Yu Mimura

1.6k total citations
77 papers, 935 citations indexed

About

Yu Mimura is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Yu Mimura has authored 77 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 15 papers in Cognitive Neuroscience and 14 papers in Psychiatry and Mental health. Recurrent topics in Yu Mimura's work include Optical Network Technologies (20 papers), Transcranial Magnetic Stimulation Studies (11 papers) and Functional Brain Connectivity Studies (11 papers). Yu Mimura is often cited by papers focused on Optical Network Technologies (20 papers), Transcranial Magnetic Stimulation Studies (11 papers) and Functional Brain Connectivity Studies (11 papers). Yu Mimura collaborates with scholars based in Japan, Canada and United States. Yu Mimura's co-authors include Yoshihiro Takeuchi, Yoshihiro Maruo, Katsuyuki Matsui, Masaru Mimura, Ryuichi Sugizaki, Shin Kurose, Asami Mori, Takeshi Yagi, Yoriko Ota and Shinichiro Nakajima and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Neuroscience.

In The Last Decade

Yu Mimura

69 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Mimura Japan 18 293 159 138 131 109 77 935
Torsten Olsson Sweden 19 51 0.2× 152 1.0× 259 1.9× 60 0.5× 222 2.0× 48 1.3k
Kyoo Ho Cho South Korea 14 54 0.2× 166 1.0× 42 0.3× 53 0.4× 43 0.4× 33 691
Sarah E. Hopwood United Kingdom 15 49 0.2× 179 1.1× 248 1.8× 30 0.2× 36 0.3× 15 1.1k
Toshimasa Yamamoto Japan 15 115 0.4× 46 0.3× 105 0.8× 14 0.1× 8 0.1× 83 657
M. Kucharczyk Poland 15 41 0.1× 69 0.4× 111 0.8× 19 0.1× 25 0.2× 35 581
Weizhao Lu China 15 24 0.1× 174 1.1× 64 0.5× 43 0.3× 12 0.1× 65 591
Rohit Dhall United States 17 54 0.2× 184 1.2× 58 0.4× 22 0.2× 15 0.1× 52 1.5k
Cheng‐Ho Chang Taiwan 11 59 0.2× 11 0.1× 83 0.6× 21 0.2× 32 0.3× 35 501
Shinji Sakamoto Japan 14 90 0.3× 15 0.1× 100 0.7× 23 0.2× 16 0.1× 37 479
Antonio Martínez‐Salio Spain 14 25 0.1× 84 0.5× 139 1.0× 54 0.4× 62 0.6× 36 784

Countries citing papers authored by Yu Mimura

Since Specialization
Citations

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

Fields of papers citing papers by Yu Mimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Mimura

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Mimura. A scholar is included among the top collaborators of Yu Mimura 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 Yu Mimura. Yu Mimura 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.
Noda, Yoshihiro, et al.. (2025). Violet light photobiomodulation therapy for depression: A double-blind randomized crossover trial. Journal of Affective Disorders. 376. 325–332. 2 indexed citations
2.
3.
Bun, Shogyoku, Jinichi Hirano, Ryo Ueda, et al.. (2024). Amyloid-β prediction machine learning model using source-based morphometry across neurocognitive disorders. Scientific Reports. 14(1). 7633–7633. 5 indexed citations
4.
Wada, Masataka, Shinichiro Nakajima, Shiori Honda, et al.. (2024). Decreased prefrontal glutamatergic function is associated with a reduced astrocyte-related gene expression in treatment-resistant depression. Translational Psychiatry. 14(1). 478–478. 3 indexed citations
5.
6.
Noda, Yoshihiro, et al.. (2024). Validation of the number of pulses required for TMS-EEG in the prefrontal cortex considering test feasibility. Neuroscience. 554. 63–71. 1 indexed citations
7.
Bun, Shogyoku, Daisuke Ito, Ryo Ueda, et al.. (2023). Performance of plasma Aβ42/40, measured using a fully automated immunoassay, across a broad patient population in identifying amyloid status. Alzheimer s Research & Therapy. 15(1). 149–149. 13 indexed citations
8.
Mimura, Yu, et al.. (2023). Transcranial magnetic stimulation neurophysiology in patients with non-Alzheimer’s neurodegenerative diseases: A systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews. 155. 105451–105451. 4 indexed citations
9.
Funayama, Michitaka, Akihiro Koreki, Shin Kurose, et al.. (2023). Pneumonia Risk Increased by Dementia-Related Daily Living Difficulties: Poor Oral Hygiene and Dysphagia as Contributing Factors. American Journal of Geriatric Psychiatry. 31(11). 877–885. 7 indexed citations
10.
Funayama, Michitaka, Akihiro Koreki, Shin Kurose, et al.. (2022). Differentiating autoimmune encephalitis from schizophrenia spectrum disorders among patients with first-episode psychosis. Journal of Psychiatric Research. 151. 419–426. 3 indexed citations
11.
Ogyu, Kamiyu, Yoshihiro Noda, Kazunari Yoshida, et al.. (2020). Early improvements of individual symptoms as a predictor of treatment response to asenapine in patients with schizophrenia. Neuropsychopharmacology Reports. 40(2). 138–149. 5 indexed citations
12.
Mimura, Yu, Shinichiro Nakajima, Sakiko Tsugawa, et al.. (2020). Neurophysiological biomarkers using transcranial magnetic stimulation in Alzheimer’s disease and mild cognitive impairment: A systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews. 121. 47–59. 55 indexed citations
13.
Maruo, Yoshihiro, et al.. (2016). Successful every-other-day liothyronine therapy for severe resistance to thyroid hormone beta with a novel THRB mutation; case report. BMC Endocrine Disorders. 16(1). 1–1. 32 indexed citations
14.
Yoshida, Keitaro, Yu Mimura, Hiroshi Nishida, et al.. (2016). Physiological effects of a habituation procedure for functional MRI in awake mice using a cryogenic radiofrequency probe. Journal of Neuroscience Methods. 274. 38–48. 59 indexed citations
15.
Maruo, Yoshihiro, Keisuke Nagasaki, Katsuyuki Matsui, et al.. (2016). Natural course of congenital hypothyroidism by dual oxidase 2 mutations from the neonatal period through puberty. European Journal of Endocrinology. 174(4). 453–463. 35 indexed citations
16.
Mimura, Yu, et al.. (2012). Batch Multicore Amplification with Cladding-Pumped Multicore EDF. IEICE Technical Report; IEICE Tech. Rep.. 112(258). 151–154. 1 indexed citations
17.
Ota, Yoriko, Yoshihiro Maruo, Katsuyuki Matsui, et al.. (2011). Inhibitory Effect of 5β-Pregnane-3α,20β-Diol on Transcriptional Activity and Enzyme Activity of Human Bilirubin UDP-Glucuronosyltransferase. Pediatric Research. 70(5). 453–457. 17 indexed citations
18.
Inoue, Takashi, et al.. (2007). Generation of in-phase pulse train from optical beat signal. Optics Letters. 32(11). 1596–1596. 19 indexed citations
19.
Inoue, Takashi, et al.. (2007). Stationary rescaled pulse in dispersion-managed comblike profiled fiber for highly efficient and high-quality optical pulse compression. Optics Letters. 32(18). 2695–2695. 2 indexed citations
20.
Yamada, Makiko, et al.. (1980). [Neutrophil beta-glucuronidase activity in Behçet's disease (author's transl)].. PubMed. 84(9). 1099–106. 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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