Takahiko Chimura

519 total citations
10 papers, 428 citations indexed

About

Takahiko Chimura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Takahiko Chimura has authored 10 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Immunology. Recurrent topics in Takahiko Chimura's work include Neuroscience and Neuropharmacology Research (3 papers), Genomics and Chromatin Dynamics (3 papers) and RNA and protein synthesis mechanisms (2 papers). Takahiko Chimura is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Genomics and Chromatin Dynamics (3 papers) and RNA and protein synthesis mechanisms (2 papers). Takahiko Chimura collaborates with scholars based in Japan, United States and United Kingdom. Takahiko Chimura's co-authors include Masami Horikoshi, Takashi Umehara, Mariko Yamaki, Thomas Launey, Takashi Kuzuhara, Natsuko Ichikawa, Nobuaki Yoshida, Tetsuya Tatsukawa, Kazuhiko Yamaguchi and Hiroyoshi Miyakawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Immunology.

In The Last Decade

Takahiko Chimura

10 papers receiving 428 citations

Peers

Takahiko Chimura
Loreto Carvallo United States
Simon E. Tröder Germany
Christian Schwindling Germany
Akbar M. Siddiqui United States
Nathan H. Blewett United States
Stacey A. Rimkus United States
Stephen A. Rose United Kingdom
Takeyasu Tomioka Japan
Alberto de Luis Spain
Aamir S. Mukadam United Kingdom
Loreto Carvallo United States
Takahiko Chimura
Citations per year, relative to Takahiko Chimura Takahiko Chimura (= 1×) peers Loreto Carvallo

Countries citing papers authored by Takahiko Chimura

Since Specialization
Citations

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

Fields of papers citing papers by Takahiko Chimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahiko Chimura

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

All Works

10 of 10 papers shown
1.
Sato, Ryota, Akihisa Kato, Takahiko Chimura, et al.. (2018). Combating herpesvirus encephalitis by potentiating a TLR3–mTORC2 axis. Nature Immunology. 19(10). 1071–1082. 58 indexed citations
2.
Chimura, Takahiko, Thomas Launey, & Nobuaki Yoshida. (2015). Calpain-Mediated Degradation of Drebrin by Excitotoxicity In vitro and In vivo. PLoS ONE. 10(4). e0125119–e0125119. 29 indexed citations
3.
Kratz, Anton, Pascal Béguin, Megumi Kaneko, et al.. (2014). Digital expression profiling of the compartmentalized translatome of Purkinje neurons. Genome Research. 24(8). 1396–1410. 42 indexed citations
4.
Chimura, Takahiko, Thomas Launey, & Masao Ito. (2011). Evolutionarily conserved bias of amino-acid usage refines the definition of PDZ-binding motif. BMC Genomics. 12(1). 300–300. 14 indexed citations
5.
Hirono, Moritoshi, Wataru Matsunaga, Takahiko Chimura, & Kenta Obata. (2008). Developmental enhancement of α2-adrenoceptor-mediated suppression of inhibitory synaptic transmission onto mouse cerebellar Purkinje cells. Neuroscience. 156(1). 143–154. 17 indexed citations
6.
Jin, Chunyuan, Kohsuke Kato, Takahiko Chimura, et al.. (2006). Regulation of histone acetylation and nucleosome assembly by transcription factor JDP2. Nature Structural & Molecular Biology. 13(4). 331–338. 64 indexed citations
7.
Tatsukawa, Tetsuya, Takahiko Chimura, Hiroyoshi Miyakawa, & Kazuhiko Yamaguchi. (2006). Involvement of Basal Protein Kinase C and Extracellular Signal-Regulated Kinase 1/2 Activities in Constitutive Internalization of AMPA Receptors in Cerebellar Purkinje Cells. Journal of Neuroscience. 26(18). 4820–4825. 21 indexed citations
8.
Umehara, Takashi, Takahiko Chimura, Natsuko Ichikawa, & Masami Horikoshi. (2002). Polyanionic stretch‐deleted histone chaperone cia1/Asf1p is functional both in vivo and in vitro. Genes to Cells. 7(1). 59–73. 56 indexed citations
9.
Chimura, Takahiko, Takashi Kuzuhara, & Masami Horikoshi. (2002). Identification and characterization of CIA/ASF1 as an interactor of bromodomains associated with TFIID. Proceedings of the National Academy of Sciences. 99(14). 9334–9339. 50 indexed citations
10.
Yamaki, Mariko, Takashi Umehara, Takahiko Chimura, & Masami Horikoshi. (2001). Cell death with predominant apoptotic features in Saccharomyces cerevisiae mediated by deletion of the histone chaperone ASF1/CIA1. Genes to Cells. 6(12). 1043–1054. 77 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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2026