Shinya Sato

18 papers receiving 477 citations

Peers

Shinya Sato
Comparison fields: 5 of 89
  • Molecular Biology 131
  • Physiology 127
  • Radiology, Nuclear Medicine and Imaging 95
  • Pediatrics, Perinatology and Child Health 86
  • Neurology 74
Replace K. M. Einhäupl with:
K. M. Einhäupl Germany
Vivek V Nair India
Ernst Suidgeest Netherlands
Karen Ribbons Australia
Yoshiteru Shimoda Japan
Jonathan D. Bui United States
P. J. Cozzone France
Jacqueline A. Hubbard United States
Maynard M. Cohen United States
Peter O. Bayguinov United States
Shinya Sato relative to K. M. Einhäupl Germany K. M. Einhäupl's profile →
Citations per field
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K. M. Einhäupl · 1×
Citations per year

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
#WorkIndexed citations
1 4
2 0
3 1
4 17
5 52
6 10
7 29
8 2
9 1
10 1
11
Human Behavior Process Extraction from the Web
1
12 18
13
Distinguishing between People on the Web with the Same First and Last Name by Real-world Oriented Web Mining
1
14
Developmental changes of cerebral blood flow and oxygen metabolism in children.
155
15 61
16 100
17 30
18
Regulation by transforming growth factor-beta (TGF-beta) in bone and periodontium.
1
19
[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)].
6

About Shinya Sato

Shinya Sato is a scholar working on Biophysics, Neurology and Immunology and Allergy, having authored 19 papers that have together received 490 indexed citations. Recurring topics across this 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). The work is most often cited by research in Biophysics (53 citations), Endocrine and Autonomic Systems (35 citations) and Physiology (127 citations). Shinya Sato has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Tomo̧ko Ohnishi, Teiji Tominaga, S. Tsuyoshi Ohnishi, T. Takahashi, Takashi Yoshimoto, Keita Kondo, Yuta Suzuki, Kenji Kubara, Kaori Sakurada and Koji Yasutomo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Brain Research and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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2026