Jun Miyata

2.6k total citations
70 papers, 1.6k citations indexed

About

Jun Miyata is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Jun Miyata has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cognitive Neuroscience, 34 papers in Radiology, Nuclear Medicine and Imaging and 28 papers in Psychiatry and Mental health. Recurrent topics in Jun Miyata's work include Functional Brain Connectivity Studies (37 papers), Advanced Neuroimaging Techniques and Applications (32 papers) and Schizophrenia research and treatment (17 papers). Jun Miyata is often cited by papers focused on Functional Brain Connectivity Studies (37 papers), Advanced Neuroimaging Techniques and Applications (32 papers) and Schizophrenia research and treatment (17 papers). Jun Miyata collaborates with scholars based in Japan, United States and Germany. Jun Miyata's co-authors include Toshiya Murai, Hidenao Fukuyama, Nobukatsu Sawamoto, Hidehiko Takahashi, Kazuyuki Hirao, Hironobu Fujiwara, Manabu Kubota, Ryosaku Kawada, Chihiro Namiki and Takuji Hayashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Jun Miyata

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Miyata Japan 24 947 592 550 228 220 70 1.6k
Cinzia Perlini Italy 24 826 0.9× 450 0.8× 766 1.4× 203 0.9× 202 0.9× 96 1.7k
Snežana Milanović United States 10 1.2k 1.2× 406 0.7× 356 0.6× 175 0.8× 291 1.3× 24 1.6k
Yoichiro Takayanagi Japan 21 619 0.7× 380 0.6× 538 1.0× 137 0.6× 124 0.6× 60 1.3k
Takeshi Asami Japan 22 718 0.8× 431 0.7× 375 0.7× 280 1.2× 319 1.4× 46 1.3k
Katharina M. Kubera Germany 26 980 1.0× 488 0.8× 997 1.8× 275 1.2× 258 1.2× 103 2.1k
Daniele Radaelli Italy 25 698 0.7× 444 0.8× 873 1.6× 325 1.4× 302 1.4× 40 1.7k
Julia M. Sheffield United States 19 917 1.0× 326 0.6× 712 1.3× 273 1.2× 357 1.6× 49 1.6k
Erik O’Hanlon Ireland 21 554 0.6× 314 0.5× 428 0.8× 186 0.8× 133 0.6× 41 1.3k
Emma Sprooten United States 25 846 0.9× 554 0.9× 612 1.1× 129 0.6× 250 1.1× 66 1.7k
Vina M. Goghari Canada 17 564 0.6× 471 0.8× 467 0.8× 122 0.5× 159 0.7× 53 1.2k

Countries citing papers authored by Jun Miyata

Since Specialization
Citations

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

Fields of papers citing papers by Jun Miyata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Miyata

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Miyata. A scholar is included among the top collaborators of Jun Miyata 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 Jun Miyata. Jun Miyata 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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2.
Miyata, Jun, Akihiko Sasamoto, Takahiro Ezaki, et al.. (2024). Associations of conservatism and jumping to conclusions biases with aberrant salience and default mode network. Psychiatry and Clinical Neurosciences. 78(5). 322–331. 5 indexed citations
3.
Son, Shuraku, Jun Miyata, Kazuya Toriumi, et al.. (2024). Association of homocysteine with white matter dysconnectivity in schizophrenia. SHILAP Revista de lepidopterología. 10(1). 39–39.
4.
5.
Kubota, Manabu, et al.. (2023). Commonalities and differences in ECT-induced gray matter volume change between depression and schizophrenia. NeuroImage Clinical. 38. 103429–103429. 4 indexed citations
6.
Oishi, Naoya, Masaaki Hazama, Jun Miyata, et al.. (2023). Information flow and dynamic functional connectivity during electroconvulsive therapy in patients with depression. Journal of Affective Disorders. 328. 141–152. 3 indexed citations
7.
Yamada, Takashi, Yuko Kobayashi, Yujiro Yoshihara, et al.. (2022). Depressive symptoms reduce when dorsolateral prefrontal cortex-precuneus connectivity normalizes after functional connectivity neurofeedback. Scientific Reports. 12(1). 2581–2581. 31 indexed citations
8.
Okada, Tomohisa, et al.. (2021). Why We Should Report Colorimetric Data In Every Paper. eScholarship (California Digital Library). 43(43).
9.
Aso, Toshihiko, Jun Miyata, Genichi Sugihara, et al.. (2020). Early and late effects of electroconvulsive therapy associated with different temporal lobe structures. Translational Psychiatry. 10(1). 344–344. 11 indexed citations
10.
Isobe, Masanori, Kenji Tanigaki, Jun Miyata, et al.. (2015). Polymorphism within a Neuronal Activity-Dependent Enhancer of <b><i>NgR1</i></b> Is Associated with Corpus Callosum Morphology in Humans. PubMed. 1(2). 105–115. 3 indexed citations
11.
Nakamae, Takashi, Yoshihisa Wada, Yuki Sakai, et al.. (2014). A tract-based spatial statistics study in anorexia nervosa: Abnormality in the fornix and the cerebellum. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 51. 72–77. 41 indexed citations
12.
Fujino, Junya, Nobuyuki Yamasaki, Jun Miyata, et al.. (2014). Altered brain response to others׳ pain in major depressive disorder. Journal of Affective Disorders. 165. 170–175. 41 indexed citations
13.
Nakaaki, Shutaro, Nobuhiko Hashimoto, Akiko Kawaguchi, et al.. (2014). Brain structural abnormalities in behavior therapy-resistant obsessive-compulsive disorder revealed by voxel-based morphometry. Neuropsychiatric Disease and Treatment. 10. 1987–1987. 16 indexed citations
14.
Koelkebeck, Katja, Kazuyuki Hirao, Jun Miyata, et al.. (2013). Impact of gray matter reductions on theory of mind abilities in patients with schizophrenia. Social Neuroscience. 8(6). 631–639. 21 indexed citations
15.
Kubota, Manabu, Jun Miyata, Akihiko Sasamoto, et al.. (2012). Alexithymia and reduced white matter integrity in schizophrenia: A diffusion tensor imaging study on impaired emotional self-awareness. Schizophrenia Research. 141(2-3). 137–143. 47 indexed citations
16.
Miyata, Jun, Akihiko Sasamoto, Katja Koelkebeck, et al.. (2011). Abnormal asymmetry of white matter integrity in schizophrenia revealed by voxelwise diffusion tensor imaging. Human Brain Mapping. 33(7). 1741–1749. 43 indexed citations
17.
Koelkebeck, Katja, Kazuyuki Hirao, Jun Miyata, et al.. (2011). Transcultural differences in brain activation patterns during theory of mind (ToM) task performance in Japanese and Caucasian participants. Social Neuroscience. 6(5-6). 615–626. 25 indexed citations
18.
Miyata, Jun, Kazuyuki Hirao, Chihiro Namiki, et al.. (2009). Reduced white matter integrity correlated with cortico–subcortical gray matter deficits in schizophrenia. Schizophrenia Research. 111(1-3). 78–85. 37 indexed citations
19.
Namiki, Chihiro, Makiko Yamada, Jun Miyata, et al.. (2008). The Role of the Uncinate Fasciculus in Memory and Emotional Recognition in Amnestic Mild Cognitive Impairment. Dementia and Geriatric Cognitive Disorders. 26(5). 432–439. 89 indexed citations
20.
Fujiwara, Hironobu, Chihiro Namiki, Kazuyuki Hirao, et al.. (2007). Anterior and posterior cingulum abnormalities and their association with psychopathology in schizophrenia: A diffusion tensor imaging study. Schizophrenia Research. 95(1-3). 215–222. 115 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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