A. I. Shapovalov

1.2k total citations
65 papers, 913 citations indexed

About

A. I. Shapovalov is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, A. I. Shapovalov has authored 65 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cellular and Molecular Neuroscience, 25 papers in Cognitive Neuroscience and 16 papers in Neurology. Recurrent topics in A. I. Shapovalov's work include Neuroscience and Neural Engineering (23 papers), Neural dynamics and brain function (18 papers) and Neuroscience and Neuropharmacology Research (16 papers). A. I. Shapovalov is often cited by papers focused on Neuroscience and Neural Engineering (23 papers), Neural dynamics and brain function (18 papers) and Neuroscience and Neuropharmacology Research (16 papers). A. I. Shapovalov collaborates with scholars based in Russia and Czechia. A. I. Shapovalov's co-authors include B.I. Shiriaev, Alexander A. Velumian, Alexander Babalian, Rosemarie Grantyn, Rosemarie Grantyn, Ladislav Vyklický, A Grantyn and S. V. Kryuchkov and has published in prestigious journals such as The Journal of Physiology, Journal of Neurophysiology and Brain Research.

In The Last Decade

A. I. Shapovalov

57 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. I. Shapovalov Russia 18 546 260 246 222 149 65 913
John M. Brookhart United States 19 622 1.1× 518 2.0× 161 0.7× 112 0.5× 113 0.8× 32 1.1k
G. Horcholle‐Bossavit France 19 439 0.8× 341 1.3× 163 0.7× 244 1.1× 44 0.3× 66 929
J Szentágothai Hungary 14 611 1.1× 432 1.7× 222 0.9× 205 0.9× 78 0.5× 35 1.2k
Jean Rosenthal United States 7 581 1.1× 300 1.2× 472 1.9× 405 1.8× 106 0.7× 9 1.3k
G. Gordon United Kingdom 20 660 1.2× 528 2.0× 143 0.6× 325 1.5× 54 0.4× 34 1.4k
J E Zengel United States 18 1.0k 1.9× 453 1.7× 600 2.4× 72 0.3× 140 0.9× 27 1.3k
J. Haase Germany 15 241 0.4× 139 0.5× 100 0.4× 126 0.6× 69 0.5× 36 628
David P. C. Lloyd United States 15 358 0.7× 298 1.1× 118 0.5× 155 0.7× 45 0.3× 40 937
P. A. Fortier Canada 9 217 0.4× 446 1.7× 63 0.3× 334 1.5× 94 0.6× 9 766
H. K�nzle Switzerland 17 648 1.2× 379 1.5× 180 0.7× 284 1.3× 82 0.6× 24 1.2k

Countries citing papers authored by A. I. Shapovalov

Since Specialization
Citations

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

Fields of papers citing papers by A. I. Shapovalov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. I. Shapovalov. 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 A. I. Shapovalov. The network helps show where A. I. Shapovalov may publish in the future.

Co-authorship network of co-authors of A. I. Shapovalov

This figure shows the co-authorship network connecting the top 25 collaborators of A. I. Shapovalov. A scholar is included among the top collaborators of A. I. Shapovalov 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 A. I. Shapovalov. A. I. Shapovalov 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.
Kryuchkov, S. V. & A. I. Shapovalov. (1998). Effect of a high-frequency electric field on the shape of a solitary wave in a superlattice with a spectrum beyond the framework of the nearest neighbors approximation. OptSp. 84(2). 244–246.
2.
Kryuchkov, S. V. & A. I. Shapovalov. (1996). On the theory of the optoelectric effect in the regime of nonlinear waves in superlattices. Optics and Spectroscopy. 81(2). 305–308. 1 indexed citations
3.
Shapovalov, A. I., et al.. (1984). [Interaction between primary segmental afferents and motor neurons in the spinal cord of the lamprey].. PubMed. 70(8). 1178–88.
4.
Grantyn, Rosemarie, A. I. Shapovalov, & B.I. Shiriaev. (1984). Relation between structural and release parameters at the frog sensory‐motor synapse.. The Journal of Physiology. 349(1). 459–474. 29 indexed citations
5.
Babalian, Alexander & A. I. Shapovalov. (1984). Synaptic actions produced by individual ventrolateral tract fibres in frog lumbar motoneurones. Experimental Brain Research. 54(3). 551–63. 20 indexed citations
6.
Shapovalov, A. I., et al.. (1980). Electron probe X-ray microanalysis of intracellular sodium, potassium and chlorine contents in amphibian motoneurones. Neuroscience. 5(11). 2023–2031. 3 indexed citations
7.
Shapovalov, A. I., et al.. (1979). Effect of magnesium and manganese ions and calcium deficiency on synaptic transmission in the isolated rat spinal cord. Neurophysiology. 10(5). 389–392. 6 indexed citations
8.
Shapovalov, A. I. & B.I. Shiriaev. (1979). Single-fiber EPSPs in amphibian motoneurons. Brain Research. 160(3). 519–523. 11 indexed citations
9.
Shapovalov, A. I., et al.. (1978). Electrotonic and chemical EPSPs evoked in lamprey motoneurons by descending tract and dorsal root afferent stimulation. Neurophysiology. 9(5). 387–391. 1 indexed citations
10.
Shapovalov, A. I., et al.. (1974). Analogue model of motoneurons to investigate the distribution of synaptic inputs. Neurophysiology. 5(3). 223–229. 1 indexed citations
11.
Shapovalov, A. I., et al.. (1974). Synaptic effects evoked by supraspinal and intraspinal stimulation in lamprey motoneurons. Neurophysiology. 6(6). 500–505. 4 indexed citations
13.
Shapovalov, A. I., et al.. (1973). Projection of tooth pulp afferents in the brain stem of rhesus monkey. Brain Research. 64. 442–445. 20 indexed citations
14.
Shapovalov, A. I., et al.. (1971). Extrapyramidal pathways with monosynaptic effects upon primate α-motoneurons. Cellular and Molecular Life Sciences. 27(5). 522–524. 9 indexed citations
15.
Shapovalov, A. I., et al.. (1970). Pyramidal and extrapyramidal synaptic effects upon chronically deafferented motoneurons of the spinal cord of a cat. Neurophysiology. 1(1). 26–35. 1 indexed citations
16.
Shapovalov, A. I.. (1969). Posttetanic potentiation of monosynaptic and disynaptic actions from supraspinal structures on lumbar motoneurons.. Journal of Neurophysiology. 32(6). 948–959. 25 indexed citations
17.
Shapovalov, A. I., et al.. (1968). Short-latency interstitiospinal and rubrospinal synaptic influences on α-motoneurons. Bulletin of Experimental Biology and Medicine. 66(6). 1297–1300. 12 indexed citations
18.
Shapovalov, A. I., et al.. (1967). Synaptic mechanisms of vestibulospinal influences on alpha-motoneurons. Neuroscience and Behavioral Physiology. 1(1). 91–100. 21 indexed citations
19.
Shapovalov, A. I., et al.. (1965). [Effect of stimulation of the brain stem and the motor cortex on the activity of neurons of the spinal cord].. PubMed. 51(6). 670–80. 2 indexed citations
20.
Shapovalov, A. I.. (1962). An analysis of the effect of drugs on conduction of excitation in different parts of the neuromuscular junction with the aid of multi-barrelled microelectrodes. International Journal of Neuropharmacology. 1(1-3). 183–187. 1 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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