Vadim Ushakov

978 total citations
94 papers, 522 citations indexed

About

Vadim Ushakov is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Vadim Ushakov has authored 94 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 15 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Molecular Biology. Recurrent topics in Vadim Ushakov's work include Functional Brain Connectivity Studies (32 papers), Neural dynamics and brain function (16 papers) and Tryptophan and brain disorders (11 papers). Vadim Ushakov is often cited by papers focused on Functional Brain Connectivity Studies (32 papers), Neural dynamics and brain function (16 papers) and Tryptophan and brain disorders (11 papers). Vadim Ushakov collaborates with scholars based in Russia, Germany and United States. Vadim Ushakov's co-authors include Boris M. Velichkovsky, Maxim Sharaev, Igor Belyaev, Victor S. Shcheglov, Alexey Ivanitsky, Olga Martynova, G. P. Kostyuk, Galina Portnova, Yevgeny D. Alipov and Chunliang Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Schizophrenia Bulletin.

In The Last Decade

Vadim Ushakov

80 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vadim Ushakov Russia 12 244 81 73 51 50 94 522
Wooyoung Kang South Korea 15 159 0.7× 53 0.7× 59 0.8× 72 1.4× 27 0.5× 29 534
Michele Ferrante United States 11 304 1.2× 34 0.4× 20 0.3× 53 1.0× 7 0.1× 18 524
Matthew Jones United Kingdom 14 292 1.2× 79 1.0× 50 0.7× 17 0.3× 20 0.4× 26 736
Piotr Majka Poland 15 473 1.9× 47 0.6× 218 3.0× 23 0.5× 21 0.4× 32 657
Donald L. McEachron United States 13 77 0.3× 36 0.4× 31 0.4× 32 0.6× 7 0.1× 30 375
Skirmantas Janušonis United States 16 257 1.1× 24 0.3× 18 0.2× 32 0.6× 8 0.2× 38 725
Malle A. Tagamets United States 17 541 2.2× 27 0.3× 109 1.5× 85 1.7× 6 0.1× 25 998
Lars Hömke Germany 10 470 1.9× 18 0.2× 182 2.5× 63 1.2× 22 0.4× 11 621
Jennifer B. Swettenham United Kingdom 10 732 3.0× 13 0.2× 118 1.6× 30 0.6× 17 0.3× 11 951
Adam Messinger United States 11 798 3.3× 8 0.1× 268 3.7× 80 1.6× 23 0.5× 15 997

Countries citing papers authored by Vadim Ushakov

Since Specialization
Citations

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

Fields of papers citing papers by Vadim Ushakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadim Ushakov

This figure shows the co-authorship network connecting the top 25 collaborators of Vadim Ushakov. A scholar is included among the top collaborators of Vadim Ushakov 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 Vadim Ushakov. Vadim Ushakov 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.
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Ushakov, Vadim, et al.. (2023). Assessing the impact of the de novo SLC6A1 mutation in schizophrenia through a comprehensive case study. Psychiatry Research. 327. 115399–115399.
3.
Шестакова, Анна, et al.. (2023). The prediction of market-level food choices by the neural valuation signal. PLoS ONE. 18(6). e0286648–e0286648. 3 indexed citations
4.
Artemov, Alexey, et al.. (2023). Identification of Diagnostic Schizophrenia Biomarkers Based on the Assessment of Immune and Systemic Inflammation Parameters Using Machine Learning Modeling. Sovremennye tehnologii v medicine. 15(6). 5–5. 1 indexed citations
5.
Ushakov, Vadim, et al.. (2023). Differential Diagnosis of Delusional Symptoms in Schizophrenia: Brain Tractography Data. SSRN Electronic Journal.
6.
7.
Ushakov, Vadim, et al.. (2022). The association of inflammatory status and immunological parameters with single-nucleotide polymorphisms of cytokine and Toll-like receptor genes in patients with schizophrenia. Open Access Repository (Belgorod State National Research University). 1 indexed citations
8.
Knyazev, Gennady G., et al.. (2021). EEG and fMRI Correlates of Insight: A Pilot Study. Symmetry. 13(2). 330–330. 1 indexed citations
9.
Ushakov, Vadim, et al.. (2021). The role of mirror neurons in the interpretation of actions and intentions. Vestnik Tomskogo gosudarstvennogo universiteta Biologiya. 86–107. 3 indexed citations
10.
Ushakov, Vadim, et al.. (2020). The relationship between inflammation, cognitive disorders and neuroimaging data in schizophrenia. S S Korsakov Journal of Neurology and Psychiatry. 120(11). 70–70. 5 indexed citations
11.
Velichkovsky, Boris M., et al.. (2019). Architecture of a Wheelchair Control System for Disabled People: Towards Multifunctional Robotic Solution with Neurobiological Interfaces. Sovremennye tehnologii v medicine. 11(1). 90–90. 8 indexed citations
12.
Ushakov, Vadim, et al.. (2019). Parameters of immunity and systemic inflammation in endogenous psychosis. Medical academic journal. 19(1S). 70–72. 1 indexed citations
13.
Ushakov, Vadim, et al.. (2019). Hyperactivity of Basal Ganglia in Patients With Parkinson's Disease During Internally Guided Voluntary Movements. Frontiers in Neurology. 10. 847–847. 12 indexed citations
14.
Ushakov, Vadim, et al.. (2018). Comparative analysis of inhibition tasks: an fMRI study. Psychophysiology. 55(1). 65–65.
15.
Portnova, Galina, et al.. (2018). Correlation of BOLD Signal with Linear and Nonlinear Patterns of EEG in Resting State EEG-Informed fMRI. Frontiers in Human Neuroscience. 11. 654–654. 28 indexed citations
16.
Velichkovsky, Boris M., et al.. (2017). Cognitive aspects of human motor activity: Contribution of right hemisphere and cerebellum. Psychology in Russia State of Art. 10(3). 206–217. 1 indexed citations
17.
Velichkovsky, Boris M., et al.. (2017). In search of the “I”: Neuropsychology of lateralized thinking meets Dynamic Causal Modeling. Psychology in Russia State of Art. 10(3). 7–27. 11 indexed citations
18.
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Sharaev, Maxim, et al.. (2016). Effective Connectivity within the Default Mode Network: Dynamic Causal Modeling of Resting-State fMRI Data. Frontiers in Human Neuroscience. 10. 14–14. 65 indexed citations
20.
Ushakov, Vadim, et al.. (2013). Network activity of mirror neurons depends on experience. Journal of Integrative Neuroscience. 12(1). 35–46. 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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