Yuko Sato

3.8k total citations
71 papers, 2.5k citations indexed

About

Yuko Sato is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Yuko Sato has authored 71 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 14 papers in Immunology and 7 papers in Plant Science. Recurrent topics in Yuko Sato's work include Genomics and Chromatin Dynamics (36 papers), Epigenetics and DNA Methylation (15 papers) and RNA Research and Splicing (14 papers). Yuko Sato is often cited by papers focused on Genomics and Chromatin Dynamics (36 papers), Epigenetics and DNA Methylation (15 papers) and RNA Research and Splicing (14 papers). Yuko Sato collaborates with scholars based in Japan, United States and Switzerland. Yuko Sato's co-authors include Hiroshi Kimurâ, Tatsuya Sawamura, Timothy J. Stasevich, Akinori Akaike, Yasuyuki Ohkawa, Kazumitsu Maehara, Yutaka Tamura, Yoshiko Fujita, Akemi Kakino and Yoko Hayashi‐Takanaka and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Yuko Sato

68 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuko Sato Japan 29 1.6k 420 410 164 155 71 2.5k
Toshihiko Utsumi Japan 30 1.6k 1.0× 210 0.5× 316 0.8× 241 1.5× 148 1.0× 101 2.7k
Weike Zeng China 14 1.7k 1.0× 859 2.0× 319 0.8× 84 0.5× 88 0.6× 39 2.9k
Jae‐Won Soh South Korea 29 1.6k 1.0× 144 0.3× 294 0.7× 152 0.9× 199 1.3× 53 2.6k
Ana Cuadrado Spain 25 2.8k 1.7× 255 0.6× 324 0.8× 131 0.8× 255 1.6× 40 3.9k
Laura Sturla Italy 34 1.1k 0.7× 258 0.6× 317 0.8× 138 0.8× 160 1.0× 79 2.7k
Ho Sung Kang South Korea 30 1.9k 1.2× 92 0.2× 351 0.9× 210 1.3× 142 0.9× 64 2.9k
Hui Hua China 24 1.8k 1.1× 139 0.3× 388 0.9× 84 0.5× 177 1.1× 63 3.0k
Khurshid Iqbal Andrabi India 22 1.5k 0.9× 194 0.5× 198 0.5× 86 0.5× 96 0.6× 71 2.2k
Hui Sun China 24 2.0k 1.3× 359 0.9× 401 1.0× 114 0.7× 92 0.6× 75 2.8k
Rasheedunnisa Begum India 30 1.0k 0.6× 151 0.4× 1.0k 2.4× 77 0.5× 109 0.7× 115 2.9k

Countries citing papers authored by Yuko Sato

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Yuko Sato. A scholar is included among the top collaborators of Yuko Sato 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 Yuko Sato. Yuko Sato 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.
Fujii, Takeru, Michiko Kato, Miho Ito, et al.. (2025). Reconstructing epigenomic dynamics through a single-cell multi-epigenome data integration framework. Nature Communications. 16(1). 11006–11006.
2.
Onoda, M., Hisashi Ishida, Yuko Sato, et al.. (2025). Designer Catalyst-Enabled Regiodivergent Histone Acetylation. Journal of the American Chemical Society. 147(16). 13732–13743.
3.
Sato, Yuko, et al.. (2024). Visualizing histone H4K20me1 in knock-in mice expressing the mCherry-tagged modification-specific intracellular antibody. Histochemistry and Cell Biology. 162(1-2). 41–52. 5 indexed citations
4.
Sato, Yuko, et al.. (2024). Mode of SUV420H2 heterochromatin localization through multiple HP1 binding motifs in the heterochromatic targeting module. Genes to Cells. 29(5). 361–379. 1 indexed citations
5.
Ochiai, Hiroshi, et al.. (2023). Organization of transcription and 3D genome as revealed by live-cell imaging. Current Opinion in Structural Biology. 81. 102615–102615. 4 indexed citations
6.
Oda, Haruka, Yuko Sato, Shigehiro A. Kawashima, et al.. (2023). Actin filaments accumulated in the nucleus remain in the vicinity of condensing chromosomes in the zebrafish early embryo. Biology Open. 12(5). 6 indexed citations
7.
Sato, Yuko, Bo Zhu, Tetsuya Kitaguchi, et al.. (2022). Intra Q-body: an antibody-based fluorogenic probe for intracellular proteins that allows live cell imaging and sorting. Chemical Science. 13(33). 9739–9748. 10 indexed citations
8.
Kimurâ, Hiroshi & Yuko Sato. (2022). Imaging transcription elongation dynamics by new technologies unveils the organization of initiation and elongation in transcription factories. Current Opinion in Cell Biology. 74. 71–79. 11 indexed citations
9.
Li, Jieru, Yuko Sato, Yasuyuki Ohkawa, et al.. (2022). STREAMING-tag system reveals spatiotemporal relationships between transcriptional regulatory factors and transcriptional activity. Nature Communications. 13(1). 7672–7672. 18 indexed citations
10.
Sato, Yuko, et al.. (2021). Live-cell imaging probes to track chromatin modification dynamics. Microscopy. 70(5). 415–422. 16 indexed citations
11.
Sato, Yuko, Aurélie Bousard, Ana Cláudia Raposo, et al.. (2021). H4K20me1 and H3K27me3 are concurrently loaded onto the inactive X chromosome but dispensable for inducing gene silencing. EMBO Reports. 22(3). e51989–e51989. 37 indexed citations
12.
Fujiwara, Yusuke, Akiko Fujimura, Yuko Sato, et al.. (2021). Live-cell epigenome manipulation by synthetic histone acetylation catalyst system. Proceedings of the National Academy of Sciences. 118(4). 28 indexed citations
13.
Hilbert, Lennart, Yuko Sato, Hiroshi Kimurâ, et al.. (2021). Transcription organizes euchromatin via microphase separation. Nature Communications. 12(1). 1360–1360. 92 indexed citations
14.
Hilbert, Lennart, Yuko Sato, Hiroshi Kimurâ, et al.. (2021). Author Correction: Transcription organizes euchromatin via microphase separation. Nature Communications. 12(1). 4240–4240. 2 indexed citations
15.
Chung, Chan-I, Yuko Sato, Yuki Ohmuro‐Matsuyama, et al.. (2019). Intrabody-based FRET probe to visualize endogenous histone acetylation. Scientific Reports. 9(1). 10188–10188. 13 indexed citations
16.
Kobashigawa, Yoshihiro, Chenjiang Liu, Takashi Sato, et al.. (2019). Cyclization of Single-Chain Fv Antibodies Markedly Suppressed Their Characteristic Aggregation Mediated by Inter-Chain VH-VL Interactions. Molecules. 24(14). 2620–2620. 25 indexed citations
17.
Sato, Yuko, Lennart Hilbert, Haruka Oda, et al.. (2019). Histone H3K27 acetylation precedes active transcription during zebrafish zygotic genome activation as revealed by live-cell analysis. Development. 146(19). 69 indexed citations
18.
Fox, Philip D., Haruka Oda, Tatsuya Morisaki, et al.. (2019). A genetically encoded probe for imaging nascent and mature HA-tagged proteins in vivo. Nature Communications. 10(1). 2947–2947. 87 indexed citations
19.
Harada, Akihito, Kazumitsu Maehara, Yusuke Ono, et al.. (2018). Histone H3.3 sub-variant H3mm7 is required for normal skeletal muscle regeneration. Nature Communications. 9(1). 1400–1400. 24 indexed citations
20.
Handoko, Lusy, Bogumił Kaczkowski, Chung-Chau Hon, et al.. (2018). JQ1 affects BRD2-dependent and independent transcription regulation without disrupting H4-hyperacetylated chromatin states. Epigenetics. 13(4). 410–431. 27 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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