Makiko Kishimoto

442 total citations
13 papers, 339 citations indexed

About

Makiko Kishimoto is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Psychology. According to data from OpenAlex, Makiko Kishimoto has authored 13 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Clinical Psychology. Recurrent topics in Makiko Kishimoto's work include Neurotransmitter Receptor Influence on Behavior (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Ion channel regulation and function (2 papers). Makiko Kishimoto is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Ion channel regulation and function (2 papers). Makiko Kishimoto collaborates with scholars based in Japan. Makiko Kishimoto's co-authors include Hiroshi Ujike, Yuji Tanaka, Shigetoshi Kuroda, Yuko Okahisa, Yukitaka Morita, Tatsuya Kotaka, Toshiya Inada, Ichiro Sora, Nakao Iwata and Masaomi Iyo and has published in prestigious journals such as Biological Psychiatry, International Journal of Molecular Sciences and International Journal of Environmental Research and Public Health.

In The Last Decade

Makiko Kishimoto

13 papers receiving 335 citations

Peers

Makiko Kishimoto
Michael Lewis United States
Michael Popiolek United States
Micah Simmons United States
Makiko Kishimoto
Citations per year, relative to Makiko Kishimoto Makiko Kishimoto (= 1×) peers Tatsuya Kotaka

Countries citing papers authored by Makiko Kishimoto

Since Specialization
Citations

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

Fields of papers citing papers by Makiko Kishimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makiko Kishimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Makiko Kishimoto. A scholar is included among the top collaborators of Makiko Kishimoto 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 Makiko Kishimoto. Makiko Kishimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Kishimoto, Makiko, et al.. (2023). Initial Outcomes of the Safe and Sound Protocol on Patients with Adult Autism Spectrum Disorder: Exploratory Pilot Study. International Journal of Environmental Research and Public Health. 20(6). 4862–4862. 4 indexed citations
3.
Kishimoto, Makiko, et al.. (2021). Factors affecting the grieving process after perinatal loss. BMC Women s Health. 21(1). 313–313. 11 indexed citations
4.
Takaki, Manabu, Masafumi Kodama, Makiko Kishimoto, et al.. (2018). Effects of the antipsychotics haloperidol, clozapine, and aripiprazole on the dendritic spine. European Neuropsychopharmacology. 28(5). 610–619. 18 indexed citations
5.
Takaki, Manabu, Shinji Sakamoto, Makiko Kishimoto, et al.. (2016). Human Rho Guanine Nucleotide Exchange Factor 11 (ARHGEF11) Regulates Dendritic Morphogenesis. International Journal of Molecular Sciences. 18(1). 67–67. 16 indexed citations
6.
Kishimoto, Makiko, Hiroshi Ujike, Yuko Okahisa, et al.. (2008). The Frizzled 3 gene is associated with methamphetamine psychosis in the Japanese population. Behavioral and Brain Functions. 4(1). 37–37. 20 indexed citations
7.
Kishimoto, Makiko, Hiroshi Ujike, Yuji Tanaka, et al.. (2007). The Dysbindin Gene (DTNBP1) Is Associated with Methamphetamine Psychosis. Biological Psychiatry. 63(2). 191–196. 49 indexed citations
8.
Morita, Yukitaka, Hiroshi Ujike, Yuji Tanaka, et al.. (2007). The glycine transporter 1 gene (GLYT1) is associated with methamphetamine‐use disorder. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 147B(1). 54–58. 19 indexed citations
9.
Morita, Yukitaka, Hiroshi Ujike, Yuji Tanaka, et al.. (2006). A Genetic Variant of the Serine Racemase Gene Is Associated with Schizophrenia. Biological Psychiatry. 61(10). 1200–1203. 83 indexed citations
10.
Nomura, Akira, Hiroshi Ujike, Yuji Tanaka, et al.. (2006). Genetic variant of prodynorphin gene is risk factor for methamphetamine dependence. Neuroscience Letters. 400(1-2). 158–162. 23 indexed citations
11.
Ujike, Hiroshi, Yuji Tanaka, Yukitaka Morita, et al.. (2005). The ZDHHC8 gene did not associate with bipolar disorder or schizophrenia. Neuroscience Letters. 390(3). 166–170. 32 indexed citations
12.
Morita, Yukitaka, Hiroshi Ujike, Yuji Tanaka, et al.. (2005). The X-box binding protein 1 (XBP1) gene is not associated with methamphetamine dependence. Neuroscience Letters. 383(1-2). 194–198. 12 indexed citations
13.
Morita, Yukitaka, Hiroshi Ujike, Yuji Tanaka, et al.. (2004). A nonsynonymous polymorphism in the human fatty acid amide hydrolase gene did not associate with either methamphetamine dependence or schizophrenia. Neuroscience Letters. 376(3). 182–187. 51 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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