Keiko Iwata

2.0k total citations
47 papers, 1.4k citations indexed

About

Keiko Iwata is a scholar working on Molecular Biology, Cognitive Neuroscience and Genetics. According to data from OpenAlex, Keiko Iwata has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Cognitive Neuroscience and 13 papers in Genetics. Recurrent topics in Keiko Iwata's work include Autism Spectrum Disorder Research (17 papers), Genetics and Neurodevelopmental Disorders (12 papers) and Neuroscience and Neuropharmacology Research (8 papers). Keiko Iwata is often cited by papers focused on Autism Spectrum Disorder Research (17 papers), Genetics and Neurodevelopmental Disorders (12 papers) and Neuroscience and Neuropharmacology Research (8 papers). Keiko Iwata collaborates with scholars based in Japan, Italy and Brazil. Keiko Iwata's co-authors include Norio Mori, Hideo Matsuzaki, Katsuaki Suzuki, Tomoyasu Wakuda, Masatsugu Tsujii, Kazuhiko Nakamura, Tadasu Ikeda, Kenji J. Tsuchiya, Yasuhide Iwata and Yosuke Kameno and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Keiko Iwata

45 papers receiving 1.3k citations

Peers

Keiko Iwata

GENET

CMN

PMH

Hongen Wei China

Tomoyasu Wakuda Japan

Federico Bolognani United States

Ayyappan Anitha Japan

Ciara Fahey Ireland

Tianlan Lu China

Xiaohong Li China

Shiro Suda Japan

Noriyoshi Usui Japan

Lingjun Zuo United States

Hongen Wei China

Keiko Iwata

376 ×0.7

513 ×1.1

415 ×1.1

GENET

192 ×1.0

CMN

123 ×0.7

PMH

Citations per year, relative to Keiko Iwata Keiko Iwata (= 1×) peers Hongen Wei

Countries citing papers authored by Keiko Iwata

Since Specialization

Citations

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

Fields of papers citing papers by Keiko Iwata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Iwata

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

All Works

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20 of 20 papers shown

Iwata, Keiko, et al.. (2025). Mitochondrial Transplantation in Animal Models of Psychiatric Disorders: A Novel Approach to Psychiatric Treatment. Biomolecules. 15(2). 184–184. 2 indexed citations

Iwata, Keiko, et al.. (2022). Measurement of Mitochondrial Respiration in Cryopreserved Human Peripheral Blood Mononuclear Cells (PBMCs). Methods in molecular biology. 2511. 321–332. 2 indexed citations

Zaninello, Marta, Konstantinos Palikaras, Déborah Naón, et al.. (2020). Inhibition of autophagy curtails visual loss in a model of autosomal dominant optic atrophy. Nature Communications. 11(1). 4029–4029. 66 indexed citations

Usui, Noriyoshi, Keiko Iwata, Taishi Miyachi, et al.. (2020). Increased plasma lipoprotein lipase activity in males with autism spectrum disorder. Research in autism spectrum disorders. 77. 101630–101630. 6 indexed citations

Takarada‐Iemata, Mika, Toru Yoshihara, Keiko Iwata, et al.. (2020). Abnormal social behavior and altered gene expression in mice lacking NDRG2. Neuroscience Letters. 743. 135563–135563. 1 indexed citations

Iwata, Keiko. (2019). Mitochondrial Involvement in Mental Disorders: Energy Metabolism and Genetic and Environmental Factors. Advances in experimental medicine and biology. 1118. 63–70. 14 indexed citations

Ishikawa, Yasuyuki, Hideshi Yagi, Tokuichi Iguchi, et al.. (2019). PIP3-Phldb2 is crucial for LTP regulating synaptic NMDA and AMPA receptor density and PSD95 turnover. Scientific Reports. 9(1). 4305–4305. 15 indexed citations

Iwata, Keiko. (2018). Mitochondrial Involvement in Mental Disorders; Energy Metabolism, Genetic, and Environmental Factors. Methods in molecular biology. 1916. 41–48. 5 indexed citations

Iwata, Keiko. (2018). Characterization of an Animal Model of Autism and Social Interaction. Methods in molecular biology. 1916. 149–155. 5 indexed citations

10.

Makinodan, Manabu, Keiko Iwata, Daisuke Ikawa, et al.. (2016). Tumor necrosis factor-alpha expression in peripheral blood mononuclear cells correlates with early childhood social interaction in autism spectrum disorder. Neurochemistry International. 104. 1–5. 10 indexed citations

11.

Guest, Paul C., Keiko Iwata, Takahiro A. Kato, et al.. (2015). MK-801 treatment affects glycolysis in oligodendrocytes more than in astrocytes and neuronal cells: insights for schizophrenia. Frontiers in Cellular Neuroscience. 9. 180–180. 39 indexed citations

12.

Wakuda, Tomoyasu, Keiko Iwata, Yasuhide Iwata, et al.. (2014). Perinatal asphyxia alters neuregulin-1 and COMT gene expression in the medial prefrontal cortex in rats. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 56. 149–154. 13 indexed citations

13.

Thanseem, Ismail, Ayyappan Anitha, Kazuhiko Nakamura, et al.. (2011). Elevated Transcription Factor Specificity Protein 1 in Autistic Brains Alters the Expression of Autism Candidate Genes. Biological Psychiatry. 71(5). 410–418. 39 indexed citations

14.

Suda, Shiro, Keiko Iwata, Yosuke Kameno, et al.. (2011). Decreased expression of axon-guidance receptors in the anterior cingulate cortex in autism. Molecular Autism. 2(1). 14–14. 73 indexed citations

15.

Iwata, Keiko, Hideo Matsuzaki, Takayuki Manabe, & Norio Mori. (2011). Altering the expression balance of hnRNP C1 and C2 changes the expression of myelination-related genes. Psychiatry Research. 190(2-3). 364–366. 12 indexed citations

16.

Thanseem, Ismail, Kazuhiko Nakamura, Ayyappan Anitha, et al.. (2011). Association of Transcription Factor Gene LMX1B with Autism. PLoS ONE. 6(8). e23738–e23738. 7 indexed citations

17.

Suzuki, Katsuaki, Kazuhiko Nakamura, Taishi Miyachi, et al.. (2010). Decreased serum levels of adiponectin in subjects with autism. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 34(3). 455–458. 33 indexed citations

18.

Iwata, Yasuhide, Kazuo Yamada, Yoshimi Iwayama, et al.. (2010). Failure to confirm genetic association of the FXYD6 gene with schizophrenia: The Japanese population and meta‐analysis. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 153B(6). 1221–1227. 7 indexed citations

19.

Miyachi, Taishi, Hideo Matsuzaki, Keiko Iwata, et al.. (2009). Serum levels of platelet-derived growth factor BB homodimers are increased in male children with autism. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 34(1). 154–158. 32 indexed citations

20.

Ikeda, Tadasu & Keiko Iwata. (2003). Enhanced adrenergic mechanisms in glucose output from the kidney of diabetic rats. Metabolism. 52(4). 472–475. 3 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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