Kazuo Sato
- Molecular Biology
- Endocrine and Autonomic Systems top 2%
- Physiology
- Cellular and Molecular Neuroscience top 10%
- Neurology top 10%
- Co-authors
- Takeshi FujiiKoichiro KawashimaYoshihiro WatanabeShin YamadaTsuyoshi AndoKazuko FujimotoYoshiaki MiyakeTetsuya Okada
- Topics
- Neuroscience and Neuropharmacology Research (3 papers)Receptor Mechanisms and Signaling (3 papers)Neuroscience of respiration and sleep (2 papers)
- Partner nations
- JapanUnited StatesNew Zealand
In The Last Decade
Kazuo Sato
20 papers receiving 707 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 280
- Endocrine and Autonomic Systems 272
- Physiology 186
- Cellular and Molecular Neuroscience 153
- Neurology 113
Countries citing papers authored by Kazuo Sato
This map shows the geographic impact of Kazuo 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 Kazuo Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuo Sato more than expected).
Fields of papers citing papers by Kazuo Sato
This network shows the impact of papers produced by Kazuo 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 Kazuo Sato. The network helps show where Kazuo Sato may publish in the future.
Co-authorship network of co-authors of Kazuo Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Sato. A scholar is included among the top collaborators of Kazuo 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 Kazuo Sato. Kazuo 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 | 0 | |
| 2 | 3 | |
| 3 | [An Autopsy Case of Abnormal Behaviour Induced by Zolpidem]. | 2 |
| 4 | 2 | |
| 5 | Terminal Restriction Fragmentation Length Polymorphism Analysis of 16S rRNA Genes for the Characterization of Bacterial Community Structure in the Rumen of Sheep Fed Different Diets | 2 |
| 6 | 71 | |
| 7 | Cloned mice derived from somatic cell nuclei. | 10 |
| 8 | 209 | |
| 9 | 57 | |
| 10 | 1 | |
| 11 | 264 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 33 | |
| 17 | [Quantitative fluorescence-immunohistochemistry of presynaptic terminals using a monoclonal antibody against a synaptic vesicle-specific protein (SVP-38) in paraffin sections]. | 2 |
| 18 | 10 | |
| 19 | Stochastic theory of reaction kinetics. | 4 |
| 20 | 7 |
About Kazuo Sato
Kazuo Sato is a scholar working on Endocrine and Autonomic Systems, Toxicology and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 738 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Receptor Mechanisms and Signaling (3 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (272 citations), Aging (42 citations) and Neurology (113 citations). Kazuo Sato has collaborated with scholars based in Japan, United States and New Zealand. Frequent co-authors include Takeshi Fujii, Koichiro Kawashima, Yoshihiro Watanabe, Shin Yamada, Tsuyoshi Ando, Kazuko Fujimoto, Yoshiaki Miyake, Tetsuya Okada, Norio Ishida and Koichiro Kako. Their work appears in journals such as Journal of Biological Chemistry, Brain Research and The Journals of Gerontology Series A.
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.