K.S. Rayevsky

864 total citations
38 papers, 721 citations indexed

About

K.S. Rayevsky is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, K.S. Rayevsky has authored 38 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cellular and Molecular Neuroscience, 9 papers in Physiology and 8 papers in Molecular Biology. Recurrent topics in K.S. Rayevsky's work include Neuroscience and Neuropharmacology Research (24 papers), Neurotransmitter Receptor Influence on Behavior (20 papers) and Receptor Mechanisms and Signaling (5 papers). K.S. Rayevsky is often cited by papers focused on Neuroscience and Neuropharmacology Research (24 papers), Neurotransmitter Receptor Influence on Behavior (20 papers) and Receptor Mechanisms and Signaling (5 papers). K.S. Rayevsky collaborates with scholars based in Russia, Finland and United States. K.S. Rayevsky's co-authors include Raul R. Gainetdinov, Tatyana D. Sotnikova, В. С. Кудрин, M. V. Ugrumov, V. I. Melnikova, V. G. Bashkatova, Pirjo Saransaari, Simo S. Oja, В. Б. Наркевич and Е. А. Козина and has published in prestigious journals such as Brain Research, Annals of the New York Academy of Sciences and Neuroscience.

In The Last Decade

K.S. Rayevsky

38 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.S. Rayevsky Russia 15 511 259 136 119 85 38 721
Keiko Ikemoto Japan 18 504 1.0× 335 1.3× 125 0.9× 88 0.7× 81 1.0× 63 853
B. D. Kretschmer Germany 17 633 1.2× 256 1.0× 195 1.4× 84 0.7× 188 2.2× 26 851
L. Oreland Sweden 15 327 0.6× 178 0.7× 116 0.9× 101 0.8× 50 0.6× 33 706
Deborah K. Hyslop United States 12 515 1.0× 324 1.3× 101 0.7× 61 0.5× 106 1.2× 19 900
P Jenner United Kingdom 16 521 1.0× 258 1.0× 204 1.5× 78 0.7× 116 1.4× 35 889
Trevor Dennis France 13 443 0.9× 223 0.9× 86 0.6× 73 0.6× 84 1.0× 20 654
Z.L. Rossetti Italy 14 724 1.4× 337 1.3× 140 1.0× 110 0.9× 171 2.0× 26 946
Christopher J. Pycock United Kingdom 13 708 1.4× 326 1.3× 204 1.5× 96 0.8× 133 1.6× 18 960
Marino Massotti Italy 18 721 1.4× 321 1.2× 110 0.8× 102 0.9× 185 2.2× 49 957
Rossella Dall’Olio Italy 17 449 0.9× 255 1.0× 55 0.4× 61 0.5× 83 1.0× 37 626

Countries citing papers authored by K.S. Rayevsky

Since Specialization
Citations

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

Fields of papers citing papers by K.S. Rayevsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.S. Rayevsky. 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 K.S. Rayevsky. The network helps show where K.S. Rayevsky may publish in the future.

Co-authorship network of co-authors of K.S. Rayevsky

This figure shows the co-authorship network connecting the top 25 collaborators of K.S. Rayevsky. A scholar is included among the top collaborators of K.S. Rayevsky 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 K.S. Rayevsky. K.S. Rayevsky 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.
Ugrumov, M. V., Е. А. Козина, V. G. Kucheryanu, et al.. (2011). Modeling of presymptomatic and symptomatic stages of parkinsonism in mice. Neuroscience. 181. 175–188. 102 indexed citations
2.
Кудрин, В. С., Pirjo Saransaari, Simo S. Oja, et al.. (2005). Semax, An ACTH(4-10) Analogue with Nootropic Properties, Activates Dopaminergic and Serotoninergic Brain Systems in Rodents. Neurochemical Research. 30(12). 1493–1500. 22 indexed citations
3.
Судаков, К. В., et al.. (2004). Delta-sleep inducing peptide and neuronal activity after glutamate microiontophoresis: the role of NMDA-receptors. Pathophysiology. 11(2). 81–86. 8 indexed citations
4.
Кудрин, В. С., et al.. (2004). Effects of Semax on Dopaminergic and Serotoninergic Systems of the Brain. Doklady Biological Sciences. 394(1-6). 1–3. 8 indexed citations
5.
Anderzhanova, Elmira, K.S. Rayevsky, Pirjo Saransaari, & Simo S. Oja. (2003). Effect of Sulpiride on the Amphetamine-Induced Changes in Extracellular Dopamine, DOPAC, and Hydroxyl Radical Generation in the Rat Striatum. Neurochemical Research. 28(8). 1241–1248. 4 indexed citations
6.
Anderzhanova, Elmira, et al.. (2002). Effects of Acute Toxic Doses of Psychostimulants on Extracellular Levels of Excitatory Amino Acids and Taurine in Rats. Annals of the New York Academy of Sciences. 965(1). 193–203. 6 indexed citations
7.
Anderzhanova, Elmira, et al.. (2001). Effects of sydnocarb and d-amphetamine on the extracellular levels of amino acids in the rat caudate-putamen. European Journal of Pharmacology. 428(1). 87–95. 11 indexed citations
9.
Bashkatova, V. G., et al.. (2000). Nitric Oxide Content Measured by ESR-Spectroscopy in the Rat Brain Is Increased During Pentylenetetrazole-Induced Seizures. Journal of Molecular Neuroscience. 14(3). 183–190. 42 indexed citations
10.
Bashkatova, V. G., Michaela Kraus, H. Prast, et al.. (1999). Influence of NOS inhibitors on changes in ACH release and NO level in the brain elicited by amphetamine neurotoxicity. Neuroreport. 10(15). 3155–3158. 10 indexed citations
11.
Melnikova, V. I., M. Orosco, A. Calas, et al.. (1999). Dopamine turnover in the mediobasal hypothalamus in rat fetuses. Neuroscience. 89(1). 235–241. 33 indexed citations
12.
Кудрин, В. С., et al.. (1999). Lamotrigine and Carbamazepine Affect Differently the Release of D-[3H]Aspartate from Mouse Cerebral Cortex Slices: Involvement of NO. Neurochemical Research. 24(9). 1153–1159. 15 indexed citations
13.
Budygin, Evgeny A., Raul R. Gainetdinov, Michaux Kilpatrick, et al.. (1999). Effect of tolcapone, a catechol-O-methyltransferase inhibitor, on striatal dopaminergic transmission during blockade of dopamine uptake. European Journal of Pharmacology. 370(2). 125–131. 41 indexed citations
14.
Gainetdinov, Raul R., et al.. (1997). Effects of a psychostimulant drug Sydnocarb on rat brain dopaminergic transmission in vivo. European Journal of Pharmacology. 340(1). 53–58. 14 indexed citations
15.
Gainetdinov, Raul R., et al.. (1996). In vivo evidence for preferential role of dopamine D3 receptor in the presynaptic regulation of dopamine release but not synthesis. European Journal of Pharmacology. 308(3). 261–269. 77 indexed citations
16.
Bashkatova, V. G., et al.. (1995). Transmitter amino acids, lipid peroxidation and antioxidant defenсe mechanisms in the brain of rats with audiogenic epilepsy. Journal of Neurochemistry. 65. 191–198. 1 indexed citations
17.
Rayevsky, K.S., et al.. (1995). Regulation of dopamine release and metabolism in rat striatum in vivo: Effects of dopamine receptor antagonists. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 19(8). 1285–1303. 22 indexed citations
19.
Gainetdinov, Raul R., et al.. (1994). Dopamine D2 and D3 receptor preferring antagonists differentially affect striatal dopamine release and metabolism in conscious rats. European Journal of Pharmacology. 261(3). 327–331. 36 indexed citations
20.
Yukhananov, R. Yu., et al.. (1992). Ethanol and Δ-sleep-inducing peptide: Effects on brain monoamines. Pharmacology Biochemistry and Behavior. 43(3). 683–687. 9 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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