Yusuke Miyanari

3.0k total citations · 1 hit paper
27 papers, 2.4k citations indexed

About

Yusuke Miyanari is a scholar working on Molecular Biology, Hepatology and Epidemiology. According to data from OpenAlex, Yusuke Miyanari has authored 27 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Hepatology and 6 papers in Epidemiology. Recurrent topics in Yusuke Miyanari's work include Genomics and Chromatin Dynamics (9 papers), CRISPR and Genetic Engineering (7 papers) and Hepatitis C virus research (7 papers). Yusuke Miyanari is often cited by papers focused on Genomics and Chromatin Dynamics (9 papers), CRISPR and Genetic Engineering (7 papers) and Hepatitis C virus research (7 papers). Yusuke Miyanari collaborates with scholars based in Japan, France and Germany. Yusuke Miyanari's co-authors include Kunitada Shimotohno, Makoto Hijikata, Maria‐Elena Torres‐Padilla, Koichi Watashi, Takayuki Hishiki, Takaji Wakita, Kimie Atsuzawa, Nobuteru Usuda, Margarita Zayas and Ralf Bartenschlager and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yusuke Miyanari

26 papers receiving 2.3k citations

Hit Papers

The lipid droplet is an important organelle for hepatitis... 2007 2026 2013 2019 2007 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
Yusuke Miyanari Japan 13 1.2k 1.1k 961 227 202 27 2.4k
Margarita Zayas Germany 13 1.4k 1.2× 549 0.5× 1.1k 1.2× 195 0.9× 194 1.0× 14 2.1k
Paul Targett‐Adams United Kingdom 21 1.2k 1.0× 678 0.6× 960 1.0× 242 1.1× 361 1.8× 35 2.0k
Gabrielle Vièyres Germany 20 883 0.7× 296 0.3× 663 0.7× 108 0.5× 156 0.8× 31 1.4k
Wang‐Shick Ryu South Korea 28 1.2k 1.0× 891 0.8× 1.5k 1.6× 75 0.3× 43 0.2× 57 2.5k
Guofeng Cheng United States 20 2.5k 2.1× 528 0.5× 2.1k 2.2× 108 0.5× 41 0.2× 35 3.0k
Petra Neddermann Italy 27 1.0k 0.9× 1.8k 1.7× 820 0.9× 151 0.7× 20 0.1× 36 3.2k
Christophe Hourioux France 19 727 0.6× 217 0.2× 815 0.8× 102 0.4× 69 0.3× 32 1.1k
Keril J. Blight United States 12 2.9k 2.4× 670 0.6× 2.2k 2.3× 171 0.8× 17 0.1× 14 3.4k
Fulvia Bono Germany 22 987 0.8× 1.3k 1.2× 1.0k 1.0× 83 0.4× 10 0.0× 34 2.5k
Farida Sarangi Canada 23 180 0.2× 1.6k 1.5× 590 0.6× 168 0.7× 72 0.4× 31 3.0k

Countries citing papers authored by Yusuke Miyanari

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Miyanari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Miyanari

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke Miyanari. A scholar is included among the top collaborators of Yusuke Miyanari 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 Miyanari. Yusuke Miyanari 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
2.
Ngo, Kien Xuan, Yanjun Zhang, Noriyuki Kodera, et al.. (2024). S100A11 promotes focal adhesion disassembly via myosin II-driven contractility and Piezo1-mediated Ca2+ entry. Journal of Cell Science. 137(2). 5 indexed citations
3.
Park, Sung‐Joon, Hideyuki Tanabe, Yasuyuki Ohkawa, et al.. (2024). Genome-wide ATAC-see screening identifies TFDP1 as a modulator of global chromatin accessibility. Nature Genetics. 56(3). 473–482. 10 indexed citations
4.
Sakamoto, M., et al.. (2023). Dynamic nucleosome remodeling mediated by YY1 underlies early mouse development. Genes & Development. 37(13-14). 590–604. 10 indexed citations
5.
Miyanari, Yusuke. (2022). Imaging Chromatin Accessibility by Assay of Transposase-Accessible Chromatin with Visualization. Methods in molecular biology. 2577. 93–101. 1 indexed citations
6.
Kato, Kagayaki, et al.. (2020). ALAP-seqによるゲノムプロファイリングはDNMT3A排除を介してPML体による転写調節を明らかにする【JST・京大機械翻訳】. Molecular Cell. 78(3). 493–505. 5 indexed citations
7.
Kato, Kagayaki, et al.. (2020). Genomic Profiling by ALaP-Seq Reveals Transcriptional Regulation by PML Bodies through DNMT3A Exclusion. Molecular Cell. 78(3). 493–505.e8. 32 indexed citations
8.
Ancelin, Katia, Yusuke Miyanari, Olivier Leroy, Maria‐Elena Torres‐Padilla, & Édith Heard. (2020). Mapping of Chromosome Territories by 3D-Chromosome Painting During Early Mouse Development. Methods in molecular biology. 2214. 175–187. 1 indexed citations
9.
Yamagishi, Hiroyuki, Yasushi Hara, Yasunari Takami, et al.. (2019). Histone H1 quantity determines the efficiency of chromatin condensation in both apoptotic and live cells. Biochemical and Biophysical Research Communications. 512(2). 202–207. 4 indexed citations
10.
Miyanari, Yusuke. (2015). A New Approach to Dissect Nuclear Organization: TALE-Mediated Genome Visualization (TGV). Methods in molecular biology. 1338. 89–97. 1 indexed citations
11.
Miyanari, Yusuke. (2014). TAL effector-mediated genome visualization (TGV). Methods. 69(2). 198–204. 7 indexed citations
12.
Li, Yufeng, Yusuke Miyanari, Kenjiro Shirane, et al.. (2013). Sequence-specific microscopic visualization of DNA methylation status at satellite repeats in individual cell nuclei and chromosomes. Nucleic Acids Research. 41(19). e186–e186. 30 indexed citations
13.
Miyanari, Yusuke & Maria‐Elena Torres‐Padilla. (2012). Control of ground-state pluripotency by allelic regulation of Nanog. Nature. 483(7390). 470–473. 188 indexed citations
14.
Miyanari, Yusuke, et al.. (2010). Epigenetic regulation of reprogramming factors towards pluripotency in mouse preimplantation development. Current Opinion in Endocrinology Diabetes and Obesity. 17(6). 500–506. 5 indexed citations
15.
Hiura, Hitoshi, Atsushi Sugawara, Hidehiko Ogawa, et al.. (2010). A tripartite paternally methylated region within the Gpr1-Zdbf2 imprinted domain on mouse chromosome 1 identified by meDIP-on-chip. Nucleic Acids Research. 38(15). 4929–4945. 39 indexed citations
16.
Miyanari, Yusuke, Kimie Atsuzawa, Nobuteru Usuda, et al.. (2007). The lipid droplet is an important organelle for hepatitis C virus production. Nature Cell Biology. 9(9). 1089–1097. 995 indexed citations breakdown →
17.
Watashi, Koichi, Makoto Hijikata, Daisuke Inoue, et al.. (2005). Cyclophilin B Is a Functional Regulator of Hepatitis C Virus RNA Polymerase. Molecular Cell. 19(1). 111–122. 355 indexed citations
18.
Murata, Takayuki, Takayuki Ohshima, Masashi Yamaji, et al.. (2004). Suppression of hepatitis C virus replicon by TGF-β. Virology. 331(2). 407–417. 57 indexed citations
19.
Miyanari, Yusuke, Makoto Hijikata, Masashi Yamaji, et al.. (2003). Hepatitis C Virus Non-structural Proteins in the Probable Membranous Compartment Function in Viral Genome Replication. Journal of Biological Chemistry. 278(50). 50301–50308. 123 indexed citations
20.
Kishine, Hiroe, Kazuo Sugiyama, Makoto Hijikata, et al.. (2002). Subgenomic replicon derived from a cell line infected with the hepatitis C virus. Biochemical and Biophysical Research Communications. 293(3). 993–999. 78 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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