Alexandre A. Miasnikov

842 total citations
27 papers, 680 citations indexed

About

Alexandre A. Miasnikov is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Alexandre A. Miasnikov has authored 27 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 23 papers in Cognitive Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Alexandre A. Miasnikov's work include Neural dynamics and brain function (20 papers), Neuroscience and Neuropharmacology Research (20 papers) and Memory and Neural Mechanisms (13 papers). Alexandre A. Miasnikov is often cited by papers focused on Neural dynamics and brain function (20 papers), Neuroscience and Neuropharmacology Research (20 papers) and Memory and Neural Mechanisms (13 papers). Alexandre A. Miasnikov collaborates with scholars based in United States, Canada and France. Alexandre A. Miasnikov's co-authors include Norman M. Weinberger, Dewey McLin, Richard G. Rutkowski, Robert W. Dykes, M. Maalouf, Kasia M. Bieszczad, Allen E. Butt, Gabriel C. Araujo, Irina N. Beloozerova and Oleg V. Favorov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of Neurophysiology.

In The Last Decade

Alexandre A. Miasnikov

26 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandre A. Miasnikov United States 15 552 425 93 73 44 27 680
Omar J. Ahmed United States 15 741 1.3× 656 1.5× 68 0.7× 42 0.6× 24 0.5× 33 931
Hajnalka Bokor Hungary 12 626 1.1× 667 1.6× 83 0.9× 30 0.4× 20 0.5× 13 814
Kelsey Clark United States 13 454 0.8× 213 0.5× 74 0.8× 27 0.4× 34 0.8× 29 636
Vaughn L. Hetrick United States 6 591 1.1× 550 1.3× 271 2.9× 21 0.3× 25 0.6× 7 879
Shinya S. Suzuki Japan 14 434 0.8× 450 1.1× 64 0.7× 30 0.4× 17 0.4× 24 609
Ben Engelhard United States 8 446 0.8× 345 0.8× 138 1.5× 18 0.2× 24 0.5× 10 593
H. D. Schwark United States 12 499 0.9× 523 1.2× 163 1.8× 46 0.6× 21 0.5× 14 793
James Cavanaugh United States 6 636 1.2× 309 0.7× 109 1.2× 50 0.7× 10 0.2× 7 750
Daigo Takeuchi Japan 10 593 1.1× 415 1.0× 44 0.5× 23 0.3× 29 0.7× 12 713
Vincent Hok France 17 745 1.3× 583 1.4× 61 0.7× 60 0.8× 20 0.5× 23 878

Countries citing papers authored by Alexandre A. Miasnikov

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre A. Miasnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandre A. Miasnikov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre A. Miasnikov. A scholar is included among the top collaborators of Alexandre A. Miasnikov 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 Alexandre A. Miasnikov. Alexandre A. Miasnikov 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
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Leon, Matthew I., et al.. (2017). CS-specific modifications of auditory evoked potentials in the behaviorally conditioned rat. Brain Research. 1670. 235–247. 1 indexed citations
4.
Favorov, Oleg V., et al.. (2015). Activity of Somatosensory-Responsive Neurons in High Subdivisions of SI Cortex during Locomotion. Journal of Neuroscience. 35(20). 7763–7776. 14 indexed citations
5.
Bieszczad, Kasia M., Alexandre A. Miasnikov, & Norman M. Weinberger. (2013). Remodeling sensory cortical maps implants specific behavioral memory. Neuroscience. 246. 40–51. 22 indexed citations
6.
Weinberger, Norman M., et al.. (2013). Gamma band plasticity in sensory cortex is a signature of the strongest memory rather than memory of the training stimulus. Neurobiology of Learning and Memory. 104. 49–63. 23 indexed citations
7.
Miasnikov, Alexandre A. & Norman M. Weinberger. (2012). Detection of an inhibitory cortical gradient underlying peak shift in learning: A neural basis for a false memory. Neurobiology of Learning and Memory. 98(4). 368–379. 7 indexed citations
8.
Miasnikov, Alexandre A., et al.. (2010). Consolidation and long-term retention of an implanted behavioral memory. Neurobiology of Learning and Memory. 95(3). 286–295. 12 indexed citations
9.
Miasnikov, Alexandre A., et al.. (2009). Behavioral memory induced by stimulation of the nucleus basalis: Effects of contingency reversal. Neurobiology of Learning and Memory. 91(3). 298–309. 10 indexed citations
10.
Miasnikov, Alexandre A., et al.. (2008). Motivationally neutral stimulation of the nucleus basalis induces specific behavioral memory. Neurobiology of Learning and Memory. 90(1). 125–137. 21 indexed citations
11.
Weinberger, Norman M., et al.. (2008). Sensory memory consolidation observed: Increased specificity of detail over days. Neurobiology of Learning and Memory. 91(3). 273–286. 18 indexed citations
12.
Miasnikov, Alexandre A., et al.. (2008). Specific auditory memory induced by nucleus basalis stimulation depends on intrinsic acetylcholine. Neurobiology of Learning and Memory. 90(2). 443–454. 31 indexed citations
13.
Miasnikov, Alexandre A., et al.. (2006). Rapid induction of specific associative behavioral memory by stimulation of the nucleus basalis in the rat. Neurobiology of Learning and Memory. 86(1). 47–65. 35 indexed citations
14.
Weinberger, Norman M., et al.. (2006). The level of cholinergic nucleus basalis activation controls the specificity of auditory associative memory. Neurobiology of Learning and Memory. 86(3). 270–285. 42 indexed citations
15.
McLin, Dewey, Alexandre A. Miasnikov, & Norman M. Weinberger. (2003). CS-specific gamma, theta, and alpha EEG activity detected in stimulus generalization following induction of behavioral memory by stimulation of the nucleus basalis. Neurobiology of Learning and Memory. 79(2). 152–176. 27 indexed citations
16.
McLin, Dewey, Alexandre A. Miasnikov, & Norman M. Weinberger. (2002). The effects of electrical stimulation of the nucleus basalis on the electroencephalogram, heart rate, and respiration.. Behavioral Neuroscience. 116(5). 795–806. 30 indexed citations
17.
Dancause, Numa, et al.. (2001). Atropine-sensitive and -insensitive components of the somatosensory evoked potential. Brain Research. 910(1-2). 67–73. 7 indexed citations
18.
Miasnikov, Alexandre A. & Robert W. Dykes. (2000). The design and application of three speaker-based stimulating devices for cutaneous stimulation in anesthetized and awake animals. Journal of Neuroscience Methods. 100(1-2). 93–104. 3 indexed citations
19.
Miasnikov, Alexandre A., Harry H. Webster, & Robert W. Dykes. (1999). Temporally structured impulse activity in spontaneously discharging somatosensory cortical neurons in the awake cat:. Brain Research Protocols. 4(1). 49–68. 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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