Е. В. Васильева

504 total citations
85 papers, 354 citations indexed

About

Е. В. Васильева is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Е. В. Васильева has authored 85 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 15 papers in Organic Chemistry. Recurrent topics in Е. В. Васильева's work include Neuroscience and Neuropharmacology Research (17 papers), Natural product bioactivities and synthesis (13 papers) and Pharmacological Effects of Natural Compounds (11 papers). Е. В. Васильева is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Natural product bioactivities and synthesis (13 papers) and Pharmacological Effects of Natural Compounds (11 papers). Е. В. Васильева collaborates with scholars based in Russia, Czechia and Italy. Е. В. Васильева's co-authors include Г. И. Ковалев, В. Н. Даниленко, Е. У. Полуэктова, М. В. Марсова, Roman А. Yunes, Г. А. Толстиков, Л. А. Балтина, Р. М. Салимов, Л. В. Спирихин and Р. М. Кондратенко and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and European Journal of Pharmacology.

In The Last Decade

Е. В. Васильева

70 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Е. В. Васильева Russia 9 162 75 55 51 48 85 354
Nutan Nutan India 8 93 0.6× 31 0.4× 152 2.8× 24 0.5× 47 1.0× 17 505
Berenice Venegas Mexico 16 244 1.5× 91 1.2× 37 0.7× 13 0.3× 15 0.3× 32 590
Yun‐Ju Huang Taiwan 14 171 1.1× 41 0.5× 14 0.3× 68 1.3× 28 0.6× 31 437
Laı̈la Guemouri France 6 147 0.9× 67 0.9× 32 0.6× 12 0.2× 15 0.3× 9 529
Phillip E. Morgan United Kingdom 16 166 1.0× 26 0.3× 12 0.2× 32 0.6× 35 0.7× 29 811
Maohua Yang China 15 540 3.3× 109 1.5× 51 0.9× 135 2.6× 22 0.5× 34 862
Robert Peter Biney Ghana 12 118 0.7× 22 0.3× 20 0.4× 18 0.4× 78 1.6× 53 517
Ruokun Zhou Canada 13 363 2.2× 52 0.7× 95 1.7× 18 0.4× 9 0.2× 17 561
Diaa E. Hussein Egypt 4 135 0.8× 35 0.5× 24 0.4× 19 0.4× 16 0.3× 7 484
Teng Ma China 13 183 1.1× 61 0.8× 30 0.5× 11 0.2× 29 0.6× 24 683

Countries citing papers authored by Е. В. Васильева

Since Specialization
Citations

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

Fields of papers citing papers by Е. В. Васильева

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Е. В. Васильева. A scholar is included among the top collaborators of Е. В. Васильева 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 Е. В. Васильева. Е. В. Васильева 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.
Васильева, Е. В., et al.. (2023). Phenibut, Semax, and GIZh-290 Modulate Cortical mGluII Receptors in an Attention Deficit Model in Mice. Neurochemical Journal. 17(2). 224–229.
2.
Goncharuk, Marina V., Е. В. Васильева, Andrey Yu. Gorokhovatsky, et al.. (2023). Facade-Based Bicelles as a New Tool for Production of Active Membrane Proteins in a Cell-Free System. International Journal of Molecular Sciences. 24(19). 14864–14864. 1 indexed citations
3.
4.
Volkova, Yulia A., E. I. Chernoburova, Е. В. Васильева, et al.. (2022). Synthesis and evaluation of avermectin–imidazo[1,2-a]pyridine hybrids as potent GABAA receptor modulators. Bioorganic Chemistry. 127. 105904–105904. 8 indexed citations
5.
Васильева, Е. В., et al.. (2022). Effects of pantogam active on behavior and neuroreceptor spectrum in mouse model of attention deficit disorder. SHILAP Revista de lepidopterología. 23–30. 1 indexed citations
6.
Васильева, Е. В., et al.. (2021). ERK1/2 kinases and dopamine D2 receptors participate in the anticonvulsant effects of a new derivative of benzoylpyridine oxime and valproic acid. European Journal of Pharmacology. 903. 174150–174150. 2 indexed citations
7.
Васильева, Е. В., et al.. (2020). The effects of cycloprolylglycine and its analogues on brain monoaminergic systems in BALB/c mice. SHILAP Revista de lepidopterología. 3–10. 1 indexed citations
8.
Yunes, Roman А., Е. У. Полуэктова, Е. В. Васильева, et al.. (2019). A Multi-strain Potential Probiotic Formulation of GABA-Producing Lactobacillus plantarum 90sk and Bifidobacterium adolescentis 150 with Antidepressant Effects. Probiotics and Antimicrobial Proteins. 12(3). 973–979. 107 indexed citations
9.
Васильева, Е. В., et al.. (2019). The Involvement of the Serotonin, Glutamate, and GABA Receptors in the Manifestation of the Antidepressant-Like Effect of Cycloprolylglycine. Neurochemical Journal. 13(3). 249–255. 2 indexed citations
10.
Ковалев, Г. И., et al.. (2016). DERIVATIVES OF 16-MEMBERED MACROCYCLIC LACTONES: ANTIPARASITIC PROPERTIES AND INTERACTION WITH GABAA RECEPTORS. Sel skokhozyaistvennaya Biologiya. 51(6). 875–882. 1 indexed citations
11.
Ковалев, Г. И., et al.. (2016). Differences Between Cerebrovascular and Anti-Ischemic Effects of Dopamine, Docosahexaenoyldopamine, and GABA–Docosahexaenoyldopamine Conjugate. Pharmaceutical Chemistry Journal. 49(10). 661–666.
12.
Васильева, Е. В., et al.. (2011). Evolution of stress fields and induced seismicity in operating mines. Journal of Mining Science. 47(6). 707–713. 14 indexed citations
13.
Васильева, Е. В., et al.. (2004). Effect of the Age of Pregnant Females on Brain Development in the Offspring. Bulletin of Experimental Biology and Medicine. 138(2). 189–191. 2 indexed citations
14.
Кондратенко, Р. М., et al.. (2004). Synthesis and Immunostimulating Activity of Cysteine-Containing Derivatives of Glycyrrhizic Acid. Russian Journal of Bioorganic Chemistry. 30(1). 53–59. 8 indexed citations
15.
Васильева, Е. В., et al.. (2004). Effect of Testosterone Derivatives Administered to Pregnant Rats on the Brain of Their Offspring (Delayed Consequences). Bulletin of Experimental Biology and Medicine. 137(6). 628–631. 1 indexed citations
16.
Кондратенко, Р. М., et al.. (2003). Transformations of Glycyrrhizic Acid: XV. Synthesis of Triterpene Saponins with Monosaccharide Residues Attached through Ester Bonds. Russian Journal of Bioorganic Chemistry. 29(6). 601–605. 2 indexed citations
17.
Васильева, Е. В., et al.. (2002). Reaction of 1,2,3,4-Tetrachloro-5,5-dimethoxycyclopentadiene with Sodium 2-Furylmethoxide in Tetrahydrofuran. Russian Journal of Organic Chemistry. 38(5). 759–760. 2 indexed citations
18.
Джемилев, У. М., et al.. (1978). New method of catalytic synthesis of unsaturated alcohols from butadiene and boric acid. Russian Chemical Bulletin. 27(6). 1283–1283. 1 indexed citations
19.
Васильева, Е. В., et al.. (1971). Effect of alloying with refractory metals on the strength and resistance to oxidation of platinum. Metal Science and Heat Treatment. 13(5). 372–375. 1 indexed citations
20.
Васильева, Е. В., et al.. (1965). Alloys of niobium. Israel Program for Scientific Translations eBooks. 15 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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