V. M. Brodyansky

580 total citations
15 papers, 369 citations indexed

About

V. M. Brodyansky is a scholar working on Psychiatry and Mental health, Molecular Biology and Neurology. According to data from OpenAlex, V. M. Brodyansky has authored 15 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Psychiatry and Mental health, 2 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in V. M. Brodyansky's work include Schizophrenia research and treatment (3 papers), Pain Management and Opioid Use (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). V. M. Brodyansky is often cited by papers focused on Schizophrenia research and treatment (3 papers), Pain Management and Opioid Use (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). V. M. Brodyansky collaborates with scholars based in Russia, Bulgaria and Sweden. V. M. Brodyansky's co-authors include Mikhaı̈l Sorin, P. Le Goff, Anne Gardiner, Arati Iyengar, А.О. Кибитов, Yie Liu, Mats Merup, Martin Corcoran, Dan Grandér and Robert M. Chapman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Energy.

In The Last Decade

V. M. Brodyansky

12 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. M. Brodyansky Russia 7 119 87 81 80 59 15 369
Zhanhui Liu China 7 59 0.5× 23 0.3× 75 0.9× 24 0.3× 24 0.4× 23 296
Wenli Zhao China 14 42 0.4× 42 0.5× 42 0.5× 28 0.3× 8 0.1× 40 388
Ki Hoon Song South Korea 11 132 1.1× 21 0.2× 37 0.5× 169 2.1× 5 0.1× 27 554
Linghao Wu China 13 94 0.8× 74 0.9× 13 0.2× 42 0.5× 3 0.1× 21 454
Haoxiang Huang China 12 219 1.8× 42 0.5× 36 0.4× 49 0.6× 2 0.0× 39 473
Shihui Zhao China 12 190 1.6× 78 0.9× 30 0.4× 27 0.3× 2 0.0× 30 483
Ayan Chakraborty India 12 34 0.3× 11 0.1× 11 0.1× 175 2.2× 13 0.2× 40 664

Countries citing papers authored by V. M. Brodyansky

Since Specialization
Citations

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

Fields of papers citing papers by V. M. Brodyansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. M. Brodyansky. 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 V. M. Brodyansky. The network helps show where V. M. Brodyansky may publish in the future.

Co-authorship network of co-authors of V. M. Brodyansky

This figure shows the co-authorship network connecting the top 25 collaborators of V. M. Brodyansky. A scholar is included among the top collaborators of V. M. Brodyansky 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 V. M. Brodyansky. V. M. Brodyansky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
3.
Brodyansky, V. M., et al.. (2019). Genetic features of the dopaminergic neurotransmitter system in patients with alcohol dependence and depression comorbidity. SHILAP Revista de lepidopterología. 112–114. 1 indexed citations
6.
7.
Zastrozhin, M. S., V. M. Brodyansky, Valentin Yurievich Skryabin, et al.. (2017). Pharmacodynamic genetic polymorphisms affect adverse drug reactions of haloperidol in patients with alcohol-use disorder. Pharmacogenomics and Personalized Medicine. Volume 10. 209–215. 8 indexed citations
8.
Кибитов, А.О., Evgeny Krupitsky, Elena Blokhina, et al.. (2016). A pharmacogenetic analysis of dopaminergic and opioidergic genes in opioid addicts treated with the combination of naltrexone and guanfacine. S S Korsakov Journal of Neurology and Psychiatry. 116(11. Vyp. 2). 36–36.
10.
Кибитов, А.О., et al.. (2015). Duration of therapeutic remission alcohol dependence: a role of dopamine system genes polymorphism and family history density. S S Korsakov Journal of Neurology and Psychiatry. 115(4. Vyp. 2). 51–51. 1 indexed citations
11.
Krupitsky, Evgeny, А.О. Кибитов, Elena Blokhina, et al.. (2015). Stabilization of remission in patients with opioid dependence with naltrexone implant: a pharmacogenetic approach. S S Korsakov Journal of Neurology and Psychiatry. 115(4. Vyp. 2). 14–14. 6 indexed citations
12.
Corcoran, Martin, Omid Rasool, Yie Liu, et al.. (1998). Detailed Molecular Delineation of 13q14.3 Loss in B-Cell Chronic Lymphocytic Leukemia. Blood. 91(4). 1382–1390. 80 indexed citations
13.
Brodyansky, V. M., Mikhaı̈l Sorin, & P. Le Goff. (1994). The Efficiency of Industrial Processes: Exergy Analysis and Optimization. Medical Entomology and Zoology. 125 indexed citations
14.
Sorin, Mikhaı̈l & V. M. Brodyansky. (1992). A method for thermodynamic optimization—I. Theory and application to an ammonia-synthesis plant. Energy. 17(11). 1019–1031. 18 indexed citations
15.
Brodyansky, V. M., et al.. (1992). Experimental testing of electrocaloric cooling with transparent ferroelectric ceramic as a working body. Ferroelectrics. 131(1). 321–325. 115 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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