Vasily Vorobyov

867 total citations
44 papers, 696 citations indexed

About

Vasily Vorobyov is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Vasily Vorobyov has authored 44 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 23 papers in Cognitive Neuroscience and 10 papers in Physiology. Recurrent topics in Vasily Vorobyov's work include Neuroscience and Neuropharmacology Research (17 papers), Neural dynamics and brain function (12 papers) and Visual perception and processing mechanisms (9 papers). Vasily Vorobyov is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Neural dynamics and brain function (12 papers) and Visual perception and processing mechanisms (9 papers). Vasily Vorobyov collaborates with scholars based in Russia, United Kingdom and Canada. Vasily Vorobyov's co-authors include Frank Sengpiel, Ulf T. Eysel, Н. В. Бобкова, Vesna Pešić, Zlatko Prolić, Branka Janać, D. Samuel Schwarzkopf, Donald E. Mitchell, Jessica C. F. Kwok and James W. Fawcett and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Vasily Vorobyov

43 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vasily Vorobyov Russia 16 335 232 169 116 111 44 696
Nicholas A. Hartell United Kingdom 17 131 0.4× 367 1.6× 237 1.4× 146 1.3× 44 0.4× 27 763
Jérôme Bourien France 15 740 2.2× 230 1.0× 205 1.2× 22 0.2× 31 0.3× 35 1.2k
Masaharu Kudoh Japan 19 680 2.0× 615 2.7× 129 0.8× 105 0.9× 29 0.3× 46 1.1k
Francesco Tamagnini United Kingdom 18 174 0.5× 272 1.2× 260 1.5× 236 2.0× 73 0.7× 35 862
William J. Clerici United States 16 479 1.4× 298 1.3× 186 1.1× 41 0.4× 98 0.9× 21 1.2k
Dania Vecchia Italy 10 276 0.8× 374 1.6× 233 1.4× 79 0.7× 61 0.5× 13 907
Araya Ruangkittisakul Canada 19 272 0.8× 332 1.4× 316 1.9× 123 1.1× 111 1.0× 29 1.1k
Alessia Mastrodonato Italy 16 212 0.6× 381 1.6× 223 1.3× 280 2.4× 90 0.8× 25 1.1k
Satoshi Shimegi Japan 18 608 1.8× 491 2.1× 295 1.7× 74 0.6× 17 0.2× 49 1.0k
Bong-June Yoon South Korea 15 394 1.2× 420 1.8× 289 1.7× 48 0.4× 12 0.1× 23 880

Countries citing papers authored by Vasily Vorobyov

Since Specialization
Citations

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

Fields of papers citing papers by Vasily Vorobyov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasily Vorobyov

This figure shows the co-authorship network connecting the top 25 collaborators of Vasily Vorobyov. A scholar is included among the top collaborators of Vasily Vorobyov 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 Vasily Vorobyov. Vasily Vorobyov 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.
Vorobyov, Vasily & А. Д. Деев. (2025). Clustering Cortical Rhythms: Monoaminergic Signatures in Time-Frequency EEG Dynamics. Biomedicines. 13(8). 1973–1973.
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Vorobyov, Vasily, et al.. (2023). Age-Related Modifications of Electroencephalogram Coherence in Mice Models of Alzheimer’s Disease and Amyotrophic Lateral Sclerosis. Biomedicines. 11(4). 1151–1151. 2 indexed citations
5.
Filippov, Mikhail A, et al.. (2020). Inflammation/bioenergetics-associated neurodegenerative pathologies and concomitant diseases: a role of mitochondria targeted catalase and xanthophylls. Neural Regeneration Research. 16(2). 223–223. 15 indexed citations
6.
Vorobyov, Vasily, N. I. Medvinskaya, Inna V. Nesterova, et al.. (2019). Loss of Midbrain Dopamine Neurons and Altered Apomorphine EEG Effects in the 5xFAD Mouse Model of Alzheimer’s Disease. Journal of Alzheimer s Disease. 70(1). 241–256. 25 indexed citations
7.
Vorobyov, Vasily & Н. В. Бобкова. (2015). The brain compensatory mechanisms and Alzheimer′s disease progression: a new protective strategy. SHILAP Revista de lepidopterología. 10(5). 696–696. 24 indexed citations
8.
Vorobyov, Vasily, Jessica C. F. Kwok, James W. Fawcett, & Frank Sengpiel. (2013). Effects of Digesting Chondroitin Sulfate Proteoglycans on Plasticity in Cat Primary Visual Cortex. Journal of Neuroscience. 33(1). 234–243. 39 indexed citations
9.
Vorobyov, Vasily, et al.. (2012). Effects of different forms of monocular deprivation on primary visual cortex maps. Visual Neuroscience. 29(4-5). 247–253. 3 indexed citations
10.
Vorobyov, Vasily, et al.. (2011). Effects of nootropics on the EEG in conscious rats and their modification by glutamatergic inhibitors. Brain Research Bulletin. 85(3-4). 123–132. 10 indexed citations
11.
Vorobyov, Vasily, et al.. (2011). Cortical and hippocampal EEG effects of neurotransmitter agonists in spontaneously hypertensive vs. kainate-treated rats. Brain Research. 1383. 154–168. 12 indexed citations
12.
Vorobyov, Vasily, Branka Janać, Vesna Pešić, & Zlatko Prolić. (2010). Repeated exposure to low-level extremely low frequency-modulated microwaves affects cortex-hypothalamus interplay in freely moving rats: EEG study. International Journal of Radiation Biology. 86(5). 376–383. 17 indexed citations
13.
Vorobyov, Vasily, et al.. (2009). Agroclavine potentiates hippocampal EEG effects of weak combined magnetic field in rats. Brain Research Bulletin. 80(1-2). 1–8. 4 indexed citations
14.
Hunt, Jonathan J., Huajin Tang, Duncan Mortimer, et al.. (2009). Natural scene statistics and the structure of orientation maps in the visual cortex. NeuroImage. 47(1). 157–172. 8 indexed citations
15.
Бобкова, Н. В., et al.. (2008). Interhemispheric EEG differences in olfactory bulbectomized rats with different cognitive abilities and brain beta-amyloid levels. Brain Research. 1232. 185–194. 22 indexed citations
16.
Vorobyov, Vasily & Frank Sengpiel. (2008). Apomorphine-induced differences in cortical and striatal EEG and their glutamatergic mediation in 6-hydroxydopamine-treated rats. Experimental Brain Research. 191(3). 277–287. 15 indexed citations
17.
Vorobyov, Vasily, D. Samuel Schwarzkopf, Donald E. Mitchell, & Frank Sengpiel. (2007). Monocular deprivation reduces reliability of visual cortical responses to binocular disparity stimuli. European Journal of Neuroscience. 26(12). 3553–3563. 11 indexed citations
18.
Schwarzkopf, D. Samuel, Vasily Vorobyov, Donald E. Mitchell, & Frank Sengpiel. (2007). Brief daily binocular vision prevents monocular deprivation effects in visual cortex. European Journal of Neuroscience. 25(1). 270–280. 36 indexed citations
19.
Sengpiel, Frank & Vasily Vorobyov. (2005). Intracortical Origins of Interocular Suppression in the Visual Cortex. Journal of Neuroscience. 25(27). 6394–6400. 64 indexed citations
20.
Vorobyov, Vasily, et al.. (2003). Spike sequences and mean firing rate in rat neocortical neurons in vitro. Brain Research. 973(1). 16–30. 3 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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