Rintaro Saito

2.2k total citations
55 papers, 1.2k citations indexed

About

Rintaro Saito is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Rintaro Saito has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 5 papers in Nephrology and 5 papers in Genetics. Recurrent topics in Rintaro Saito's work include RNA and protein synthesis mechanisms (13 papers), Bioinformatics and Genomic Networks (10 papers) and Genomics and Phylogenetic Studies (8 papers). Rintaro Saito is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), Bioinformatics and Genomic Networks (10 papers) and Genomics and Phylogenetic Studies (8 papers). Rintaro Saito collaborates with scholars based in Japan, United States and Germany. Rintaro Saito's co-authors include Masaru Tomita, Nozomu Yachie, Kumar Sharma, Jessica Pham, Young‐Hyun You, Koji Numata, Akio Kanai, Yuki Okada, Yasushi Ishihama and Haruo Suzuki and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Rintaro Saito

54 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rintaro Saito Japan 20 783 161 124 109 104 55 1.2k
Jia Xu China 23 971 1.2× 91 0.6× 251 2.0× 99 0.9× 68 0.7× 71 1.5k
Cristina Al‐Khalili Szigyarto Sweden 19 1.4k 1.8× 116 0.7× 148 1.2× 97 0.9× 56 0.5× 31 1.8k
Damian Fermin United States 13 889 1.1× 92 0.6× 155 1.3× 133 1.2× 26 0.3× 28 1.3k
Christian H. Holland Germany 9 802 1.0× 304 1.9× 164 1.3× 67 0.6× 31 0.3× 14 1.3k
Marjo de Graauw Netherlands 16 652 0.8× 133 0.8× 176 1.4× 26 0.2× 78 0.8× 23 1.0k
Guilherme Viteri United Kingdom 6 646 0.8× 193 1.2× 161 1.3× 101 0.9× 17 0.2× 7 1.1k
Sean Eddy United States 22 800 1.0× 250 1.6× 324 2.6× 252 2.3× 282 2.7× 44 1.6k
Xiaohong Jing United States 14 515 0.7× 74 0.5× 244 2.0× 38 0.3× 53 0.5× 24 898
Li Shen China 17 842 1.1× 86 0.5× 301 2.4× 55 0.5× 35 0.3× 50 1.4k
Mary Ellen Cvijic United States 19 484 0.6× 285 1.8× 149 1.2× 67 0.6× 18 0.2× 59 1.4k

Countries citing papers authored by Rintaro Saito

Since Specialization
Citations

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

Fields of papers citing papers by Rintaro Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rintaro Saito

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

All Works

20 of 20 papers shown
1.
Yoshida, Akiko, Kosaku Murakami, Hirotake Tsukamoto, et al.. (2025). Anti-arthritic effects of polyunsaturated fatty acid–rich supplementation combined with selective soluble epoxide hydrolase inhibitors in a collagen-induced arthritis mouse model. Modern Rheumatology. 35(4). 665–676. 1 indexed citations
2.
Kaneko, Masahiro, et al.. (2025). All‐In‐One Magnetic Nanoparticles for Thermo‐Immunotherapy of Malignant Melanoma. Advanced Healthcare Materials. 14(20). e2500260–e2500260.
3.
Tsuji, Hideaki, et al.. (2024). Significant association of HLA-A26 with uveitis and gastrointestinal involvement in patients with Behçet’s disease in a multicentre study. Modern Rheumatology. 34(6). 1221–1225. 2 indexed citations
4.
Imaizumi, Takahiro, Manabu Hishida, Shin‐ichi Akiyama, et al.. (2024). Plasma Metabolite Profiles Between In-Center Daytime Extended-Hours and Conventional Hemodialysis. Kidney360. 6(3). 420–431. 1 indexed citations
5.
Nomura, Miyuki, Tomoyoshi Soga, Rintaro Saito, et al.. (2024). FDX2, an iron-sulfur cluster assembly factor, is essential to prevent cellular senescence, apoptosis or ferroptosis of ovarian cancer cells. Journal of Biological Chemistry. 300(9). 107678–107678. 8 indexed citations
6.
Saito, Rintaro, Akiyoshi Hirayama, Satsuki Ikeda, et al.. (2021). Urinary Metabolome Analyses of Patients with Acute Kidney Injury Using Capillary Electrophoresis-Mass Spectrometry. Metabolites. 11(10). 671–671. 8 indexed citations
7.
8.
Miyazaki, Masaki, Kazuko Miyazaki, Kenian Chen, et al.. (2017). The E-Id Protein Axis Specifies Adaptive Lymphoid Cell Identity and Suppresses Thymic Innate Lymphoid Cell Development. Immunity. 46(5). 818–834.e4. 75 indexed citations
9.
10.
Watanabe, Yutaka, Koji Numata, Rintaro Saito, et al.. (2010). Genome-wide analysis of expression modes and DNA methylation status at sense–antisense transcript loci in mouse. Genomics. 96(6). 333–341. 12 indexed citations
11.
Numata, Koji, Yuki Okada, Rintaro Saito, et al.. (2009). Identification of novel endogenous antisense transcripts by DNA microarray analysis targeting complementary strand of annotated genes. BMC Genomics. 10(1). 392–392. 12 indexed citations
12.
Okada, Yuki, Colleen Tashiro, Koji Numata, et al.. (2008). Comparative expression analysis uncovers novel features of endogenous antisense transcription. Human Molecular Genetics. 17(11). 1631–1640. 41 indexed citations
13.
Yachie, Nozomu, et al.. (2007). Bioinformatic analysis of post‐transcriptional regulation by uORF in human and mouse. FEBS Letters. 581(22). 4184–4188. 57 indexed citations
14.
Saito, Rintaro, et al.. (2006). Inferring rules of Escherichia coli translational efficiency using an artificial neural network. Biosystems. 90(2). 414–420. 4 indexed citations
15.
Yano, Yoshihisa, Rintaro Saito, Noriyuki Yoshida, et al.. (2004). A new role for expressed pseudogenes as ncRNA: regulation of mRNA stability of its homologous coding gene. Journal of Molecular Medicine. 82(7). 414–22. 53 indexed citations
16.
Yachie, Nozomu, Koji Numata, Rintaro Saito, Akio Kanai, & Masaru Tomita. (2003). Identification of Non-Coding RNAs in the Escherichia coli Genome Using Sequence Specificity Index (SSI). Proceedings Genome Informatics Workshop/Genome informatics. 14. 448–449. 1 indexed citations
17.
Suzuki, Harukazu, Rintaro Saito, Mutsumi Kanamori, et al.. (2003). The Mammalian Protein–Protein Interaction Database and Its Viewing System That Is Linked to the Main FANTOM2 Viewer. Genome Research. 13(6b). 1534–1541. 18 indexed citations
18.
Suzuki, Harukazu, Yoshifumi Fukunishi, Rintaro Saito, et al.. (2001). Protein–Protein Interaction Panel Using Mouse Full-Length cDNAs. Genome Research. 11(10). 1758–1765. 86 indexed citations
19.
Saito, Rintaro, et al.. (2000). Computer analysis of potential stem structures of rRNA operons in various procaryote genomes. Gene. 259(1-2). 217–222. 6 indexed citations
20.
Coel, Marc N., et al.. (1993). Use of Magnetic Resonance Imaging in the Diagnosis of Takayasu's Arteritis During Pregnancy: A Case Report. American Journal of Perinatology. 10(2). 126–129. 5 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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