Kunio Yui

1.5k total citations
71 papers, 1.1k citations indexed

About

Kunio Yui is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Kunio Yui has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 24 papers in Psychiatry and Mental health and 21 papers in Cognitive Neuroscience. Recurrent topics in Kunio Yui's work include Neurotransmitter Receptor Influence on Behavior (31 papers), Autism Spectrum Disorder Research (17 papers) and Tryptophan and brain disorders (14 papers). Kunio Yui is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (31 papers), Autism Spectrum Disorder Research (17 papers) and Tryptophan and brain disorders (14 papers). Kunio Yui collaborates with scholars based in Japan and United States. Kunio Yui's co-authors include Shigenori Ikemoto, Takeo Ishiguro, Kimihiko Goto, George Imataka, Koichi Nisijima, Yohei Kawasaki, Shun Nakamura, Yuji Kobayashi, Katsutoshi Shioda and Naoki Ohara and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain Research.

In The Last Decade

Kunio Yui

65 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunio Yui Japan 18 427 352 263 215 177 71 1.1k
Mohab Alexander United States 14 661 1.5× 164 0.5× 224 0.9× 314 1.5× 179 1.0× 32 1.3k
Christoph Fehr Germany 20 630 1.5× 270 0.8× 449 1.7× 338 1.6× 180 1.0× 45 1.7k
John Gatley United States 12 701 1.6× 198 0.6× 262 1.0× 391 1.8× 199 1.1× 15 1.2k
Paweł Mierzejewski Poland 23 541 1.3× 193 0.5× 447 1.7× 174 0.8× 253 1.4× 95 1.4k
Gene‐Jack Wang United States 7 723 1.7× 130 0.4× 183 0.7× 231 1.1× 128 0.7× 8 1.0k
Christopher D. Verrico United States 23 830 1.9× 199 0.6× 316 1.2× 251 1.2× 672 3.8× 58 1.5k
G J Wang United States 12 1.2k 2.8× 348 1.0× 447 1.7× 558 2.6× 211 1.2× 14 1.9k
Gregory A. Schmunk United States 13 851 2.0× 101 0.3× 328 1.2× 150 0.7× 138 0.8× 22 1.3k
Verónica Bisagno Argentina 25 786 1.8× 120 0.3× 401 1.5× 439 2.0× 135 0.8× 61 1.5k

Countries citing papers authored by Kunio Yui

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Yui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunio Yui

This figure shows the co-authorship network connecting the top 25 collaborators of Kunio Yui. A scholar is included among the top collaborators of Kunio Yui 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 Kunio Yui. Kunio Yui 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
2.
Yui, Kunio, George Imataka, & Tadashi Shiohama. (2023). Lipid Peroxidation via Regulating the Metabolism of Docosahexaenoic Acid and Arachidonic Acid in Autistic Behavioral Symptoms. Current Issues in Molecular Biology. 45(11). 9149–9164. 2 indexed citations
3.
Yui, Kunio, George Imataka, & Tadashi Shiohama. (2023). Lipid Peroxidation of the Docosahexaenoic Acid/Arachidonic Acid Ratio Relating to the Social Behaviors of Individuals with Autism Spectrum Disorder: The Relationship with Ferroptosis. International Journal of Molecular Sciences. 24(19). 14796–14796. 7 indexed citations
4.
Yui, Kunio, George Imataka, Hitomi Sasaki, & Ryoichi Shiroki. (2020). The role of lipid peroxidation in individuals with autism spectrum disorders. Metabolic Brain Disease. 35(7). 1101–1108. 8 indexed citations
5.
6.
Yui, Kunio, Yohei Kawasaki, Hiroshi Yamada, & Shintaro Ogawa. (2016). Oxidative Stress and Nitric Oxide in Autism Spectrum Disorder and Other Neuropsychiatric Disorders. CNS & Neurological Disorders - Drug Targets. 15(5). 587–596. 64 indexed citations
7.
Mimura, Koki, Toyotoshi Ueda, Hirohisa Kishino, et al.. (2013). A cross-species socio-emotional behaviour development revealed by a multivariate analysis. Scientific Reports. 3(1). 2630–2630. 9 indexed citations
8.
Nisijima, Koichi, et al.. (2008). Oseltamivir (Tamiflu®) increases dopamine levels in the rat medial prefrontal cortex. Neuroscience Letters. 438(1). 67–69. 36 indexed citations
9.
Nisijima, Koichi, et al.. (2002). Tandospirone potentiates the fluoxetine-induced increases in extracellular dopamine via 5-HT1A receptors in the rat medial frontal cortex. Neurochemistry International. 40(4). 355–360. 35 indexed citations
10.
Yui, Kunio, Shigenori Ikemoto, & Kimihiko Goto. (2002). Factors for Susceptibility to Episode Recurrence in Spontaneous Recurrence of Methamphetamine Psychosis. Annals of the New York Academy of Sciences. 965(1). 292–304. 18 indexed citations
12.
Yui, Kunio, Shigenori Ikemoto, Takeo Ishiguro, & Kimihiko Goto. (2000). Studies of Amphetamine or Methamphetamine Psychosis in Japan: Relation of Methamphetamine Psychosis to Schizophrenia. Annals of the New York Academy of Sciences. 914(1). 1–12. 77 indexed citations
14.
Yui, Kunio, Takeo Ishiguro, Kimihiko Goto, & Shigenori Ikemoto. (2000). Susceptibility to Subsequent Episodes in Spontaneous Recurrence of Methamphetamine Psychosis. Annals of the New York Academy of Sciences. 914(1). 292–302. 13 indexed citations
15.
Yui, Kunio, et al.. (1999). Increased sensitivity to stress and episode recurrence in spontaneous recurrence of methamphetamine psychosis. Psychopharmacology. 145(3). 267–272. 12 indexed citations
16.
Yui, Kunio, Takeo Ishiguro, Kunio Gotō, Shigenori Ikemoto, & Yasuyuki Kamata. (1999). Spontaneous recurrence of methampetamine psychosis: increased sensitivity to stress associated with noradrenergic hyperactivity and dopaminergic change. European Archives of Psychiatry and Clinical Neuroscience. 249(2). 103–111. 14 indexed citations
17.
Yui, Kunio, Kunio Gotō, Shigenori Ikemoto, et al.. (1999). Neurobiological basis of relapse prediction in stimulant-induced psychosis and schizophrenia: the role of sensitization. Molecular Psychiatry. 4(6). 512–523. 80 indexed citations
18.
Yui, Kunio, Takeo Ishiguro, Kimihiko Goto, & Shigenori Ikemoto. (1997). Precipitating factors in spontaneous recurrence of methamphetamine psychosis. Psychopharmacology. 134(3). 303–308. 14 indexed citations
19.
Yui, Kunio, et al.. (1995). Methamphetamine plus scopolamine potentiates behavioral sensitization and conditioning. European Journal of Pharmacology. 279(2-3). 135–142. 6 indexed citations
20.
Yui, Kunio & Takao Miura. (1994). Behavioral effects of repeated administration of methamphetamine in combination with scopolamine on stereotyped behavioral responses and reactivity to auditory stimulus in rats. Neurology Psychiatry and Brain Research. 2(2). 95–103. 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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