Yusuke Echigoya

1.4k total citations
33 papers, 1.0k citations indexed

About

Yusuke Echigoya is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Yusuke Echigoya has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Genetics. Recurrent topics in Yusuke Echigoya's work include Muscle Physiology and Disorders (24 papers), CRISPR and Genetic Engineering (8 papers) and Neurogenetic and Muscular Disorders Research (6 papers). Yusuke Echigoya is often cited by papers focused on Muscle Physiology and Disorders (24 papers), CRISPR and Genetic Engineering (8 papers) and Neurogenetic and Muscular Disorders Research (6 papers). Yusuke Echigoya collaborates with scholars based in Japan, Canada and United States. Yusuke Echigoya's co-authors include Toshifumi Yokota, Toshifumi Yokota, Rika Maruyama, Akinori Nakamura, Kenji Rowel Q. Lim, Yoshitsugu Aoki, Shin’ichi Takeda, William Duddy, Tetsuya Nagata and So‐ichiro Fukada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Yusuke Echigoya

32 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yusuke Echigoya Japan 20 960 236 196 185 132 33 1.0k
Jessica C. de Greef Netherlands 15 897 0.9× 205 0.9× 130 0.7× 174 0.9× 76 0.6× 30 998
Danielle A. Griffin United States 16 908 0.9× 207 0.9× 423 2.2× 255 1.4× 80 0.6× 23 1.0k
J. van Deutekom Netherlands 12 904 0.9× 212 0.9× 338 1.7× 179 1.0× 42 0.3× 25 1.1k
Takako I. Jones United States 19 909 0.9× 242 1.0× 120 0.6× 225 1.2× 63 0.5× 32 948
Eric R. Pozsgai United States 10 567 0.6× 136 0.6× 229 1.2× 149 0.8× 47 0.4× 19 634
Kaite Honeyman Australia 10 1.1k 1.1× 214 0.9× 337 1.7× 179 1.0× 59 0.4× 13 1.1k
L. Cordier France 12 957 1.0× 107 0.5× 418 2.1× 216 1.2× 73 0.6× 16 1.2k
Cécile Peccate France 15 560 0.6× 86 0.4× 112 0.6× 110 0.6× 42 0.3× 25 661
Cyriaque Beley France 14 573 0.6× 116 0.5× 183 0.9× 104 0.6× 46 0.3× 18 653
Jérôme Poupiot France 14 589 0.6× 81 0.3× 210 1.1× 123 0.7× 44 0.3× 21 668

Countries citing papers authored by Yusuke Echigoya

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Echigoya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Echigoya

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke Echigoya. A scholar is included among the top collaborators of Yusuke Echigoya 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 Yusuke Echigoya. Yusuke Echigoya 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
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Okamoto, Shunsuke, et al.. (2023). Antiviral Efficacy of RNase H-Dependent Gapmer Antisense Oligonucleotides against Japanese Encephalitis Virus. International Journal of Molecular Sciences. 24(19). 14846–14846. 1 indexed citations
3.
Echigoya, Yusuke & Toshifumi Yokota. (2022). Restoring Dystrophin Expression with Exon 44 and 53 Skipping in the DMD Gene in Immortalized Myotubes. Methods in molecular biology. 2587. 125–139. 1 indexed citations
4.
Lim, Kenji Rowel Q., Rika Maruyama, Yusuke Echigoya, et al.. (2020). Inhibition of DUX4 expression with antisense LNA gapmers as a therapy for facioscapulohumeral muscular dystrophy. Proceedings of the National Academy of Sciences. 117(28). 16509–16515. 43 indexed citations
5.
Lim, Kenji Rowel Q., Adam J. Bittel, Rika Maruyama, et al.. (2020). DUX4 Transcript Knockdown with Antisense 2′-O-Methoxyethyl Gapmers for the Treatment of Facioscapulohumeral Muscular Dystrophy. Molecular Therapy. 29(2). 848–858. 27 indexed citations
6.
Shiba, Naoko, Daigo Miyazaki, Yuji Shiba, et al.. (2019). Amelioration of intracellular Ca2+ regulation by exon-45 skipping in Duchenne muscular dystrophy-induced pluripotent stem cell-derived cardiomyocytes. Biochemical and Biophysical Research Communications. 520(1). 179–185. 13 indexed citations
7.
Lim, Kenji Rowel Q., Yusuke Echigoya, Tetsuya Nagata, et al.. (2018). Efficacy of Multi-exon Skipping Treatment in Duchenne Muscular Dystrophy Dog Model Neonates. Molecular Therapy. 27(1). 76–86. 23 indexed citations
8.
9.
Echigoya, Yusuke, Kenji Rowel Q. Lim, Bo Bao, et al.. (2017). Quantitative Antisense Screening and Optimization for Exon 51 Skipping in Duchenne Muscular Dystrophy. Molecular Therapy. 25(11). 2561–2572. 62 indexed citations
10.
Echigoya, Yusuke, et al.. (2016). Current Translational Research and Murine Models For Duchenne Muscular Dystrophy. Journal of Neuromuscular Diseases. 3(1). 29–48. 47 indexed citations
11.
Nakamura, Akinori, Naoko Shiba, Daigo Miyazaki, et al.. (2016). Comparison of the phenotypes of patients harboring in-frame deletions starting at exon 45 in the Duchenne muscular dystrophy gene indicates potential for the development of exon skipping therapy. Journal of Human Genetics. 62(4). 459–463. 53 indexed citations
12.
Echigoya, Yusuke, et al.. (2016). Impaired regenerative capacity and lower revertant fibre expansion in dystrophin-deficient mdx muscles on DBA/2 background. Scientific Reports. 6(1). 38371–38371. 39 indexed citations
13.
Nakamura, Akinori, Noboru Fueki, Naoko Shiba, et al.. (2016). Deletion of exons 3−9 encompassing a mutational hot spot in the DMD gene presents an asymptomatic phenotype, indicating a target region for multiexon skipping therapy. Journal of Human Genetics. 61(7). 663–667. 50 indexed citations
14.
Echigoya, Yusuke, Joshua K. Lee, Tetsuya Nagata, et al.. (2013). Mutation Types and Aging Differently Affect Revertant Fiber Expansion in Dystrophic Mdx and Mdx52 Mice. PLoS ONE. 8(7). e69194–e69194. 25 indexed citations
15.
Yokota, Toshifumi, Akinori Nakamura, Tetsuya Nagata, et al.. (2012). Extensive and Prolonged Restoration of Dystrophin Expression with Vivo-Morpholino-Mediated Multiple Exon Skipping in Dystrophic Dogs. Nucleic Acid Therapeutics. 22(5). 306–315. 56 indexed citations
16.
Echigoya, Yusuke, et al.. (2012). Effects of extracellular lactate on production of reactive oxygen species by equine polymorphonuclear leukocytes in vitro. American Journal of Veterinary Research. 73(8). 1290–1298. 8 indexed citations
17.
Itou, Takuya, et al.. (2010). Molecular cloning and expression of bottlenose dolphin CD34. Veterinary Immunology and Immunopathology. 139(2-4). 303–307. 5 indexed citations
18.
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Echigoya, Yusuke, Tetsuo Sato, Takuya Itou, Hideki Endo, & Takeo Sakai. (2009). Molecular characterization and expression pattern of the equine lactate dehydrogenase A and B genes. Gene. 447(1). 40–50. 14 indexed citations
20.
Echigoya, Yusuke, Tetsuo Sato, Takuya Itou, Hideki Endo, & Takeo Sakai. (2008). Molecular characterization and expression of the equine M1 and M2-pyruvate kinase gene. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 151(1). 125–132. 3 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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