V. B. Vasilyev

2.2k total citations
101 papers, 1.7k citations indexed

About

V. B. Vasilyev is a scholar working on Immunology, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, V. B. Vasilyev has authored 101 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Immunology, 31 papers in Nutrition and Dietetics and 28 papers in Molecular Biology. Recurrent topics in V. B. Vasilyev's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (37 papers), Trace Elements in Health (22 papers) and Nitric Oxide and Endothelin Effects (19 papers). V. B. Vasilyev is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (37 papers), Trace Elements in Health (22 papers) and Nitric Oxide and Endothelin Effects (19 papers). V. B. Vasilyev collaborates with scholars based in Russia, Belarus and United Kingdom. V. B. Vasilyev's co-authors include Sokolov Av, Е. Т. Захарова, В. А. Костевич, M. O. Pulina, О. М. Панасенко, В. Р. Самыгина, И. В. Горудко, Irina I. Vlasova, D. V. Grigorieva and С. Н. Черенкевич and has published in prestigious journals such as Genes & Development, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

V. B. Vasilyev

99 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. B. Vasilyev Russia 27 637 558 505 283 219 101 1.7k
Satoru Yamasaki Japan 19 741 1.2× 1.1k 2.0× 789 1.6× 184 0.7× 241 1.1× 37 2.5k
Xi Yuan Sweden 36 639 1.0× 271 0.5× 1.3k 2.5× 257 0.9× 294 1.3× 100 3.1k
В. А. Костевич Russia 19 377 0.6× 265 0.5× 220 0.4× 184 0.7× 82 0.4× 66 956
Michel Sève France 23 176 0.3× 830 1.5× 876 1.7× 135 0.5× 219 1.0× 98 2.3k
Thomas Müller Austria 29 200 0.3× 434 0.8× 880 1.7× 173 0.6× 191 0.9× 113 2.4k
Chiara Murgia Australia 21 121 0.2× 842 1.5× 487 1.0× 156 0.6× 228 1.0× 48 1.9k
Samuel T. Test United States 14 759 1.2× 118 0.2× 580 1.1× 550 1.9× 278 1.3× 18 2.0k
Xiao‐Han Tang China 21 231 0.4× 205 0.4× 1.1k 2.2× 110 0.4× 73 0.3× 93 2.2k
Helena Block Germany 20 523 0.8× 131 0.2× 809 1.6× 117 0.4× 55 0.3× 46 1.6k
Juan M. Cárcamo United States 25 250 0.4× 642 1.2× 3.1k 6.2× 163 0.6× 81 0.4× 29 4.4k

Countries citing papers authored by V. B. Vasilyev

Since Specialization
Citations

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

Fields of papers citing papers by V. B. Vasilyev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. B. Vasilyev

This figure shows the co-authorship network connecting the top 25 collaborators of V. B. Vasilyev. A scholar is included among the top collaborators of V. B. Vasilyev 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 V. B. Vasilyev. V. B. Vasilyev 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.
2.
Vasilyev, V. B., Sascha Ott, Georg A. Bjarnason, et al.. (2024). TimeTeller: A tool to probe the circadian clock as a multigene dynamical system. PLoS Computational Biology. 20(2). e1011779–e1011779. 16 indexed citations
3.
Горудко, И. В., D. V. Grigorieva, N. Gorbunov, et al.. (2022). Structure-biological activity relationships of myeloperoxidase to effect on platelet activation. Archives of Biochemistry and Biophysics. 728. 109353–109353. 2 indexed citations
4.
Vasilyev, V. B., et al.. (2022). Analysis of the low density lipoprotein receptor gene (<i>LDLR</i>) mutation spectrum in Russian familial hypercholesterolemia. Vavilov Journal of Genetics and Breeding. 26(3). 319–326. 1 indexed citations
5.
Av, Sokolov, V. B. Vasilyev, & В. Р. Самыгина. (2022). X-Ray Analysis of the Monoclinic Crystal Form of Human Ceruloplasmin. Crystallography Reports. 67(6). 886–891.
6.
Av, Sokolov, et al.. (2021). Myeloperoxidase/high-density lipoprotein cholesterol ratio in patients with arterial hypertension and chronic coronary heart disease. Medical academic journal. 21(2). 75–86. 4 indexed citations
7.
Av, Sokolov, et al.. (2020). Potential role of lactoferrin in early diagnostics and treatment of Parkinson disease. Medical academic journal. 20(1). 37–44. 9 indexed citations
8.
Vasilyev, V. B.. (2019). Looking for a partner: ceruloplasmin in protein–protein interactions. BioMetals. 32(2). 195–210. 37 indexed citations
9.
Av, Sokolov, Maxim V. Petoukhov, Gleb Bourenkov, et al.. (2018). Structural Study of the Complex Formed by Ceruloplasmin and Macrophage Migration Inhibitory Factor. Biochemistry (Moscow). 83(6). 701–707. 5 indexed citations
10.
Kuznetsova, Т. Yu., et al.. (2017). [The Familial Hypercholesterolemia Caused by a Novel Human Low Density Lipoprotein Receptor Gene Mutation c.1327 T>C (p.W433R)].. PubMed. 57(2). 12–16. 2 indexed citations
11.
Av, Sokolov, et al.. (2017). EFFECT OF ARGININE DEIMINASE FROM STREPTOCOCCUS PYOGENES ON CYTOSKELETON STRUCTURE AND MIGRATION ACTIVITY OF HUMAN ENDOTHELIAL CELLS. Medical Immunology (Russia). 19(5). 521–528. 2 indexed citations
12.
Kudryavtsev, I. V., et al.. (2017). ACTIVATED PRODUCING HOCL NEUTROPHILS REVEALED BY FLOW CYTOMETRY AND CONFOCAL MICROSCOPY WITH CELESTINE BLUE B. SHILAP Revista de lepidopterología. 1(3). 86–91. 4 indexed citations
13.
Суворов, А. Н., et al.. (2016). A ROLE OF ARGININE DEIMINASE FROM STREPTOCOCCUS PYOGENES M49-16 IN PROMOTING INFECTION AND INHIBITION OF ENDOTHELIAL CELL PROLIFERATION. Medical Immunology (Russia). 18(6). 555–562. 3 indexed citations
14.
Av, Sokolov, et al.. (2016). The biodegradation of fullerene C60 by myeloperoxidase. Doklady Biochemistry and Biophysics. 471(1). 417–420. 9 indexed citations
15.
Самыгина, В. Р., Sokolov Av, Gleb Bourenkov, et al.. (2013). Ceruloplasmin: Macromolecular Assemblies with Iron-Containing Acute Phase Proteins. PLoS ONE. 8(7). e67145–e67145. 83 indexed citations
16.
Константинов, В. О., et al.. (2013). “Finnish” Mutations in LDL Receptor Gene: A Rare Cause of Familial Hypercholesterolemia in St. Petersburg and Petrozavodsk. Bulletin of Experimental Biology and Medicine. 155(3). 380–383. 4 indexed citations
17.
Vasilyev, V. B., et al.. (2013). Transmission of human mitochondrial DNA along the paternal lineage in transmitochondrial mice. Mitochondrion. 13(4). 330–336. 5 indexed citations
18.
Av, Sokolov, et al.. (2010). Interaction of ceruloplasmin and 5-lipoxygenase. Biochemistry (Moscow). 75(12). 1464–1469. 18 indexed citations
19.
Av, Sokolov, M. O. Pulina, В. Р. Самыгина, et al.. (2008). Ceruloplasmin and myeloperoxidase in complex affect the enzymatic properties of each other. Free Radical Research. 42(11-12). 989–998. 62 indexed citations
20.
Sorokin, Alexander V., et al.. (2006). Assaying the probabilities of obtaining maternally inherited heteroplasmy as the basis for modeling OXPHOS diseases in animals. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1757(5-6). 679–685. 5 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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