Tomoichiro Miyoshi

1.4k total citations
35 papers, 1.0k citations indexed

About

Tomoichiro Miyoshi is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, Tomoichiro Miyoshi has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Physiology. Recurrent topics in Tomoichiro Miyoshi's work include DNA Repair Mechanisms (7 papers), Chromosomal and Genetic Variations (7 papers) and CRISPR and Genetic Engineering (6 papers). Tomoichiro Miyoshi is often cited by papers focused on DNA Repair Mechanisms (7 papers), Chromosomal and Genetic Variations (7 papers) and CRISPR and Genetic Engineering (6 papers). Tomoichiro Miyoshi collaborates with scholars based in Japan, United States and Austria. Tomoichiro Miyoshi's co-authors include Fuyuki Ishikawa, Junko Kanoh, Kunihiro Ohta, Kouji Hirota, Motoki Saito, Kazuto Kugou, Charles S. Hoffman, Takehiko Shibata, John V. Moran and Aurélien J. Doucet and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Tomoichiro Miyoshi

33 papers receiving 988 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomoichiro Miyoshi Japan	13	806	230	175	155	137	35	1.0k
Norihito Hayatsu Japan	11	558 0.7×	106 0.5×	77 0.4×	42 0.3×	318 2.3×	15	923
Sofia Francia Italy	14	1.2k 1.5×	103 0.4×	116 0.7×	253 1.6×	23 0.2×	20	1.3k
Henrik Spåhr Sweden	24	2.2k 2.7×	186 0.8×	74 0.4×	191 1.2×	58 0.4×	33	2.3k
Ilaria Chiodi Italy	15	877 1.1×	171 0.7×	122 0.7×	157 1.0×	29 0.2×	22	1.1k
Ilona Rafalska Germany	6	1.4k 1.8×	169 0.7×	45 0.3×	303 2.0×	79 0.6×	6	1.6k
Jean‐Yves Thuret France	15	843 1.0×	90 0.4×	179 1.0×	90 0.6×	80 0.6×	22	1.0k
Mateusz Wydro United Kingdom	13	904 1.1×	146 0.6×	31 0.2×	59 0.4×	103 0.8×	20	1.1k
Stephen H. Munroe United States	14	1.1k 1.4×	68 0.3×	45 0.3×	234 1.5×	83 0.6×	23	1.3k
Martin Del Castillo Velasco‐Herrera United Kingdom	9	925 1.1×	42 0.2×	93 0.5×	63 0.4×	71 0.5×	14	1.1k
Derek M. Pavelec United States	13	814 1.0×	200 0.9×	58 0.3×	149 1.0×	34 0.2×	23	1.1k

Countries citing papers authored by Tomoichiro Miyoshi

Since Specialization

Citations

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

Fields of papers citing papers by Tomoichiro Miyoshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoichiro Miyoshi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Iwasaki, Yuka W., et al.. (2025). Transposon–host arms race: a saga of genome evolution. Trends in Genetics. 41(5). 369–389. 8 indexed citations

Chong, Pin Fee, Kenji K. Kojima, Tomoichiro Miyoshi, et al.. (2024). Long-read sequencing identifies an SVA_D retrotransposon insertion deep within the intron of ATP7A as a novel cause of occipital horn syndrome. Journal of Medical Genetics. 61(10). 950–958. 1 indexed citations

Nishimori, Kei, et al.. (2024). Retrotransposon life cycle and its impacts on cellular responses. RNA Biology. 21(1). 1048–1064. 5 indexed citations

Ishikawa, Fuyuki, et al.. (2023). The interferon stimulated gene-encoded protein HELZ2 inhibits human LINE-1 retrotransposition and LINE-1 RNA-mediated type I interferon induction. Nature Communications. 14(1). 203–203. 16 indexed citations

Nakaoka, Hidenori, et al.. (2023). The CST complex facilitates cell survival under oxidative genotoxic stress. PLoS ONE. 18(8). e0289304–e0289304. 2 indexed citations

Yokoyama, Yuta, et al.. (2023). DHX36 maintains genomic integrity by unwinding G‐quadruplexes. Genes to Cells. 28(10). 694–708. 5 indexed citations

Nakaoka, Hidenori, et al.. (2021). Fission yeast Stn1 maintains stability of repetitive DNA at subtelomere and ribosomal DNA regions. Nucleic Acids Research. 49(18). 10465–10476. 3 indexed citations

Miyoshi, Tomoichiro, Takeshi Makino, & John V. Moran. (2019). Poly(ADP-Ribose) Polymerase 2 Recruits Replication Protein A to Sites of LINE-1 Integration to Facilitate Retrotransposition. Molecular Cell. 75(6). 1286–1298.e12. 30 indexed citations

Takemata, Naomichi, Arisa Oda, Takatomi Yamada, et al.. (2016). Local potentiation of stress-responsive genes by upstream noncoding transcription. Nucleic Acids Research. 44(11). 5174–5189. 30 indexed citations

10.

Kopera, Huira C., Diane A. Flasch, Mitsuhiro Nakamura, et al.. (2016). LEAP: L1 Element Amplification Protocol. Methods in molecular biology. 1400. 339–355. 12 indexed citations

11.

Doucet, Aurélien J., Jeremy E. Wilusz, Tomoichiro Miyoshi, Ying Liu, & John V. Moran. (2015). A 3′ Poly(A) Tract Is Required for LINE-1 Retrotransposition. Molecular Cell. 60(5). 728–741. 103 indexed citations

12.

Miyoshi, Tomoichiro, et al.. (2015). Optokinetic Nystagmus in Artificial Hemianopsy. Advances in oto-rhino-laryngology. 25. 202–207.

13.

Miyoshi, Tomoichiro, Masaru Ito, & Kunihiro Ohta. (2013). Spatiotemporal regulation of meiotic recombination by Liaisonin. PubMed. 3(1). 20–24. 9 indexed citations

14.

Miyoshi, Tomoichiro, Masaru Ito, Kazuto Kugou, et al.. (2012). A Central Coupler for Recombination Initiation Linking Chromosome Architecture to S Phase Checkpoint. Molecular Cell. 47(5). 722–733. 75 indexed citations

15.

Miyoshi, Tomoichiro, Junko Kanoh, & Fuyuki Ishikawa. (2009). Fission yeast Ku protein is required for recovery from DNA replication stress. Genes to Cells. 14(9). 1091–1103. 16 indexed citations

16.

Hirota, Kouji, Tomoichiro Miyoshi, Kazuto Kugou, et al.. (2008). Stepwise chromatin remodelling by a cascade of transcription initiation of non-coding RNAs. Nature. 456(7218). 130–134. 219 indexed citations

17.

Miyoshi, Tomoichiro, Ken-ichi Manabe, Nobuyuki Takahashi, et al.. (2005). Roles of Aquaporin-3 Water Channels in Volume-Regulatory Water Flow in a Human Epithelial Cell Line. The Journal of Membrane Biology. 208(1). 55–64. 19 indexed citations

18.

Miyoshi, Tomoichiro, Mahito Sadaie, Junko Kanoh, & Fuyuki Ishikawa. (2003). Telomeric DNA Ends Are Essential for the Localization of Ku at Telomeres in Fission Yeast. Journal of Biological Chemistry. 278(3). 1924–1931. 26 indexed citations

19.

Uchino, Akira, et al.. (1989). [MR imaging of the brain in Wilson's disease].. PubMed. 34(11). 1413–6. 5 indexed citations

20.

Miyoshi, Tomoichiro & C.R. Pfaltz. (1973). Studies on the Correlation between Optokinetic Stimulus and Induced Nystagmus. ORL. 35(6). 350–362. 7 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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