Г. В. Рукавишников

480 total citations
58 papers, 239 citations indexed

About

Г. В. Рукавишников is a scholar working on Biological Psychiatry, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Г. В. Рукавишников has authored 58 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biological Psychiatry, 16 papers in Clinical Psychology and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Г. В. Рукавишников's work include Tryptophan and brain disorders (17 papers), Mental Health Research Topics (9 papers) and Stress Responses and Cortisol (9 papers). Г. В. Рукавишников is often cited by papers focused on Tryptophan and brain disorders (17 papers), Mental Health Research Topics (9 papers) and Stress Responses and Cortisol (9 papers). Г. В. Рукавишников collaborates with scholars based in Russia, United States and Sweden. Г. В. Рукавишников's co-authors include Г. Э. Мазо, E. D. Kasyanov, Н. Г. Незнанов, А.О. Кибитов, Г. Н. Мазо, E. Verbitskaya, Olga Vekovischeva, Alexander Rakitko, В. Е. Голимбет and Iaroslav Popov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Psychosomatic Research and Journal of Psychiatric Research.

In The Last Decade

Г. В. Рукавишников

43 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Г. В. Рукавишников Russia 9 119 45 44 41 31 58 239
E. D. Kasyanov Russia 7 107 0.9× 36 0.8× 33 0.8× 37 0.9× 32 1.0× 53 205
Hojka Gregorič Kumperščak Slovenia 8 163 1.4× 21 0.5× 20 0.5× 70 1.7× 8 0.3× 24 326
Mahdi Razafsha United States 9 93 0.8× 14 0.3× 23 0.5× 46 1.1× 34 1.1× 12 322
Ruby Castilla‐Puentes United States 10 154 1.3× 61 1.4× 16 0.4× 126 3.1× 14 0.5× 20 368
Joan Ignasi Mestre-Pintó Spain 9 111 0.9× 44 1.0× 46 1.0× 77 1.9× 9 0.3× 22 345
Pooja Patnaik Kuppili India 13 156 1.3× 27 0.6× 15 0.3× 115 2.8× 8 0.3× 40 324
Rosa Alikhani Iran 9 103 0.9× 17 0.4× 16 0.4× 70 1.7× 9 0.3× 19 256
Bianca E. Kavanagh Australia 9 90 0.8× 26 0.6× 31 0.7× 63 1.5× 7 0.2× 35 256
Stefan Jerotić Serbia 9 99 0.8× 21 0.5× 12 0.3× 62 1.5× 17 0.5× 42 289
Noha Eskander United States 10 94 0.8× 15 0.3× 43 1.0× 53 1.3× 20 0.6× 22 276

Countries citing papers authored by Г. В. Рукавишников

Since Specialization
Citations

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

Fields of papers citing papers by Г. В. Рукавишников

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Г. В. Рукавишников

This figure shows the co-authorship network connecting the top 25 collaborators of Г. В. Рукавишников. A scholar is included among the top collaborators of Г. В. Рукавишников 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 Г. В. Рукавишников. Г. В. Рукавишников 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.
Kasyanov, E. D., Г. В. Рукавишников, А.О. Кибитов, & Г. Н. Мазо. (2025). Validation of the Snaith—Hamilton Pleasure Scale to assess anhedonia in patients with unipolar depression In Russia. S S Korsakov Journal of Neurology and Psychiatry. 125(7). 110–110.
2.
Кибитов, А.О., et al.. (2024). Genetic Comorbidity of Depression and Somatic Diseases: Rationale Study Design in a Population Cohort Using Polygenic Risk Scores. Psikhiatriya. 22(2). 54–65. 1 indexed citations
3.
Kasyanov, E. D., et al.. (2024). The Eating Attitude Test (EAT-26): assessment of psychometric characteristics in a sample of patients with depression. S S Korsakov Journal of Neurology and Psychiatry. 124(11). 185–185. 1 indexed citations
4.
Кибитов, А.О., Alexander Rakitko, E. D. Kasyanov, et al.. (2024). Online phenotypes of depression symptoms are associated with polygenic risk scores of somatic diseases in a population-based cohort. S S Korsakov Journal of Neurology and Psychiatry. 124(11). 122–122.
5.
Рукавишников, Г. В., et al.. (2024). Inflammation as a link between depression and metabolic syndrome. SHILAP Revista de lepidopterología. 58(4-2). 8–19. 1 indexed citations
6.
Рукавишников, Г. В., et al.. (2023). The role of cellular immunity and systemic inflammation indices in the pathogenetic mechanisms of mental disorders. SHILAP Revista de lepidopterología. 15(5). 72–78. 1 indexed citations
7.
Kasyanov, E. D., Alexander Rakitko, Danat Yermakovich, et al.. (2023). Anhedonia in mood disorders and somatic diseases: results of exploratory Mendelian randomization analysis. S S Korsakov Journal of Neurology and Psychiatry. 123(4). 65–65. 3 indexed citations
8.
Рукавишников, Г. В., et al.. (2023). Multimorbidity concept as integrative research method of mental and somatic disorders mechanisms. SHILAP Revista de lepidopterología. 57(4). 8–19.
9.
Рукавишников, Г. В., et al.. (2023). Interleukin-6 Role in Schizophrenia Pathological Mechanisms. 40(1). 23–29.
10.
Kasyanov, E. D., et al.. (2023). Assessment of bone mineral density in epileptic patients with long-term antiepileptic therapy: pilot data. SHILAP Revista de lepidopterología. 57(4). 75–89. 1 indexed citations
11.
Рукавишников, Г. В., et al.. (2023). Association of anhedonia with comorbid mental disorders, suicidality and personality traits in patients with depression. S S Korsakov Journal of Neurology and Psychiatry. 123(11). 85–85. 1 indexed citations
12.
Рукавишников, Г. В., Alexander Rakitko, E. D. Kasyanov, et al.. (2023). Association of depression and anxiety with somatic diseases: negative lifestyle factors impact. S S Korsakov Journal of Neurology and Psychiatry. 123(4). 74–74.
13.
Рукавишников, Г. В., et al.. (2023). Antimicrobial activity of antidepressants on normal gut microbiota: Results of the in vitro study. Frontiers in Behavioral Neuroscience. 17. 1132127–1132127. 17 indexed citations
14.
Kasyanov, E. D., E. Verbitskaya, Alexander Rakitko, et al.. (2022). Validation of a DSM-5-based screening test using digital phenotyping in the Russian population. S S Korsakov Journal of Neurology and Psychiatry. 122(6). 64–64. 7 indexed citations
15.
Kasyanov, E. D., Alexander Rakitko, Г. В. Рукавишников, et al.. (2022). Contemporary GWAS studies of depression: the critical role of phenotyping. S S Korsakov Journal of Neurology and Psychiatry. 122(1). 50–50. 2 indexed citations
16.
Kasyanov, E. D., et al.. (2022). Biochemical disturbances in schizophrenia — a «window of opportunity». SHILAP Revista de lepidopterología. 56(4). 52–62.
17.
Kasyanov, E. D., Г. В. Рукавишников, В. Е. Голимбет, et al.. (2022). Family history of mood disorders may weaken the link between adverse childhood experience and suicidality in patients with depression. S S Korsakov Journal of Neurology and Psychiatry. 122(6). 56–56. 1 indexed citations
18.
Мазо, Г. Н., et al.. (2021). PREREQUISITES OF WILLINGNESS TO ACCEPT A COVID-19 VACCINE AMONG THE RUSSIAN POPULATION. 95–103. 2 indexed citations
19.
Мазо, Г. Н., et al.. (2021). Structure of anxiety and stress as factors of COVID-19 vaccine acceptance. SHILAP Revista de lepidopterología. 55(2). 52–61. 4 indexed citations
20.

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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