуров, Lev P. Ovchinnikov, Alexander S. Spirin, Michael C. Berndt, William J. Booth, Repin Vs, Tatiana V. Byzova, Alexander Shevelev, С. Г. Хаспекова and MC Berndt and has published in prestigious journals such as FEBS Letters, British Journal of Haematology and Atherosclerosis.

In The Last Decade

Т. Н. Власик

29 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Т. Н. Власик Russia 10 114 103 66 56 53 31 291
Simone Schuhler France 11 65 0.6× 280 2.7× 51 0.8× 52 0.9× 73 1.4× 13 375
L A MacPhail United States 6 61 0.5× 285 2.8× 21 0.3× 27 0.5× 28 0.5× 7 366
Rui-Ping Dong China 10 150 1.3× 39 0.4× 84 1.3× 62 1.1× 31 0.6× 18 358
Günther Bode Germany 7 234 2.1× 48 0.5× 115 1.7× 34 0.6× 60 1.1× 7 359
BN Bouma Netherlands 11 42 0.4× 426 4.1× 77 1.2× 39 0.7× 41 0.8× 21 529
Simona Di Terlizzi Italy 10 91 0.8× 99 1.0× 113 1.7× 31 0.6× 6 0.1× 14 286
Christopher S. Barnes Canada 6 162 1.4× 33 0.3× 49 0.7× 28 0.5× 21 0.4× 8 296
Yung Chyung United States 7 166 1.5× 35 0.3× 85 1.3× 14 0.3× 25 0.5× 19 359
Raffaella Toso United States 14 76 0.7× 549 5.3× 24 0.4× 70 1.3× 18 0.3× 23 613
Simon Strietholt Germany 7 193 1.7× 35 0.3× 97 1.5× 9 0.2× 17 0.3× 10 368

Countries citing papers authored by Т. Н. Власик

Since Specialization
Citations

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

Fields of papers citing papers by Т. Н. Власик

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Т. Н. Власик

This figure shows the co-authorship network connecting the top 25 collaborators of Т. Н. Власик. A scholar is included among the top collaborators of Т. Н. Власик 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 Т. Н. Власик. Т. Н. Власик 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.
Рыбалкин, И. Н., et al.. (2023). β1-adrenergic Receptor Solubilized in the Form of Nanodiscs: Screening of Various Amphipatic Polymers. 6(4). e00206–e00206.
2.
Чернов, А. С., В. А. Казаков, И. Н. Рыбалкин, et al.. (2022). A new mouse unilateral model of diffuse alveolar damage of the lung. Inflammation Research. 71(5-6). 627–639. 7 indexed citations
3.
Мазуров, А. В., et al.. (2015). Use of the Antiplatelet Agent Ruciromab for Thromboprophylaxis in Patients With Cardiac Ischemia Undergoing Coronary Angioplasty. Kardiologiia. 12_2015(12). 90–98. 1 indexed citations
4.
Сергиенко, И. В., et al.. (2014). Lipoprotein-Associated Phospholipase A2 Serum Levels in Patients From Different Categories of Cardiovascular Risk. Kardiologiia. 3_2014(3). 57–63. 2 indexed citations
5.
Макаревич, П. И., Alexander Shevelev, И. Н. Рыбалкин, et al.. (2010). Novel plasmid constructs with angiogenic growth factors genes - human VEGF, HGF and angiopoietin-1 for therapeutic angiogenesis. Genes and Cells. 5(1). 47–52. 4 indexed citations
6.
Тихазе, А. К., et al.. (2010). Interrelation between Malonyl Dialdehyde-Dependent Modification and Cholesterol Content in Low-Density Lipoproteins. Bulletin of Experimental Biology and Medicine. 149(2). 184–186. 1 indexed citations
7.
Ilyinskaya, O.P., et al.. (2006). Mo-P3:226 Stable transduktion of murine bone marrow LIN-C-KIT+ subpopulation with HIV-based pseudoviral particles. Atherosclerosis Supplements. 7(3). 96–96.
8.
Melnichenko, Alexandra А., et al.. (2005). Phospholipid Hydrolysis with Phospholipases A2 and C Impairs Apolipoprotein B-100 Conformation on the Surface of Low Density Lipoproteins by Reducing Their Association Resistance. Bulletin of Experimental Biology and Medicine. 140(4). 419–422. 2 indexed citations
9.
Власик, Т. Н., et al.. (2004). Development of Antibody to Human GM3 Synthase and Immunodetection of the Enzyme in Human Tissues. Biochemistry (Moscow). 69(3). 275–280. 5 indexed citations
10.
Власик, Т. Н., et al.. (2004). [Antiplatelet effects of glycoproteins IIb-IIIa antagonist monafram].. PubMed. 90(5). 586–99. 6 indexed citations
11.
Мазуров, А. В., O. A. Antonova, Tatiana V. Byzova, et al.. (2002). Safety, inhibition of platelet aggregation and pharmacokinetics of F(ab′) 2 fragments of the anti-glycoprotein IIb-IIIa monoclonal antibody FRaMon in high-risk coronary angioplasty. Platelets. 13(8). 465–477. 18 indexed citations
12.
Mitkevich, Olga V., et al.. (1996). Monoclonal antibody directed to a fibrinogen A?? #529???539 epitope inhibits ??-chain crosslinking by transglutaminases. Blood Coagulation & Fibrinolysis. 7(1). 85–92. 9 indexed citations
13.
Byzova, Tatiana V., Т. Н. Власик, & А. В. Мазуров. (1994). Inhibition of platelet aggregation by monoclonal antibodies against glycoprotein IIb–IIIa complex. Bulletin of Experimental Biology and Medicine. 118(4). 1102–1105. 7 indexed citations
15.
Мазуров, А. В., et al.. (1991). Characterization of an antiglycoprotein Ib monoclonal antibody that specifically inhibits platelet-thrombin interaction. Thrombosis Research. 62(6). 673–684. 39 indexed citations
16.
Shekhonin, B. V., Э. М. Тарарак, Gennady P. Samokhin, et al.. (1990). Visualization of apo B, fibrinogen/fibrin, and fibronectin in the intima of normal human aorta and large arteries and during atherosclerosis. Atherosclerosis. 82(3). 213–226. 17 indexed citations
17.
Shnyra, Alex, et al.. (1990). Monoclonal Antibody to Lipid a Prevents the Development of Haemodynamic Disorders in Endotoxemia. Advances in experimental medicine and biology. 256. 681–684. 3 indexed citations
18.
Власик, Т. Н., et al.. (1980). RNA‐binding activity of eukaryotic initiation factors of translation. FEBS Letters. 116(1). 8–10. 6 indexed citations
19.
Власик, Т. Н., et al.. (1978). Translation factors of the wheat embryo extract are RNA‐binding proteins. FEBS Letters. 88(1). 18–20. 28 indexed citations
20.
Власик, Т. Н., et al.. (1978). Difference in RNA‐binding ability between eukaryotic and prokaryotic elongation factors of translation. FEBS Letters. 96(1). 207–210. 19 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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