Hideaki Ninomiya

1.7k total citations
50 papers, 1.4k citations indexed

About

Hideaki Ninomiya is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Hideaki Ninomiya has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 17 papers in Molecular Biology and 12 papers in Cognitive Neuroscience. Recurrent topics in Hideaki Ninomiya's work include Neuroscience and Neuropharmacology Research (17 papers), Receptor Mechanisms and Signaling (14 papers) and Ion channel regulation and function (10 papers). Hideaki Ninomiya is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Receptor Mechanisms and Signaling (14 papers) and Ion channel regulation and function (10 papers). Hideaki Ninomiya collaborates with scholars based in Japan, United States and Australia. Hideaki Ninomiya's co-authors include Nobutada Tashiro, Yasuyuki Fukumaki, Hiroki Shibata, Kohsuke Mamiya, Ichiro Ieiri, Shun Higuchi, Toshiaki Onitsuka, Kenji Otsubo, Eiji Yukawa and Jun Imai and has published in prestigious journals such as Molecular Psychiatry, Epilepsia and Psychiatry Research.

In The Last Decade

Hideaki Ninomiya

49 papers receiving 1.3k citations

Peers

Hideaki Ninomiya
Nobutada Tashiro Japan
Harish C. Prasad United States
Takahiro Shinkai Japan
Tohru Ohnuma Japan
L. Singh United Kingdom
W Löscher Germany
María Elisa Alonso Mexico
Frank Faltraco Germany
Marcus E. Risner United States
Javier Corchero Spain
Nobutada Tashiro Japan
Hideaki Ninomiya
Citations per year, relative to Hideaki Ninomiya Hideaki Ninomiya (= 1×) peers Nobutada Tashiro

Countries citing papers authored by Hideaki Ninomiya

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Ninomiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Ninomiya

This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Ninomiya. A scholar is included among the top collaborators of Hideaki Ninomiya 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 Hideaki Ninomiya. Hideaki Ninomiya 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.
Onitsuka, Toshiaki, et al.. (2014). Prism Adaptation and Perceptual Skill Learning Deficits in Early-Stage Parkinson's Disease. Neuropsychobiology. 70(3). 165–172. 5 indexed citations
2.
Gotoh, Leo, Hiroshi Mitsuyasu, Naoya Oribe, et al.. (2009). Association analysis of adenosine A1 receptor gene (ADORA1) polymorphisms with schizophrenia in a Japanese population. Psychiatric Genetics. 19(6). 328–335. 19 indexed citations
3.
Shibata, Hiroki, Hideaki Ninomiya, Nobutada Tashiro, et al.. (2009). Association study of polymorphisms in the group III metabotropic glutamate receptor genes, GRM4 and GRM7, with schizophrenia. Psychiatry Research. 167(1-2). 88–96. 38 indexed citations
4.
Shibata, Hiroki, et al.. (2008). Association analysis of the glutamic acid decarboxylase 2 and the glutamine synthetase genes (GAD2, GLUL) with schizophrenia. Psychiatric Genetics. 19(1). 6–13. 10 indexed citations
5.
Shibata, Hiroki, Naoko Takeuchi, Hideaki Ninomiya, et al.. (2007). Association study of polymorphisms in the glutamate transporter genes SLC1A1, SLC1A3, and SLC1A6 with schizophrenia. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 144B(3). 271–278. 44 indexed citations
6.
Mitsuyasu, Hiroshi, Hiroaki Kawasaki, Hideaki Ninomiya, et al.. (2006). Genetic structure of the dopamine receptor D4 gene (DRD4) and lack of association with schizophrenia in Japanese patients. Journal of Psychiatric Research. 41(9). 763–775. 7 indexed citations
7.
Yoshimura, Reiji, Jun Nakamura, Koji Shinkai, et al.. (2005). An open study of risperidone liquid in the acute phase of schizophrenia. Human Psychopharmacology Clinical and Experimental. 20(4). 243–248. 18 indexed citations
8.
Takaki, Hiromi, et al.. (2004). Positive associations of polymorphisms in the metabotropic glutamate receptor type 8 gene (GRM8) with schizophrenia. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 128B(1). 6–14. 44 indexed citations
9.
Onitsuka, Toshiaki, et al.. (2003). Differential characteristics of the middle latency auditory evoked magnetic responses to interstimulus intervals. Clinical Neurophysiology. 114(8). 1513–1520. 11 indexed citations
10.
Shibata, Hiroki, et al.. (2003). Positive associations of polymorphisms in the metabotropic glutamate receptor type 3 gene ( GRM3 ) with schizophrenia. Psychiatric Genetics. 13(2). 71–76. 100 indexed citations
11.
Shibata, Hiroki, Atsushi Shibata, Hideaki Ninomiya, Nobutada Tashiro, & Yasuyuki Fukumaki. (2002). Association study of polymorphisms in the GluR6 kainate receptor gene (GRIK2) with schizophrenia. Psychiatry Research. 113(1-2). 59–67. 21 indexed citations
12.
Shibata, Atsushi, et al.. (2002). Positive association of the AMPA receptor subunit GluR4 gene (GRIA4) haplotype with schizophrenia: Linkage disequilibrium mapping using SNPs evenly distributed across the gene region. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 116B(1). 17–22. 51 indexed citations
13.
Mamiya, Kohsuke, et al.. (2001). Phenytoin Intoxication Induced by Fluvoxamine. Therapeutic Drug Monitoring. 23(1). 75–77. 23 indexed citations
14.
Ninomiya, Hideaki, et al.. (2000). Auditory P50 obtained with a repetitive stimulus paradigm shows suppression to high‐intensity tones. Psychiatry and Clinical Neurosciences. 54(4). 493–497. 8 indexed citations
15.
Imai, Jun, Ichiro Ieiri, Kohsuke Mamiya, et al.. (2000). Polymorphism of the cytochrome P450 (CYP) 2C9 gene in Japanese epileptic patients: genetic analysis of the CYP2C9 locus. Pharmacogenetics. 10(1). 85–89. 114 indexed citations
16.
Mamiya, Kohsuke, Eiji Yukawa, Ichiro Ieiri, et al.. (2000). CYP2C19 polymorphism effect on phenobarbitone. European Journal of Clinical Pharmacology. 55(11-12). 821–825. 57 indexed citations
17.
Ninomiya, Hideaki, et al.. (1998). P300 in response to the subject's own face. Psychiatry and Clinical Neurosciences. 52(5). 519–522. 87 indexed citations
18.
19.
Ninomiya, Hideaki, et al.. (1997). Influence of reference electrodes, stimulation characteristics and task paradigms on auditory P50. Psychiatry and Clinical Neurosciences. 51(3). 139–143. 6 indexed citations
20.
Ninomiya, Hideaki, et al.. (1997). A study of verbal and spatial information processing using event‐related potentials and positron emission tomography. Psychiatry and Clinical Neurosciences. 51(5). 327–332. 1 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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