Yu Mimura

852 citations
47 papers · 592 · h-index 12

Impact in

Papers in

    • Transcranial Magnetic Stimulation Studies 15
    • Long-Term Effects of COVID-19 2
    • Dementia and Cognitive Impairment Research 7
    • Schizophrenia research and treatment 3
    • Bipolar Disorder and Treatment 2

Yu Mimura

40 papers receiving 581 citations

Peers

Yu Mimura
Comparison fields: 5 of 79
  • Neurology 111
  • Psychiatry and Mental health 168
  • Biological Psychiatry 7
  • Endocrinology, Diabetes and Metabolism 59
  • Cognitive Neuroscience 70
Replace Shin Kurose with:
Shin Kurose Japan
Bodyl A. Brand Netherlands
Victor M. Tang Canada
Timothy J. Meeker United States
Juliane Döhring Germany
Yera Choi South Korea
Andrew Lautin United States
Alejandra Mondragón‐Maya Mexico
Laura Cremaschi Italy
Julia Maruani France
Yu Mimura relative to Shin Kurose Japan Shin Kurose's profile →
Citations per field
00.5×2×4×6×8.4×
Shin Kurose · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Yu Mimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu Mimura Line = papers co-authored together Yu Mimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201974
2 202067
3 201665
4 201945
5 201640
6 202136
7 201632
8 202225
9 202323
10 202015
11 202214
12 202312
13 202411
14 202210
15 20199
16 20209
17 20258
18 20217
19 20227
20 20247

About Yu Mimura

Yu Mimura is a scholar working on Neurology, Psychiatry and Mental health, Clinical Psychology, Neurology and Pharmacology, having authored 47 papers that have together received 592 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (15 papers), Dementia and Cognitive Impairment Research (7 papers), Eating Disorders and Behaviors (4 papers), Schizophrenia research and treatment (3 papers), Long-Term Effects of COVID-19 (2 papers), Treatment of Major Depression (2 papers), Bipolar Disorder and Treatment (2 papers) and Thyroid Disorders and Treatments (2 papers). The work is most often cited by research in Neurology (111 citations), Psychiatry and Mental health (168 citations), Biological Psychiatry (7 citations), Endocrinology, Diabetes and Metabolism (59 citations) and Cognitive Neuroscience (70 citations). Yu Mimura has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Masaru Mimura, Shin Kurose, Yoshihiro Noda, Masataka Wada, Shinichiro Nakajima, Sakiko Tsugawa, Michitaka Funayama, Kamiyu Ogyu, Takahiro Miyazaki and Asami Mori. Their work appears in journals such as Journal of Psychiatric Research, Alzheimer s Research & Therapy, Journal of Affective Disorders, Clinical Neurophysiology and Neuroscience & Biobehavioral Reviews.

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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