Taiji Ito

1.1k total citations
18 papers, 929 citations indexed

About

Taiji Ito is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Taiji Ito has authored 18 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Genetics. Recurrent topics in Taiji Ito's work include Chromatin Remodeling and Cancer (8 papers), interferon and immune responses (5 papers) and Genomics and Chromatin Dynamics (4 papers). Taiji Ito is often cited by papers focused on Chromatin Remodeling and Cancer (8 papers), interferon and immune responses (5 papers) and Genomics and Chromatin Dynamics (4 papers). Taiji Ito collaborates with scholars based in Japan, United Kingdom and France. Taiji Ito's co-authors include Hideo Iba, Taketoshi Mizutani, Nobutake Yamamichi, Shigeru Minoguchi, Shuji Fujita, Kouhei Sakurai, Motoyasu Ui, Masao Murakami, Hirotaka Watanabe and Mai Yamauchi and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Oncogene.

In The Last Decade

Taiji Ito

18 papers receiving 917 citations

Peers

Countries citing papers authored by Taiji Ito

Since Specialization

Citations

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

Fields of papers citing papers by Taiji Ito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taiji Ito

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Identification of a Novel Protein Binding to the Endocrine Disruptor Nonylphenol 2015 ·Nippon Eiyo Shokuryo Gakkaishi ·Taiji Ito, Shunsuke Yamazaki, (unknown), (unknown), Seiichi Oyadomari	1
2	Prevalence of Sjögren's syndrome with dementia in a memory clinic 2012 ·Journal of the Neurological Sciences ·Kenji Yoshikawa, (unknown), (unknown), (unknown), Yoshiomi Shimizu, (unknown), Taiji Ito, Ryuzo Fukunaga	19
3	Case reports of unexpected suicides in patients within six months after stroke. 2011 ·PubMed ·Masahiro Katayama, Hiroaki Naritomi, (unknown), (unknown), (unknown), (unknown), Hiroki Kato, Makoto Kinoshita, Taiji Ito, (unknown), Yohei Takenobu, Manabu Watanabe, Ryuzo Fukunaga, Akihiko Taguchi, (unknown), (unknown), Derk Krieger	5
4	Requiem Protein Links RelB/p52 and the Brm-type SWI/SNF Complex in a Noncanonical NF-κB Pathway 2010 ·Journal of Biological Chemistry ·(unknown), Aya Ishizaka, Hirotaka Watanabe, Taiji Ito, Shun Iida, Takeshi Haraguchi, Taketoshi Mizutani, Tomonori Izumi, Toshiaki Isobe, Taishin Akiyama, Jun‐ichiro Inoue, Hideo Iba	43
5	miR-21 Gene Expression Triggered by AP-1 Is Sustained through a Double-Negative Feedback Mechanism 2008 ·Journal of Molecular Biology ·Shuji Fujita, Taiji Ito, Taketoshi Mizutani, Shigeru Minoguchi, Nobutake Yamamichi, Kouhei Sakurai, Hideo Iba	361
6	Brm transactivates the telomerase reverse transcriptase (TERT) gene and modulates the splicing patterns of its transcripts in concert with p54nrb 2008 ·Biochemical Journal ·Taiji Ito, Hirotaka Watanabe, Nobutake Yamamichi, Shunsuke Kondo, (unknown), Takeshi Haraguchi, Taketoshi Mizutani, Kouhei Sakurai, Shuji Fujita, Tomonori Izumi, Toshiaki Isobe, Hideo Iba	35
7	SiRNAs do not induce RNA‐dependent transcriptional silencing of retrovirus in human cells 2007 ·FEBS Letters ·Takeshi Haraguchi, Taketoshi Mizutani, Nobutake Yamamichi, Taiji Ito, Shigeru Minoguchi, Hideo Iba	15
8	The Brm gene suppressed at the post-transcriptional level in various human cell lines is inducible by transient HDAC inhibitor treatment, which exhibits antioncogenic potential 2005 ·Oncogene ·Nobutake Yamamichi, (unknown), Taketoshi Mizutani, Hirotaka Watanabe, Shigeru Minoguchi, Nao Kobayashi, Satoko Kimura, Taiji Ito, Naohisa Yahagi, Masao Ichinose, Masao Omata, Hideo Iba	87
9	Bruton’s tyrosine kinase (Btk) enhances transcriptional co‐activation activity of BAM11, a Btk‐associated molecule of a subunit of SWI/SNF complexes 2004 ·International Immunology ·Masayuki Hirano, Yuji Kikuchi, Sazuku Nisitani, (unknown), Atsushi Satoh, Taiji Ito, Hideo Iba, Kiyoshi Takatsu	18
10	SW13 Cells Can Transition between Two Distinct Subtypes by Switching Expression of BRG1 andBrm Genes at the Post-transcriptional Level 2003 ·Journal of Biological Chemistry ·(unknown), Taiji Ito, Taketoshi Mizutani, Nobutake Yamamichi, Hirotaka Watanabe, Hideo Iba	33
11	SWI/SNF chromatin remodelling complex and retroviral gene silencing 2003 ·Reviews in Medical Virology ·Hideo Iba, Taketoshi Mizutani, Taiji Ito	24
12	Introduction of wild-type patched gene suppresses the oncogenic potential of human squamous cell carcinoma cell lines including A431 2002 ·Oncogene ·Chika Koike, Taketoshi Mizutani, Taiji Ito, Yasuhito Shimizu, Nobutake Yamamichi, Takashi Kameda, (unknown), Naoya Kitamura, Tetsuji Okamoto, Hideo Iba	30
13	Maintenance of Integrated Proviral Gene Expression Requires Brm, a Catalytic Subunit of SWI/SNF Complex 2002 ·Journal of Biological Chemistry ·Taketoshi Mizutani, Taiji Ito, (unknown), Nobutake Yamamichi, Akiko Watanabe, Hideo Iba	32
14	Identification of SWI·SNF Complex Subunit BAF60a as a Determinant of the Transactivation Potential of Fos/Jun Dimers 2001 ·Journal of Biological Chemistry ·Taiji Ito, Mai Yamauchi, (unknown), Nobutake Yamamichi, Taketoshi Mizutani, Motoyasu Ui, Masao Murakami, Hideo Iba	121
15	Endogenous AP-1 Levels Necessary for Oncogenic Activity Are Higher Than Those Sufficient to Support Normal Growth 2000 ·Biochemical and Biophysical Research Communications ·Motoyasu Ui, Taketoshi Mizutani, (unknown), Tohru Arai, Taiji Ito, Masao Murakami, Chika Koike, Tatsuo Watanabe, Kentaro Yoshimatsu, Hideo Iba	16
16	A New System for Stringent, High-Titer Vesicular Stomatitis Virus G Protein-Pseudotyped Retrovirus Vector Induction by Introduction of Cre Recombinase into Stable Prepackaging Cell Lines 1998 ·Journal of Virology ·Tohru Arai, Kazuyuki Matsumoto, K. Saitoh, Motoyasu Ui, Taiji Ito, Masao Murakami, Yumi Kanegae, Izumu Saito, François–Loïc Cosset, Yasuhiro Takeuchi, Hideo Iba	52
17	Biochemical and functional analysis of highly phosphorylated forms of c‐Jun protein 1998 ·FEBS Letters ·Motoyasu Ui, (unknown), Taiji Ito, Masao Murakami, Kenji Okazaki, (unknown), Toshitaka Sato, Hideo Iba	15
18	Two Proteins Translated by Alternative Usage of Initiation Codons in mRNA Encoding a JunD Transcriptional Regulator 1998 ·Biochemical and Biophysical Research Communications ·Kenji Okazaki, Taiji Ito, Motoyasu Ui, Tatsuo Watanabe, Kentaro Yoshimatsu, Hideo Iba	22

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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