А. В. Куликов

2.7k total citations
129 papers, 2.1k citations indexed

About

А. В. Куликов is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biological Psychiatry. According to data from OpenAlex, А. В. Куликов has authored 129 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Cellular and Molecular Neuroscience, 47 papers in Molecular Biology and 21 papers in Biological Psychiatry. Recurrent topics in А. В. Куликов's work include Neurotransmitter Receptor Influence on Behavior (57 papers), Neuroscience and Neuropharmacology Research (38 papers) and Receptor Mechanisms and Signaling (24 papers). А. В. Куликов is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (57 papers), Neuroscience and Neuropharmacology Research (38 papers) and Receptor Mechanisms and Signaling (24 papers). А. В. Куликов collaborates with scholars based in Russia, France and United States. А. В. Куликов's co-authors include Н. К. Попова, В. С. Науменко, Е. А. Куликова, Daria Osipova, Д. В. Базовкина, Pierre Mormède, М. А. Тихонова, Е. М. Кондаурова, Francis Chaouloff and Д. Ф. Августинович and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and International Journal of Molecular Sciences.

In The Last Decade

А. В. Куликов

122 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
А. В. Куликов Russia 25 1.2k 632 401 291 285 129 2.1k
В. С. Науменко Russia 24 1.1k 0.9× 572 0.9× 268 0.7× 230 0.8× 332 1.2× 120 1.9k
Árpád Dobolyi Hungary 33 1.1k 0.9× 1.1k 1.7× 497 1.2× 218 0.7× 542 1.9× 129 3.2k
P. Gass Germany 23 911 0.8× 828 1.3× 210 0.5× 356 1.2× 239 0.8× 35 2.0k
Dani Dumitriu United States 18 1.0k 0.9× 485 0.8× 254 0.6× 432 1.5× 278 1.0× 41 2.1k
Wenhua Liu United States 21 1.1k 0.9× 788 1.2× 348 0.9× 787 2.7× 344 1.2× 27 2.5k
Ryan K. Bachtell United States 28 1.6k 1.3× 824 1.3× 368 0.9× 478 1.6× 429 1.5× 49 2.4k
Tatiana V. Lipina Canada 28 1.1k 0.9× 1.5k 2.3× 527 1.3× 314 1.1× 212 0.7× 80 2.9k
Á. Párducz Hungary 31 1.1k 1.0× 776 1.2× 300 0.7× 498 1.7× 385 1.4× 85 2.9k
Allyson K. Friedman United States 18 1.5k 1.3× 828 1.3× 372 0.9× 567 1.9× 276 1.0× 31 2.6k
Maria A. de Souza Silva Germany 26 1.5k 1.3× 875 1.4× 427 1.1× 353 1.2× 331 1.2× 53 2.8k

Countries citing papers authored by А. В. Куликов

Since Specialization
Citations

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

Fields of papers citing papers by А. В. Куликов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of А. В. Куликов

This figure shows the co-authorship network connecting the top 25 collaborators of А. В. Куликов. A scholar is included among the top collaborators of А. В. Куликов 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 А. В. Куликов. А. В. Куликов 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.
Куликов, А. В., et al.. (2023). Age-Related Alterations in the Level and Metabolism of Serotonin in the Brain of Males and Females of Annual Turquoise Killifish (Nothobranchius furzeri). International Journal of Molecular Sciences. 24(4). 3185–3185. 4 indexed citations
2.
Kozhemyakina, R. V., Т. М. Хоменко, Константин П. Волчо, et al.. (2023). On Associations between Fear-Induced Aggression, Bdnf Transcripts, and Serotonin Receptors in the Brains of Norway Rats: An Influence of Antiaggressive Drug TC-2153. International Journal of Molecular Sciences. 24(2). 983–983. 5 indexed citations
3.
Куликов, А. В., et al.. (2023). Effect of Prolonged Exposure to Short Daylight and a Tryptophan Hydroxylase Inhibitor on the Behavior and Brain Serotonin System in Danio rerio. Bulletin of Experimental Biology and Medicine. 175(6). 814–821. 2 indexed citations
4.
Куликов, А. В., et al.. (2021). Effects of Sex and Group Size on Behavior and Brain Biogenic Amines in Short-Lived Turquoise Killifish ( Nothobranchius furzeri ). Zebrafish. 18(4). 265–273. 3 indexed citations
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Telegina, Darya V., Е. А. Куликова, О. С. Кожевникова, et al.. (2020). Alterations of STEP46 and STEP61 Expression in the Rat Retina with Age and AMD-Like Retinopathy Development. International Journal of Molecular Sciences. 21(15). 5182–5182. 5 indexed citations
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Kulikov, V. A., et al.. (2015). Behavioral phenotyping of mice deficient for tumor necrosis factor. SHILAP Revista de lepidopterología. 19(4). 394–394. 2 indexed citations
11.
Volf, N. V., et al.. (2014). Genger differences in association between serotonin transporter gene polymorphism and resting-state EEG activity. International Journal of Psychophysiology. 94(2). 184–185. 1 indexed citations
12.
Куликов, А. В., Daria Osipova, В. С. Науменко, et al.. (2012). A pharmacological evidence of positive association between mouse intermale aggression and brain serotonin metabolism. Behavioural Brain Research. 233(1). 113–119. 38 indexed citations
13.
Куликов, А. В., et al.. (2010). Novel Approach to the Study of Fur Cleaning in Inbred Mice: Effects of Genotype, Stress, and Lipopolysaccharide. ILAR Journal. 51(2). E11–E16. 6 indexed citations
14.
Тихонова, М. А., et al.. (2006). Effect of imipramine on the behavior and cerebral 5-HT1A serotonin receptors in mice genetically predisposed to catalepsy. Bulletin of Experimental Biology and Medicine. 141(1). 48–50. 16 indexed citations
15.
Куликов, А. В., Daria Osipova, В. С. Науменко, & Н. К. Попова. (2005). Association between Tph2 gene polymorphism, brain tryptophan hydroxylase activity and aggressiveness in mouse strains. Genes Brain & Behavior. 4(8). 482–485. 84 indexed citations
16.
Куликов, А. В., et al.. (2002). Effects of thyroid hormone deficiency on behavior in rat strains with different predisposition to catalepsy. Physiology & Behavior. 75(5). 733–737. 15 indexed citations
17.
Куликов, А. В., et al.. (2001). The Effects of Hypothyroidism on 5-HT1A and 5-HT2A Receptors and the Serotonin Transporter Protein in the Rat Brain. Neuroscience and Behavioral Physiology. 31(4). 445–449. 16 indexed citations
18.
Попова, Н. К. & А. В. Куликов. (1995). On the role of brain serotonin in expression of genetic predisposition to catalepsy in animal models. American Journal of Medical Genetics. 60(3). 214–220. 24 indexed citations
19.
Куликов, А. В.. (1995). 5-HT2A serotonin receptors in the brain of rats and mice hereditarily predisposed to catalepsy. Pharmacology Biochemistry and Behavior. 50(3). 383–387. 16 indexed citations
20.
Куликов, А. В., et al.. (1982). Structure and Action Mechanism of Reaction Centers of Photosynthetic Bacteria. Photobiochemistry and photobiophysics.. 3(6). 337–344. 5 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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