Keita Miyoshi

4.2k total citations · 2 hit papers
35 papers, 3.2k citations indexed

About

Keita Miyoshi is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Keita Miyoshi has authored 35 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Plant Science. Recurrent topics in Keita Miyoshi's work include RNA Research and Splicing (18 papers), RNA modifications and cancer (11 papers) and RNA and protein synthesis mechanisms (9 papers). Keita Miyoshi is often cited by papers focused on RNA Research and Splicing (18 papers), RNA modifications and cancer (11 papers) and RNA and protein synthesis mechanisms (9 papers). Keita Miyoshi collaborates with scholars based in Japan, United States and Italy. Keita Miyoshi's co-authors include Haruhiko Siomi, Mikiko C. Siomi, Kazumichi M. Nishida, Kuniaki Saito, Yoshinori Kawamura, Lalith Gunawardane, Tomohiro Miyoshi, Tomoko Mori, Keiko Mizuta and Lynne E. Maquat and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Keita Miyoshi

35 papers receiving 3.2k citations

Hit Papers

A Slicer-Mediated Mechanism for Repeat-Associated siRNA 5... 2006 2026 2012 2019 2007 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keita Miyoshi Japan 21 2.7k 1.6k 644 204 154 35 3.2k
Vasily V. Vagin United States 13 2.9k 1.1× 1.9k 1.2× 617 1.0× 359 1.8× 134 0.9× 15 3.3k
Megha Ghildiyal United States 9 2.6k 1.0× 1.1k 0.7× 1.2k 1.9× 203 1.0× 175 1.1× 9 3.3k
Carla Klattenhoff United States 11 2.5k 0.9× 1.1k 0.7× 1000 1.6× 247 1.2× 113 0.7× 13 2.8k
Kazumichi M. Nishida Japan 14 2.3k 0.9× 1.9k 1.2× 257 0.4× 243 1.2× 84 0.5× 20 2.5k
Dubravka Pezić United States 9 2.2k 0.8× 1.4k 0.9× 436 0.7× 355 1.7× 69 0.4× 10 2.5k
Katalin Fejes Tóth United States 17 2.7k 1.0× 2.0k 1.2× 477 0.7× 420 2.1× 78 0.5× 21 3.1k
В. А. Гвоздев Russia 29 3.6k 1.3× 2.7k 1.7× 540 0.8× 678 3.3× 161 1.0× 146 4.2k
Jonathan Houseley United Kingdom 23 3.5k 1.3× 457 0.3× 600 0.9× 275 1.3× 130 0.8× 43 3.9k
Ariel Bazzini United States 19 2.4k 0.9× 610 0.4× 680 1.1× 217 1.1× 114 0.7× 35 3.0k

Countries citing papers authored by Keita Miyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Keita Miyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keita Miyoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Keita Miyoshi. A scholar is included among the top collaborators of Keita Miyoshi 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 Keita Miyoshi. Keita Miyoshi 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.
Inagaki, Sachi, et al.. (2024). Osiris gene family defines the cuticle nanopatterns of Drosophila. Genetics. 227(2). 5 indexed citations
2.
Miyoshi, Keita, Shu Kondo, Naoki Tani, et al.. (2024). Mettl1-dependent m7G tRNA modification is essential for maintaining spermatogenesis and fertility in Drosophila melanogaster. Nature Communications. 15(1). 8147–8147. 8 indexed citations
3.
Hamada, Keisuke, Kohei Hamanaka, Keita Miyoshi, et al.. (2023). Novel missense variants cause intermediate phenotypes in the phenotypic spectrum of SLC5A6-related disorders. Journal of Human Genetics. 69(2). 69–77. 5 indexed citations
4.
Miyoshi, Keita, Hikari Yoshitane, Yoshitaka Fukada, et al.. (2022). Lint‐O cooperates with L(3)mbt in target gene suppression to maintain homeostasis in fly ovary and brain. EMBO Reports. 23(10). e53813–e53813. 6 indexed citations
5.
Hamanaka, Kohei, Keita Miyoshi, Jiahui Sun, et al.. (2022). Amelioration of a neurodevelopmental disorder by carbamazepine in a case having a gain-of-function GRIA3 variant. Human Genetics. 141(2). 283–293. 2 indexed citations
6.
Lucas, Bronwyn A., Lily Shiue, Hana Cho, et al.. (2018). Evidence for convergent evolution of SINE-directed Staufen-mediated mRNA decay. Proceedings of the National Academy of Sciences. 115(5). 968–973. 36 indexed citations
7.
Kurosaki, Tatsuaki, Keita Miyoshi, Jason R. Myers, & Lynne E. Maquat. (2018). NMD-degradome sequencing reveals ribosome-bound intermediates with 3′-end non-templated nucleotides. Nature Structural & Molecular Biology. 25(10). 940–950. 31 indexed citations
8.
Cho, Hana, Xavier Rambout, Michael L. Gleghorn, et al.. (2018). Transcriptional coactivator PGC-1α contains a novel CBP80-binding motif that orchestrates efficient target gene expression. Genes & Development. 32(7-8). 555–567. 20 indexed citations
9.
Elbarbary, Reyad A., et al.. (2017). UPF1 helicase promotes TSN-mediated miRNA decay. Genes & Development. 31(14). 1483–1493. 28 indexed citations
10.
Elbarbary, Reyad A., Keita Miyoshi, Jason R. Myers, et al.. (2017). Tudor-SN–mediated endonucleolytic decay of human cell microRNAs promotes G 1 /S phase transition. Science. 356(6340). 859–862. 72 indexed citations
11.
Nishida, Kazumichi M., et al.. (2013). Roles of R2D2, a Cytoplasmic D2 Body Component, in the Endogenous siRNA Pathway in Drosophila. Molecular Cell. 49(4). 680–691. 52 indexed citations
12.
Ueki, Arisa, Takatsune Shimizu, Kenta Masuda, et al.. (2012). Up-Regulation of Imp3 Confers In Vivo Tumorigenicity on Murine Osteosarcoma Cells. PLoS ONE. 7(11). e50621–e50621. 22 indexed citations
13.
Miyoshi, Keita, Tomohiro Miyoshi, Julia Hartig, Haruhiko Siomi, & Mikiko C. Siomi. (2010). Molecular mechanisms that funnel RNA precursors into endogenous small-interfering RNA and microRNA biogenesis pathways in Drosophila. RNA. 16(3). 506–515. 83 indexed citations
14.
Miyoshi, Keita, Tomohiro Miyoshi, & Haruhiko Siomi. (2010). Many ways to generate microRNA-like small RNAs: non-canonical pathways for microRNA production. Molecular Genetics and Genomics. 284(2). 95–103. 188 indexed citations
15.
Miyoshi, Keita, et al.. (2008). In vitro RNA Cleavage Assay for Argonaute-Family Proteins. Methods in molecular biology. 442. 29–43. 27 indexed citations
16.
Saika, Hiroaki, Masanori Okamoto, Keita Miyoshi, et al.. (2006). Ethylene Promotes Submergence-Induced Expression of OsABA8ox1, a Gene that Encodes ABA 8'-Hydroxylase in Rice. Plant and Cell Physiology. 48(2). 287–298. 208 indexed citations
17.
Miyoshi, Keita, et al.. (2005). Slicer function of Drosophila Argonautes and its involvement in RISC formation. Genes & Development. 19(23). 2837–2848. 318 indexed citations
18.
Nonomura, Ken-Ichi, Michihiko Nakano, Kazumasa Murata, et al.. (2004). An insertional mutation in the rice PAIR2 gene, the ortholog of Arabidopsis ASY1, results in a defect in homologous chromosome pairing during meiosis. Molecular Genetics and Genomics. 271(2). 121–129. 86 indexed citations
20.
Miyoshi, Keita, Hideji Yoshida, Yasushi Maki, et al.. (2002). Normal Assembly of 60 S Ribosomal Subunits Is Required for the Signaling in Response to a Secretory Defect in Saccharomyces cerevisiae. Journal of Biological Chemistry. 277(21). 18334–18339. 43 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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