Fumichika Nishimura

871 total citations
9 papers, 193 citations indexed

About

Fumichika Nishimura is a scholar working on Molecular Biology, Genetics and Clinical Psychology. According to data from OpenAlex, Fumichika Nishimura has authored 9 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Clinical Psychology. Recurrent topics in Fumichika Nishimura's work include Genetics and Neurodevelopmental Disorders (2 papers), Epigenetics and DNA Methylation (2 papers) and Autism Spectrum Disorder Research (2 papers). Fumichika Nishimura is often cited by papers focused on Genetics and Neurodevelopmental Disorders (2 papers), Epigenetics and DNA Methylation (2 papers) and Autism Spectrum Disorder Research (2 papers). Fumichika Nishimura collaborates with scholars based in Japan, Nepal and United Kingdom. Fumichika Nishimura's co-authors include Kiyoto Kasai, Chihiro Kakiuchi, Kazuya Iwamoto, Akane Yoshikawa, Yoshiya Kawamura, Tadafumi Kato, Miki Bundo, Tempei Ikegame, Mamoru Tochigi and Tsukasa Sasaki and has published in prestigious journals such as PLoS ONE, European Neuropsychopharmacology and Neuroscience Research.

In The Last Decade

Fumichika Nishimura

9 papers receiving 191 citations

Peers

Fumichika Nishimura

MB

GENET

CN

CP

PMH

Chuan Jiao China

Vania Januar Australia

Tingyun Jiang China

Anne Hedemand Denmark

Sumeet K. Sharma United States

Jiong Tao China

María de los Ángeles Robinson‐Agramonte Cuba

Anisha Bhanot United States

Eleanor M. Wigmore United Kingdom

Chuan Jiao China

Fumichika Nishimura

194 ×1.8

MB

55 ×0.9

GENET

28 ×0.6

CN

25 ×0.9

CP

25 ×0.9

PMH

Citations per year, relative to Fumichika Nishimura Fumichika Nishimura (= 1×) peers Chuan Jiao

Countries citing papers authored by Fumichika Nishimura

Since Specialization

Citations

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

Fields of papers citing papers by Fumichika Nishimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumichika Nishimura

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

All Works

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9 of 9 papers shown

1.

Ohi, Kazutaka, Takeshi Otowa, Mihoko Shimada, et al.. (2020). Shared transethnic genetic basis of panic disorder and psychiatric and related intermediate phenotypes. European Neuropsychopharmacology. 42. 87–96. 6 indexed citations

2.

Tanaka, Toshiko, Fumichika Nishimura, Chihiro Kakiuchi, et al.. (2019). Interactive effects of OXTR and GAD1 on envy-associated behaviors and neural responses. PLoS ONE. 14(1). e0210493–e0210493. 6 indexed citations

3.

Nishioka, M., Miki Bundo, Junko Ueda, et al.. (2018). Identification of somatic mutations in monozygotic twins discordant for psychiatric disorders. Schizophrenia. 4(1). 7–7. 19 indexed citations

4.

Sugawara, Hiroko, Y. Murata, Tempei Ikegame, et al.. (2018). DNA methylation analyses of the candidate genes identified by a methylome‐wide association study revealed common epigenetic alterations in schizophrenia and bipolar disorder. Psychiatry and Clinical Neurosciences. 72(4). 245–254. 22 indexed citations

5.

Yoshikawa, Akane, Fumichika Nishimura, Yosuke Eriguchi, et al.. (2018). Novel rare variations in genes that regulate developmental change in N-methyl-d-aspartate receptor in patients with schizophrenia. Human Genome Variation. 5(1). 17056–17056. 5 indexed citations

6.

Yoshikawa, Akane, Fumichika Nishimura, Yosuke Eriguchi, et al.. (2017). Mutations of the glycine cleavage system genes possibly affect the negative symptoms of schizophrenia through metabolomic profile changes. Psychiatry and Clinical Neurosciences. 72(3). 168–179. 5 indexed citations

7.

Tochigi, Mamoru, Hitoshi Kuwabara, Fumichika Nishimura, et al.. (2015). Analysis of SLITRK1 in Japanese patients with Tourette syndrome using a next-generation sequencer. Psychiatric Genetics. 25(6). 256–258. 12 indexed citations

8.

Ikegame, Tempei, Miki Bundo, Fumiko Sunaga, et al.. (2013). DNA methylation analysis of BDNF gene promoters in peripheral blood cells of schizophrenia patients. Neuroscience Research. 77(4). 208–214. 103 indexed citations

9.

Nishimura, Fumichika, Masanao Shibasaki, Kunio Ichikawa, Tadao Arinami, & Emiko Noguchi. (2006). Failure to Find an Association between CD14-159C/T Polymorphism and Asthma: A Family-based Association Test and Meta-analysis. Allergology International. 55(1). 55–58. 15 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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