Toutai Mituyama

2.7k total citations
22 papers, 2.0k citations indexed

About

Toutai Mituyama is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Toutai Mituyama has authored 22 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Plant Science. Recurrent topics in Toutai Mituyama's work include RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (12 papers) and Genomics and Phylogenetic Studies (7 papers). Toutai Mituyama is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (12 papers) and Genomics and Phylogenetic Studies (7 papers). Toutai Mituyama collaborates with scholars based in Japan, China and United States. Toutai Mituyama's co-authors include Kiyoshi Asai, Kengo Sato, Michiaki Hamada, Miho Sano, Tetsuro Hirose, Y. Sasaki, Takashi Ideue, Haruhiko Siomi, Mikiko C. Siomi and Hisanori Kiryu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Toutai Mituyama

22 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toutai Mituyama Japan 13 1.8k 661 525 172 71 22 2.0k
Sylvia E. J. Fischer United States 16 2.3k 1.2× 859 1.3× 614 1.2× 309 1.8× 90 1.3× 27 2.5k
Ariel Bazzini United States 19 2.4k 1.3× 680 1.0× 610 1.2× 217 1.3× 114 1.6× 35 3.0k
Carolyn G. Marsden United States 10 2.0k 1.1× 1.1k 1.6× 301 0.6× 150 0.9× 138 1.9× 13 2.3k
Andrea Tanzer Austria 24 2.0k 1.1× 1.2k 1.8× 319 0.6× 234 1.4× 134 1.9× 29 2.4k
Martin Anger Czechia 19 2.1k 1.1× 461 0.7× 605 1.2× 382 2.2× 84 1.2× 43 2.6k
Astrid D. Haase United States 14 2.2k 1.2× 1.0k 1.5× 536 1.0× 129 0.8× 131 1.8× 29 2.4k
David P. Bartel United States 7 1.5k 0.8× 1.1k 1.6× 289 0.6× 113 0.7× 125 1.8× 8 1.8k
Klaus Förstemann Germany 20 1.7k 0.9× 539 0.8× 424 0.8× 117 0.7× 140 2.0× 37 1.9k
Pamela Russell United States 9 1.6k 0.9× 748 1.1× 194 0.4× 130 0.8× 50 0.7× 11 1.8k
David Langenberger Germany 16 1.4k 0.8× 1.1k 1.7× 199 0.4× 114 0.7× 90 1.3× 21 1.7k

Countries citing papers authored by Toutai Mituyama

Since Specialization
Citations

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

Fields of papers citing papers by Toutai Mituyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toutai Mituyama

This figure shows the co-authorship network connecting the top 25 collaborators of Toutai Mituyama. A scholar is included among the top collaborators of Toutai Mituyama 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 Toutai Mituyama. Toutai Mituyama 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.
Saitō, Yutaka, Chie Sugimoto, Toutai Mituyama, & Hiroshi Wakao. (2017). Epigenetic silencing of V(D)J recombination is a major determinant for selective differentiation of mucosal-associated invariant t cells from induced pluripotent stem cells. PLoS ONE. 12(3). e0174699–e0174699. 6 indexed citations
2.
3.
Takada, Hitomi, Yutaka Saitō, Toutai Mituyama, et al.. (2014). Methylome, transcriptome, and PPARγ cistrome analyses reveal two epigenetic transitions in fat cells. Epigenetics. 9(9). 1195–1206. 10 indexed citations
4.
Saitō, Yutaka, Junko Tsuji, & Toutai Mituyama. (2014). Bisulfighter: accurate detection of methylated cytosines and differentially methylated regions. Nucleic Acids Research. 42(6). e45–e45. 54 indexed citations
5.
Terai, Goro, et al.. (2012). Prediction of Conserved Precursors of miRNAs and Their Mature Forms by Integrating Position-Specific Structural Features. PLoS ONE. 7(9). e44314–e44314. 12 indexed citations
6.
Mituyama, Toutai, et al.. (2010). Biogenesis pathways of piRNAs loaded onto AGO3 in the Drosophila testis. RNA. 16(12). 2503–2515. 94 indexed citations
7.
Sato, Kengo, Michiaki Hamada, Toutai Mituyama, Kiyoshi Asai, & Yasubumi Sakakibara. (2010). A NON-PARAMETRIC BAYESIAN APPROACH FOR PREDICTING RNA SECONDARY STRUCTURES. Journal of Bioinformatics and Computational Biology. 8(4). 727–742. 10 indexed citations
8.
Hamada, Michiaki, Toutai Mituyama, & Kiyoshi Asai. (2009). Large Scale Similarity Search for Locally stable Secondary Structures among RNA Sequences (IPSJ Transactions on Bioinformatics Vol.2). 2008(2). 36–46. 1 indexed citations
9.
Hamada, Michiaki, Kengo Sato, Hisanori Kiryu, Toutai Mituyama, & Kiyoshi Asai. (2009). CentroidAlign: fast and accurate aligner for structured RNAs by maximizing expected sum-of-pairs score. Bioinformatics. 25(24). 3236–3243. 35 indexed citations
10.
Sato, Kengo, Michiaki Hamada, Kiyoshi Asai, & Toutai Mituyama. (2009). CENTROIDFOLD: a web server for RNA secondary structure prediction. Nucleic Acids Research. 37(Web Server). W277–W280. 231 indexed citations
11.
Sasaki, Y., Takashi Ideue, Miho Sano, Toutai Mituyama, & Tetsuro Hirose. (2009). MENε/β noncoding RNAs are essential for structural integrity of nuclear paraspeckles. Proceedings of the National Academy of Sciences. 106(8). 2525–2530. 493 indexed citations
12.
Terai, Goro, et al.. (2009). Discovery of short pseudogenes derived from messenger RNAs. Nucleic Acids Research. 38(4). 1163–1171. 11 indexed citations
13.
Saito, Kuniaki, Sachi Inagaki, Toutai Mituyama, et al.. (2009). A regulatory circuit for piwi by the large Maf gene traffic jam in Drosophila. Nature. 461(7268). 1296–1299. 345 indexed citations
14.
Nishida, Kazumichi M., Tomoko Okada, Takeshi Kawamura, et al.. (2009). Functional involvement of Tudor and dPRMT5 in the piRNA processing pathway in Drosophila germlines. The EMBO Journal. 28(24). 3820–3831. 161 indexed citations
15.
Hamada, Michiaki, Kengo Sato, Hisanori Kiryu, Toutai Mituyama, & Kiyoshi Asai. (2009). Predictions of RNA secondary structure by combining homologous sequence information. Bioinformatics. 25(12). i330–i338. 37 indexed citations
16.
Hamada, Michiaki, Hisanori Kiryu, Kengo Sato, Toutai Mituyama, & Kiyoshi Asai. (2008). Prediction of RNA secondary structure using generalized centroid estimators. Bioinformatics. 25(4). 465–473. 177 indexed citations
17.
Mituyama, Toutai, Kaori Yamada, Eiji Hattori, et al.. (2008). The Functional RNA Database 3.0: databases to support mining and annotation of functional RNAs. Nucleic Acids Research. 37(Database). D89–D92. 103 indexed citations
18.
Mituyama, Toutai, et al.. (2008). Characterization of endogenous human Argonautes and their miRNA partners in RNA silencing. Proceedings of the National Academy of Sciences. 105(23). 7964–7969. 193 indexed citations
19.
Sato, Kengo, Toutai Mituyama, Kiyoshi Asai, & Yasubumi Sakakibara. (2008). Directed acyclic graph kernels for structural RNA analysis. BMC Bioinformatics. 9(1). 318–318. 9 indexed citations
20.
Asai, Kiyoshi, Michiaki Hamada, Yusuke Tabei, et al.. (2008). Software.ncrna.org: web servers for analyses of RNA sequences. Nucleic Acids Research. 36(Web Server). W75–W78. 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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