Keiko Sato
- Molecular Biology top 5%
- Periodontics top 0.2%
- Public Health, Environmental and Occupational Health top 5%
- Genetics top 10%
- Developmental Neuroscience top 2%
- Co-authors
- Hideharu YukitakeMariko NaitoMikio ShojiKoji NakayamaIsao NaganoMark J. McBrideMasanori IwaiNobuhiko Omori
- Topics
- Oral microbiology and periodontitis research (27 papers)Neurogenesis and neuroplasticity mechanisms (17 papers)Neuroinflammation and Neurodegeneration Mechanisms (15 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Keiko Sato
120 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 1.3k
- Periodontics 916
- Public Health, Environmental and Occupational Health 513
- Genetics 311
- Developmental Neuroscience 279
Countries citing papers authored by Keiko Sato
This map shows the geographic impact of Keiko 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 Keiko Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Sato more than expected).
Fields of papers citing papers by Keiko Sato
This network shows the impact of papers produced by Keiko 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 Keiko Sato. The network helps show where Keiko Sato may publish in the future.
Co-authorship network of co-authors of Keiko Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Sato. A scholar is included among the top collaborators of Keiko 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 Keiko Sato. Keiko Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 77 | |
| 4 | 22 | |
| 5 | 56 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | Self Cooling Mechanism in Photovoltaic Cells and Its Impact on Heat Island Effect from Very Large Scale PV Systems in Deserts | 6 |
| 10 | 1 | |
| 11 | 18 | |
| 12 | 35 | |
| 13 | 18 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 23 | |
| 17 | 19 | |
| 18 | 4 | |
| 19 | Augmentation of antitumor immunity using genetically M-CSF-expressing L1210 cells. | 11 |
| 20 | 15 |
About Keiko Sato
Keiko Sato is a scholar working on Periodontics, Developmental Neuroscience and Neurology, having authored 120 papers that have together received 2.8k indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (27 papers), Neurogenesis and neuroplasticity mechanisms (17 papers) and Neuroinflammation and Neurodegeneration Mechanisms (15 papers). The work is most often cited by research in Periodontics (916 citations), Developmental Neuroscience (279 citations) and Neurology (220 citations). Keiko Sato has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hideharu Yukitake, Mariko Naito, Mikio Shoji, Koji Nakayama, Koji Nakayama, Mikio Shoji, Isao Nagano, Mark J. McBride, Masanori Iwai and Nobuhiko Omori. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.