Chihiro Sato
Impact in
- Cell Biology top 1%
- Proteoglycans and glycosaminoglycans research
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Neurogenesis and neuroplasticity mechanisms 11
- Cell Biology 38
- Proteoglycans and glycosaminoglycans research 23
- Co-authors
- Ken KitajimaTsukasa MatsudaMasaya HaneKaren ColleySadako InoueFrederic A. TroySayaka OnoC S Lieber
- Journals
- Journal of Biological Chemistry (22 papers)Glycobiology (16 papers)Biochemical and Biophysical Research Communications (14 papers)Scientific Reports (7 papers)International Journal of Molecular Sciences (5 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Chihiro Sato
161 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 132
- Cell Biology 838
- Developmental Neuroscience 191
- Immunology 899
- Molecular Biology 2.8k
- Reproductive Medicine 203
Countries citing papers authored by Chihiro Sato
This map shows the geographic impact of Chihiro 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 Chihiro Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chihiro Sato more than expected).
Fields of papers citing papers by Chihiro Sato
This network shows the impact of papers produced by Chihiro 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 Chihiro Sato. The network helps show where Chihiro Sato may publish in the future.
Co-authors
The 25 scholars most cited alongside Chihiro Sato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 17 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 18 | |
| 9 | 2019 | 20 | |
| 10 | 2016 | 0 | |
| 11 | 2014 | 7 | |
| 12 | 2014 | 117 | |
| 13 | Influences of Nitrogen Fertilization Level on Timothy Silage Fermentation Quality, Nutritive Value, and Nutrient Intake in Sheep | 2009 | 1 |
| 14 | 2007 | 25 | |
| 15 | 2006 | 19 | |
| 16 | 2006 | 17 | |
| 17 | 2006 | 30 | |
| 18 | 2003 | 47 | |
| 19 | 1998 | 73 | |
| 20 | 1995 | 84 |
About Chihiro Sato
Chihiro Sato is a scholar working on Developmental Neuroscience, Cell Biology, Molecular Biology, Immunology and Rehabilitation, having authored 166 papers that have together received 4.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (82 papers), Proteoglycans and glycosaminoglycans research (23 papers), Carbohydrate Chemistry and Synthesis (22 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Galectins and Cancer Biology (14 papers), Neurogenesis and neuroplasticity mechanisms (11 papers), Lipid Membrane Structure and Behavior (10 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Cell Biology (838 citations), Developmental Neuroscience (191 citations), Immunology (899 citations), Molecular Biology (2.8k citations) and Reproductive Medicine (203 citations). Chihiro Sato has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Ken Kitajima, Tsukasa Matsuda, Masaya Hane, Ken Kitajima, Karen Colley, Sadako Inoue, Frederic A. Troy, Sayaka Ono, C S Lieber and Kaoru Ohta. Their work appears in journals such as Journal of Biological Chemistry, Glycobiology, Biochemical and Biophysical Research Communications, Scientific Reports and International Journal of Molecular Sciences.
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.