Shin‐ichi Sato

4.2k total citations
118 papers, 3.3k citations indexed

About

Shin‐ichi Sato is a scholar working on Molecular Biology, Immunology and Allergy and Immunology. According to data from OpenAlex, Shin‐ichi Sato has authored 118 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 18 papers in Immunology and Allergy and 18 papers in Immunology. Recurrent topics in Shin‐ichi Sato's work include Cell Adhesion Molecules Research (18 papers), RNA and protein synthesis mechanisms (17 papers) and DNA and Nucleic Acid Chemistry (12 papers). Shin‐ichi Sato is often cited by papers focused on Cell Adhesion Molecules Research (18 papers), RNA and protein synthesis mechanisms (17 papers) and DNA and Nucleic Acid Chemistry (12 papers). Shin‐ichi Sato collaborates with scholars based in Japan, United States and China. Shin‐ichi Sato's co-authors include Thomas F. Tedder, Motonari Uesugi, Douglas A. Steeber, Pablo Engel, Liang‐Ji Zhou, Beverley Koller, Asako Murata, Kazuhiko Takehara, Yoshinori Kawazoe and Yuuka Mukai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Shin‐ichi Sato

109 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shin‐ichi Sato Japan 28 1.3k 950 484 364 290 118 3.3k
Hee Gu Lee South Korea 37 2.0k 1.6× 854 0.9× 729 1.5× 349 1.0× 259 0.9× 140 3.8k
Manish S. Patankar United States 35 1.9k 1.5× 1.5k 1.6× 798 1.6× 140 0.4× 237 0.8× 99 4.6k
Stefano Fiore United States 26 1.2k 0.9× 972 1.0× 452 0.9× 88 0.2× 258 0.9× 94 3.1k
Hisao Kato Japan 34 1.9k 1.5× 385 0.4× 278 0.6× 207 0.6× 370 1.3× 135 4.6k
Kwok‐Wai Lam United States 25 1.5k 1.1× 659 0.7× 479 1.0× 215 0.6× 107 0.4× 99 3.3k
Christoph C. Geilen Germany 33 1.8k 1.4× 595 0.6× 544 1.1× 344 0.9× 178 0.6× 106 3.3k
Debra T. Chao United States 18 2.9k 2.2× 1.2k 1.3× 1.1k 2.2× 259 0.7× 126 0.4× 28 4.3k
Arthur J. Verhoeven Netherlands 41 1.4k 1.1× 1.3k 1.3× 237 0.5× 86 0.2× 319 1.1× 102 4.2k
Sara Huerta‐Yépez Mexico 37 2.0k 1.5× 736 0.8× 811 1.7× 585 1.6× 162 0.6× 153 3.9k
Lidija Klampfer United States 28 1.6k 1.2× 683 0.7× 1.2k 2.5× 462 1.3× 245 0.8× 48 3.2k

Countries citing papers authored by Shin‐ichi Sato

Since Specialization
Citations

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

Fields of papers citing papers by Shin‐ichi Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shin‐ichi Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Shin‐ichi Sato. A scholar is included among the top collaborators of Shin‐ichi 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 Shin‐ichi Sato. Shin‐ichi 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.
Katsuda, Yousuke, R Ohno, Yasunobu Hasegawa, et al.. (2025). Staple oligomers induce a stable RNA G-quadruplex structure for protein translation inhibition in therapeutics. Nature Biomedical Engineering.
2.
Matsuda, Kazuki, Ai Kuzumi, Takemichi Fukasawa, et al.. (2024). Dual blockade of interleukin-17A and interleukin-17F as a therapeutic strategy for liver fibrosis: Investigating the potential effect and mechanism of brodalumab. Cytokine. 178. 156587–156587. 3 indexed citations
3.
Sato, Shin‐ichi, et al.. (2024). Chemoproteomic Identification of Spermidine-Binding Proteins and Antitumor-Immunity Activators. Journal of the American Chemical Society. 146(24). 16412–16418. 7 indexed citations
4.
Noda, Naotaka, et al.. (2022). Discovery of Non-Cysteine-Targeting Covalent Inhibitors by Activity-Based Proteomic Screening with a Cysteine-Reactive Probe. ACS Chemical Biology. 17(2). 340–347. 13 indexed citations
5.
Noda, Naotaka, Yoshiyuki Mizuhata, Masakazu Higuchi, et al.. (2022). Glucose as a Protein-Condensing Cellular Solute. ACS Chemical Biology. 17(3). 567–575. 6 indexed citations
6.
Nakagawa, Reiko, Syusuke Egoshi, Masahiro Abo, et al.. (2022). Chemoproteomic Identification of Blue-Light-Damaged Proteins. Journal of the American Chemical Society. 144(44). 20171–20176. 24 indexed citations
7.
Noda, Naotaka, Amélie Perron, Daniel M. Packwood, et al.. (2022). Discovery of a phase-separating small molecule that selectively sequesters tubulin in cells. Chemical Science. 13(19). 5760–5766. 13 indexed citations
8.
Katsuda, Yousuke, Shin‐ichi Sato, Sefan Asamitsu, et al.. (2022). Small molecule-based detection of non-canonical RNA G-quadruplex structures that modulate protein translation. Nucleic Acids Research. 50(14). 8143–8153. 7 indexed citations
9.
Takashima, Ippei, et al.. (2021). Non-genetic cell-surface modification with a self-assembling molecular glue. Chemical Communications. 57(12). 1470–1473. 1 indexed citations
10.
11.
Sato, Shin‐ichi & Yasushi Mukai. (2020). Modulation of Chronic Inflammation by Quercetin: The Beneficial Effects on Obesity. SHILAP Revista de lepidopterología. 2 indexed citations
12.
Takemoto, Yasushi, et al.. (2020). Discovery of a Small-Molecule-Dependent Photolytic Peptide. Journal of the American Chemical Society. 142(3). 1142–1146. 2 indexed citations
13.
Ziegler, Slava, Hiroki Yoshida, Mizuki Watanabe, et al.. (2019). Nutrient-Based Chemical Library as a Source of Energy Metabolism Modulators. ACS Chemical Biology. 14(9). 1860–1865. 3 indexed citations
14.
Takashima, Ippei, Kosuke Kusamori, Naotaka Noda, et al.. (2019). Multifunctionalization of Cells with a Self-Assembling Molecule to Enhance Cell Engraftment. ACS Chemical Biology. 14(4). 775–783. 9 indexed citations
15.
Sato, Shin‐ichi, et al.. (2018). Live-cell imaging of multiple endogenous mRNAs permits the direct observation of RNA granule dynamics. Chemical Communications. 54(52). 7151–7154. 9 indexed citations
16.
Qin, Ying�, Shin‐ichi Sato, Yasushi Takemoto, et al.. (2018). Chemical decontamination of iPS cell-derived neural cell mixtures. Chemical Communications. 54(11). 1355–1358. 6 indexed citations
17.
Sato, Shin‐ichi, Yuuka Mukai, & Toshio Norikura. (2011). Maternal low-protein diet suppresses vascular and renal endothelial nitric oxide synthase phosphorylation in rat offspring independent of a postnatal fructose diet. Journal of Developmental Origins of Health and Disease. 2(3). 168–175. 7 indexed citations
18.
Yamazoe, Sayumi, Hiroki Shimogawa, Shin‐ichi Sato, Jeffrey D. Esko, & Motonari Uesugi. (2009). A Dumbbell-Shaped Small Molecule that Promotes Cell Adhesion and Growth. Chemistry & Biology. 16(7). 773–782. 27 indexed citations
19.
Shimada, Yuka, Minoru Hasegawa, Yuko Kaburagi, et al.. (2003). L-Selectin or ICAM-1 Deficiency Reduces an Immediate-Type Hypersensitivity Response by Preventing Mast Cell Recruitment in Repeated Elicitation of Contact Hypersensitivity. The Journal of Immunology. 170(8). 4325–4334. 49 indexed citations
20.
Deguchi, Kōichi, et al.. (1985). Antibacterial Activity of Cefixime Against Clinically Isolated Organisms. Chemotherapy. 33(1). 50–58. 2 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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