Shinya Sato

701 total citations
19 papers, 490 citations indexed

About

Shinya Sato is a scholar working on Molecular Biology, Infectious Diseases and Neurology. According to data from OpenAlex, Shinya Sato has authored 19 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Neurology. Recurrent topics in Shinya Sato's work include T-cell and Retrovirus Studies (3 papers), RNA Interference and Gene Delivery (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Shinya Sato is often cited by papers focused on T-cell and Retrovirus Studies (3 papers), RNA Interference and Gene Delivery (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Shinya Sato collaborates with scholars based in Japan, United States and Italy. Shinya Sato's co-authors include S. Tsuyoshi Ohnishi, Tomo̧ko Ohnishi, Teiji Tominaga, Takashi Yoshimoto, T. Takahashi, Keita Kondo, Yuta Suzuki, Kenji Kubara, Reizo Shirane and Shin‐ichi Tsukumo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Brain Research and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

In The Last Decade

Shinya Sato

18 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinya Sato Japan 9 131 127 95 86 74 19 490
Ernst Suidgeest Netherlands 15 232 1.8× 87 0.7× 74 0.8× 27 0.3× 48 0.6× 27 575
K. M. Einhäupl Germany 10 64 0.5× 71 0.6× 46 0.5× 26 0.3× 181 2.4× 12 479
Vivek V Nair India 12 95 0.7× 78 0.6× 48 0.5× 33 0.4× 10 0.1× 54 494
Mitra Assadi United States 9 247 1.9× 61 0.5× 134 1.4× 37 0.4× 44 0.6× 16 460
Jonathan D. Bui United States 14 117 0.9× 23 0.2× 272 2.9× 23 0.3× 69 0.9× 23 616
Heather Collins United States 11 35 0.3× 190 1.5× 207 2.2× 28 0.3× 55 0.7× 16 530
P. J. Cozzone France 17 341 2.6× 106 0.8× 155 1.6× 17 0.2× 74 1.0× 40 931
Elina Starosvetsky Israel 10 283 2.2× 64 0.5× 23 0.2× 28 0.3× 22 0.3× 16 925
Tao Gong China 14 71 0.5× 42 0.3× 195 2.1× 12 0.1× 126 1.7× 49 509
Maynard M. Cohen United States 13 118 0.9× 52 0.4× 85 0.9× 39 0.5× 64 0.9× 34 431

Countries citing papers authored by Shinya Sato

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Sato

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

All Works

19 of 19 papers shown
1.
Kato, Takeharu, Kenichi Yokota, Hikaru Sakamoto, et al.. (2024). Improved survival among elderly patients with aggressive adult T-cell leukemia/lymphoma: Impact of mogamulizumab-containing chemotherapy. International Journal of Hematology. 120(6). 694–704.
2.
Suzuki, Takuya, et al.. (2024). Anion exchange-HPLC method for evaluating the encapsulation efficiency of mRNA-loaded lipid nanoparticles using analytical quality by design. Journal of Chromatography B. 1247. 124317–124317. 4 indexed citations
3.
Sato, Shinya, et al.. (2024). Understanding the Manufacturing Process of Lipid Nanoparticles for mRNA Delivery Using Machine Learning. Chemical and Pharmaceutical Bulletin. 72(6). 529–539. 17 indexed citations
4.
Kobayashi, Yuji, Koji Ando, Yoshitaka Imaizumi, et al.. (2024). RUNX1 expression is regulated by a super-enhancer and is a therapeutic target in adult T-cell leukemia/lymphoma. Leukemia & lymphoma. 65(14). 2116–2128. 1 indexed citations
5.
Suzuki, Yuta, Kenji Kubara, Yohei Mukai, et al.. (2022). Design and lyophilization of lipid nanoparticles for mRNA vaccine and its robust immune response in mice and nonhuman primates. Molecular Therapy — Nucleic Acids. 30. 226–240. 52 indexed citations
6.
Nishimura, Norihisa, David R. McGivern, Ronald E. Engle, et al.. (2021). Chitinase 3-like 1 is a profibrogenic factor overexpressed in the aging liver and in patients with liver cirrhosis. Proceedings of the National Academy of Sciences. 118(17). 29 indexed citations
7.
Inoue, Sumito, Akira Igarashi, Keita Morikane, et al.. (2021). Adverse reactions to BNT162b2 mRNA COVID-19 vaccine in medical staff with a history of allergy. Respiratory Investigation. 60(2). 248–255. 10 indexed citations
8.
Sakamoto, Hikaru, Yoshitaka Imaizumi, Daisuke Niino, et al.. (2020). [Composite adult T-cell leukemia/lymphoma and Epstein-Barr virus-positive diffuse large B-cell lymphoma].. PubMed. 61(4). 305–311. 2 indexed citations
9.
Itonaga, Hidehiro, Takeharu Kato, Yasuhito Nannya, et al.. (2019). Persistent clonal cytogenetic abnormality with del(20q) from an initial diagnosis of acute promyelocytic leukemia. International Journal of Hematology. 111(2). 311–316. 1 indexed citations
10.
Yokoyama, Yasuhisa, Akiyoshi Takami, Yasuo Mori, et al.. (2019). [Reference guide for adult chronic neutropenia].. PubMed. 59(7). 845–857. 1 indexed citations
11.
Takahashi, Masami, Shinya Sato, & Masato Matsuo. (2012). Human Behavior Process Extraction from the Web. IEICE Technical Report; IEICE Tech. Rep.. 112(319). 31–35. 1 indexed citations
12.
Sato, Shinya, et al.. (2012). Atypical teratoid rhabdoid tumor located in the pineal region following prophylactic irradiation for acute lymphoblastic leukemia. Brain Tumor Pathology. 29(3). 177–181. 18 indexed citations
13.
Sato, Shinya, et al.. (2005). Distinguishing between People on the Web with the Same First and Last Name by Real-world Oriented Web Mining. 46(8). 26–36. 1 indexed citations
14.
Takahashi, T., et al.. (1999). Developmental changes of cerebral blood flow and oxygen metabolism in children.. PubMed. 20(5). 917–22. 155 indexed citations
15.
16.
Sato, Shinya, Teiji Tominaga, Tomo̧ko Ohnishi, & S. Tsuyoshi Ohnishi. (1993). EPR spin-trapping study of nitric oxide formation during bilateral carotid occlusion in the rat. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1181(2). 195–197. 61 indexed citations
17.
Shirane, Reizo, Shinya Sato, Kiyotaka Sato, et al.. (1992). Cerebral blood flow and oxygen metabolism in infants with hydrocephalus. Child s Nervous System. 8(3). 118–123. 30 indexed citations
18.
Kubota, Takao, et al.. (1990). Regulation by transforming growth factor-beta (TGF-beta) in bone and periodontium.. PubMed. 18(2). 143–9. 1 indexed citations
19.
Sato, Shinya, et al.. (1978). [Experimental and clinical use of newly manufactured artificial cerebrospinal fluid (C.S.F.)--for continuous intraventricular irrigation in ventriculitis and intraventricular hemorrhage (author's transl)].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 6(1). 67–75. 6 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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