Kentaro Miyamoto

817 total citations
30 papers, 510 citations indexed

About

Kentaro Miyamoto is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Kentaro Miyamoto has authored 30 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Kentaro Miyamoto's work include Neural dynamics and brain function (10 papers), Memory and Neural Mechanisms (10 papers) and Neural and Behavioral Psychology Studies (7 papers). Kentaro Miyamoto is often cited by papers focused on Neural dynamics and brain function (10 papers), Memory and Neural Mechanisms (10 papers) and Neural and Behavioral Psychology Studies (7 papers). Kentaro Miyamoto collaborates with scholars based in Japan, United Kingdom and United States. Kentaro Miyamoto's co-authors include Yasushi Miyashita, Takahiro Osada, Yusuke Adachi, Rieko Setsuie, Teppei Matsui, Takamitsu Watanabe, Olaf Sporns, Keita Tamura, Masaki Takeda and Hiroko Kimura and has published in prestigious journals such as Science, Nature Communications and Neuron.

In The Last Decade

Kentaro Miyamoto

27 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kentaro Miyamoto Japan 10 401 116 99 35 32 30 510
Marie-Alice Gariel France 2 615 1.5× 125 1.1× 132 1.3× 33 0.9× 30 0.9× 2 649
Brandon Munn Australia 12 425 1.1× 70 0.6× 135 1.4× 37 1.1× 23 0.7× 24 507
José C. Masdeu Spain 6 476 1.2× 65 0.6× 173 1.7× 39 1.1× 30 0.9× 8 662
Onerva Korhonen Finland 7 509 1.3× 91 0.8× 49 0.5× 28 0.8× 73 2.3× 8 562
Sandrine Saillet France 8 492 1.2× 135 1.2× 228 2.3× 46 1.3× 36 1.1× 10 623
Răzvan Gămănuț United States 5 281 0.7× 65 0.6× 116 1.2× 50 1.4× 13 0.4× 6 334
Loïc Magrou United States 5 302 0.8× 101 0.9× 57 0.6× 24 0.7× 26 0.8× 7 352
Rajasimhan Rajagovindan United States 10 397 1.0× 37 0.3× 119 1.2× 26 0.7× 29 0.9× 14 556
NK Logothetis Germany 8 307 0.8× 67 0.6× 55 0.6× 26 0.7× 35 1.1× 112 345
Elizabeth Bock Canada 7 384 1.0× 63 0.5× 44 0.4× 12 0.3× 25 0.8× 11 447

Countries citing papers authored by Kentaro Miyamoto

Since Specialization
Citations

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

Fields of papers citing papers by Kentaro Miyamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kentaro Miyamoto. 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 Kentaro Miyamoto. The network helps show where Kentaro Miyamoto may publish in the future.

Co-authorship network of co-authors of Kentaro Miyamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Kentaro Miyamoto. A scholar is included among the top collaborators of Kentaro Miyamoto 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 Kentaro Miyamoto. Kentaro Miyamoto 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.
Miyamoto, Kentaro, Shiho Tanaka, Ali Mahmoodi, et al.. (2025). Asymmetric projection of introspection reveals a behavioural and neural mechanism for interindividual social coordination. Nature Communications. 16(1). 295–295.
2.
Abe, Hiroshi, Mark J. Buckley, Kentaro Miyamoto, et al.. (2024). Direct current stimulation modulates prefrontal cell activity and behaviour without inducing seizure-like firing. Brain. 147(11). 3751–3763. 2 indexed citations
4.
Miyamoto, Kentaro, Rieko Setsuie, & Yasushi Miyashita. (2022). Conversion of concept-specific decision confidence into integrative introspection in primates. Cell Reports. 38(13). 110581–110581. 2 indexed citations
5.
Lazari, Alberto, Piergiorgio Salvan, Michiel Cottaar, et al.. (2021). Reassessing associations between white matter and behaviour with multimodal microstructural imaging. Cortex. 145. 187–200. 8 indexed citations
6.
Miyamoto, Kentaro, Michele C. Lim, Alberto Lazari, et al.. (2021). Identification and disruption of a neural mechanism for accumulating prospective metacognitive information prior to decision-making. Neuron. 109(8). 1396–1408.e7. 22 indexed citations
7.
Miyamoto, Kentaro, et al.. (2018). Invisible light inside the natural blind spot alters brightness at a remote location. Scientific Reports. 8(1). 7540–7540. 9 indexed citations
8.
Miyamoto, Kentaro, Rieko Setsuie, Takahiro Osada, & Yasushi Miyashita. (2018). Reversible Silencing of the Frontopolar Cortex Selectively Impairs Metacognitive Judgment on Non-experience in Primates. Neuron. 97(4). 980–989.e6. 50 indexed citations
9.
Tamura, Keita, Masaki Takeda, Rieko Setsuie, et al.. (2017). Conversion of object identity to object-general semantic value in the primate temporal cortex. Science. 357(6352). 687–692. 40 indexed citations
10.
Miyamoto, Kentaro, Takahiro Osada, Rieko Setsuie, et al.. (2017). Causal neural network of metamemory for retrospection in primates. Science. 355(6321). 188–193. 67 indexed citations
11.
Miyamoto, Kentaro & Ikuya Murakami. (2015). Pupillary light reflex to light inside the natural blind spot. Scientific Reports. 5(1). 11862–11862. 8 indexed citations
12.
Osada, Takahiro, Yusuke Adachi, Kentaro Miyamoto, et al.. (2015). Dynamically Allocated Hub in Task-Evoked Network Predicts the Vulnerable Prefrontal Locus for Contextual Memory Retrieval in Macaques. PLoS Biology. 13(6). e1002177–e1002177. 16 indexed citations
13.
Miyamoto, Kentaro, Takahiro Osada, & Yusuke Adachi. (2014). Remapping of memory encoding and retrieval networks: Insights from neuroimaging in primates. Behavioural Brain Research. 275. 53–61. 7 indexed citations
14.
Miyamoto, Kentaro, Yusuke Adachi, Takahiro Osada, et al.. (2014). Dissociable Memory Traces within the Macaque Medial Temporal Lobe Predict Subsequent Recognition Performance. Journal of Neuroscience. 34(5). 1988–1997. 16 indexed citations
15.
Miyamoto, Kentaro, Takahiro Osada, Yusuke Adachi, et al.. (2013). Functional Differentiation of Memory Retrieval Network in Macaque Posterior Parietal Cortex. Neuron. 77(4). 787–799. 30 indexed citations
16.
Matsui, Teppei, Kenji W. Koyano, Keita Tamura, et al.. (2012). fMRI Activity in the Macaque Cerebellum Evoked by Intracortical Microstimulation of the Primary Somatosensory Cortex: Evidence for Polysynaptic Propagation. PLoS ONE. 7(10). e47515–e47515. 19 indexed citations
17.
Adachi, Yusuke, Takahiro Osada, Olaf Sporns, et al.. (2011). Functional Connectivity between Anatomically Unconnected Areas Is Shaped by Collective Network-Level Effects in the Macaque Cortex. Cerebral Cortex. 22(7). 1586–1592. 164 indexed citations
18.
Miyamoto, Kentaro, et al.. (2006). An image segmentation method for function approximation of gradation images. International Conference on Signal Processing. 2006. 238–243. 1 indexed citations
19.
Arakawa, Shin’ichi, Kentaro Miyamoto, Masayuki Murata, & Hideo Miyahara. (2000). Performance Analysis of Wavelength Assignment Method for High-Speed Data Transfer in Photonic Networks. 83(4). 424–433. 1 indexed citations
20.
Hirata, Kenji, et al.. (1997). Cryopreservation of encapsulated shoot primordia induced in horseradish (Armoracia rusticana) hairy root cultures. Plant Cell Reports. 16(7). 469–473. 2 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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