Minoru Hoshiyama

977 total citations
71 papers, 563 citations indexed

About

Minoru Hoshiyama is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Minoru Hoshiyama has authored 71 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 16 papers in Psychiatry and Mental health and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Minoru Hoshiyama's work include Functional Brain Connectivity Studies (16 papers), EEG and Brain-Computer Interfaces (15 papers) and Neural dynamics and brain function (12 papers). Minoru Hoshiyama is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), EEG and Brain-Computer Interfaces (15 papers) and Neural dynamics and brain function (12 papers). Minoru Hoshiyama collaborates with scholars based in Japan, Australia and United States. Minoru Hoshiyama's co-authors include Noriyuki Tanaka, Ryusuke Kakigi, Yuko Iwamoto, Junichi Uemura, Kazuyo Oguchi, Yoshiki Kaneoke, Takashi Hoshino, Hitoshi Hirata, Motoko Shimojo and Kenji Inoue and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Minoru Hoshiyama

68 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minoru Hoshiyama Japan 14 318 103 89 76 70 71 563
David M. A. Mehler Germany 10 336 1.1× 45 0.4× 82 0.9× 91 1.2× 68 1.0× 17 524
Jameson K. Holden United States 16 473 1.5× 66 0.6× 57 0.6× 73 1.0× 70 1.0× 32 728
Renate Schweizer Germany 16 537 1.7× 192 1.9× 87 1.0× 46 0.6× 111 1.6× 27 749
Judy Kipping Germany 10 416 1.3× 285 2.8× 127 1.4× 61 0.8× 54 0.8× 14 646
Minoru Toyokura Japan 14 192 0.6× 110 1.1× 78 0.9× 52 0.7× 78 1.1× 52 478
Malcolm B. Hawken United Kingdom 13 411 1.3× 91 0.9× 39 0.4× 155 2.0× 55 0.8× 32 861
J. Ilmberger Germany 14 237 0.7× 70 0.7× 108 1.2× 107 1.4× 52 0.7× 37 588
Matilde Ercolani Italy 17 509 1.6× 238 2.3× 86 1.0× 70 0.9× 114 1.6× 23 782
Jing Tian China 15 302 0.9× 258 2.5× 61 0.7× 38 0.5× 27 0.4× 54 705
R. Dineth Fonseka Australia 13 319 1.0× 43 0.4× 163 1.8× 99 1.3× 62 0.9× 36 588

Countries citing papers authored by Minoru Hoshiyama

Since Specialization
Citations

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

Fields of papers citing papers by Minoru Hoshiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minoru Hoshiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Minoru Hoshiyama. A scholar is included among the top collaborators of Minoru Hoshiyama 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 Minoru Hoshiyama. Minoru Hoshiyama 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.
Okazaki, Masaki, et al.. (2025). Recovery of motor functions and cognitive functions in patients with intensive care unit–acquired weakness. Journal of Critical Care. 91. 155273–155273.
3.
Osumi, Michihiro, Masahiko Sumitani, Katsuyuki Iwatsuki, et al.. (2023). Resting-state Electroencephalography Microstates Correlate with Pain Intensity in Patients with Complex Regional Pain Syndrome. Clinical EEG and Neuroscience. 55(1). 121–129. 4 indexed citations
4.
Kawabata, Kazuya, Epifanio Bagarinao, Hirohisa Watanabe, et al.. (2022). Functional connector hubs in the cerebellum. NeuroImage. 257. 119263–119263. 22 indexed citations
6.
Iwatsuki, Katsuyuki, et al.. (2021). Chronic pain-related cortical neural activity in patients with complex regional pain syndrome. IBRO Neuroscience Reports. 10. 208–215. 10 indexed citations
7.
Bagarinao, Epifanio, Hirohisa Watanabe, Satoshi Maesawa, et al.. (2020). Identifying the brain's connector hubs at the voxel level using functional connectivity overlap ratio. NeuroImage. 222. 117241–117241. 17 indexed citations
8.
Maesawa, Satoshi, Hiroyuki Yamamoto, Masashi Shibata, et al.. (2020). Distributed source analysis of magnetoencephalography using a volume head model combined with statistical methods improves focus diagnosis in epilepsy surgery. Scientific Reports. 10(1). 5263–5263. 2 indexed citations
9.
Iwatsuki, Katsuyuki, Minoru Hoshiyama, Akihito Yoshida, Takaaki Shinohara, & Hitoshi Hirata. (2019). A magnetoencephalographic study of longitudinal brain function alterations following carpal tunnel release. Scientific Reports. 9(1). 19776–19776. 5 indexed citations
10.
Yoshikawa, Tomohiro, Minoru Hoshiyama, Taeko Makino, et al.. (2018). Study on Estimation of MMSE Score by Using the Latency of P300 and Alpha Wave. 34. 195–199. 1 indexed citations
11.
Bagarinao, Epifanio, Satoshi Maesawa, Yuji Ito, et al.. (2017). Detecting sub-second changes in brain activation patterns during interictal epileptic spike using simultaneous EEG-fMRI. Clinical Neurophysiology. 129(2). 377–389. 5 indexed citations
12.
Bagarinao, Epifanio, Hirohisa Watanabe, Satoshi Maesawa, et al.. (2017). An unbiased data-driven age-related structural brain parcellation for the identification of intrinsic brain volume changes over the adult lifespan. NeuroImage. 169. 134–144. 37 indexed citations
13.
Senda, Joe, Keizo Yasui, Yasuhiro Hasegawa, et al.. (2016). Distinctive distribution of brain volume reductions in MELAS and mitochondrial DNA A3243G mutation carriers: A voxel-based morphometric study. Mitochondrion. 30. 229–235. 11 indexed citations
14.
Yokoi, Satoshi, et al.. (2014). Effectiveness of midazolam for L-arginine-resistant headaches during stroke-like episodes in MELAS: a case report. Rinsho Shinkeigaku. 54(11). 882–887. 6 indexed citations
15.
Fujisawa, Yoshiro, et al.. (2014). Disinhibitory shift of recovery curve of somatosensory-evoked response in elderly: A magnetoencephalographic study. Clinical Neurophysiology. 126(6). 1228–1233. 10 indexed citations
16.
Hoshiyama, Minoru, et al.. (2012). Effects of emotional music on visual processes in inferior temporal area. Cognitive Neuroscience. 4(1). 21–30. 14 indexed citations
17.
Uemura, Junichi, et al.. (2011). Event-related potential study of frontal activity during imagination of rhythm. Journal of Clinical Neuroscience. 18(12). 1687–1689. 3 indexed citations
18.
Hoshiyama, Minoru, et al.. (2010). Effects of music therapy on involuntary swallowing. Nordic Journal of Music Therapy. 19(1). 51–62. 3 indexed citations
19.
Uemura, Junichi & Minoru Hoshiyama. (2007). Variability of P300 in elderly patients with dementia during a single day. International Journal of Rehabilitation Research. 30(2). 167–170. 3 indexed citations
20.
Hoshiyama, Minoru. (2002). New concept for the recovery function of short-latency somatosensory evoked cortical potentials following median nerve stimulation. Clinical Neurophysiology. 113(4). 535–541. 31 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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