Vasily Vorobyov

55 total papers · 863 total citations
43 papers, 694 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 43 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 22 papers in Cognitive Neuroscience and 10 papers in Physiology. Recurrent topics in Vasily Vorobyov's work include Neuroscience and Neuropharmacology Research (16 papers), Neural dynamics and brain function (11 papers) and Visual perception and processing mechanisms (9 papers). Vasily Vorobyov is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Neural dynamics and brain function (11 papers) and Visual perception and processing mechanisms (9 papers). Vasily Vorobyov collaborates with scholars based in Russia, United Kingdom and Germany. Vasily Vorobyov's co-authors include Frank Sengpiel, Ulf T. Eysel, Н. В. Бобкова, Branka Janać, Zlatko Prolić, Vesna Pešić, 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

42 papers receiving 681 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vasily Vorobyov 333 230 169 116 111 43 694
Nicholas A. Hartell 131 0.4× 365 1.6× 237 1.4× 146 1.3× 44 0.4× 27 758
Virginia García‐Marín 301 0.9× 347 1.5× 169 1.0× 147 1.3× 24 0.2× 29 695
Hao Wang 205 0.6× 321 1.4× 226 1.3× 74 0.6× 40 0.4× 33 737
Sen Jin 201 0.6× 260 1.1× 187 1.1× 80 0.7× 42 0.4× 23 658
Kalen Berry 185 0.6× 375 1.6× 315 1.9× 46 0.4× 56 0.5× 20 783
Jianye Zhang 175 0.5× 249 1.1× 393 2.3× 16 0.1× 57 0.5× 38 790
Mika Hayashi 251 0.8× 173 0.8× 149 0.9× 48 0.4× 31 0.3× 18 645
Suzannah Bliss Tieman 335 1.0× 401 1.7× 335 2.0× 40 0.3× 12 0.1× 37 735
Raffaele Mazziotti 162 0.5× 163 0.7× 209 1.2× 59 0.5× 14 0.1× 35 599
Hai‐yan He 256 0.8× 364 1.6× 299 1.8× 22 0.2× 25 0.2× 17 609

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

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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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