Makoto Sato
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 2%
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Jiro TakaharaMasaya TohyamaMichio NiimiKoji MuraoHideshi YagiTakashi NaganoKoichi NoguchiKazuhiko Sasaki
- Topics
- Neuroscience and Neuropharmacology Research (42 papers)Growth Hormone and Insulin-like Growth Factors (26 papers)Neuropeptides and Animal Physiology (22 papers)
- Cited by
- Cellular and Molecular NeuroscienceDevelopmental NeuroscienceEndocrine and Autonomic Systems
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Makoto Sato
296 papers receiving 6.5k citations
Peers
Comparison fields: 5 of 166
- Molecular Biology 2.6k
- Cellular and Molecular Neuroscience 1.8k
- Physiology 848
- Epidemiology 716
- Endocrinology, Diabetes and Metabolism 558
Countries citing papers authored by Makoto Sato
This map shows the geographic impact of Makoto 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 Makoto Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Sato more than expected).
Fields of papers citing papers by Makoto Sato
This network shows the impact of papers produced by Makoto 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 Makoto Sato. The network helps show where Makoto Sato may publish in the future.
Co-authorship network of co-authors of Makoto Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Sato. A scholar is included among the top collaborators of Makoto 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 Makoto Sato. Makoto 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 | 2 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 5 | |
| 7 | 14 | |
| 8 | 3 | |
| 9 | 46 | |
| 10 | 52 | |
| 11 | 0 | |
| 12 | 47 | |
| 13 | 187 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | Production, purification and some properties of extracellular amylase of Schizophyllum commune | 10 |
| 17 | 9 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | Selective blocking action of mercurials on the inhibitory postsynaptic response of cholinoceptive neurones in aplysia. | 1 |
About Makoto Sato
Makoto Sato is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Periodontics, having authored 307 papers that have together received 6.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (42 papers), Growth Hormone and Insulin-like Growth Factors (26 papers) and Neuropeptides and Animal Physiology (22 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Developmental Neuroscience (308 citations) and Endocrine and Autonomic Systems (483 citations). Makoto Sato has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Jiro Takahara, Masaya Tohyama, Michio Niimi, Koji Murao, Hideshi Yagi, Takashi Nagano, Koichi Noguchi, Kazuhiko Sasaki, Hitomi Imachi and Toshihiko Ishida. Their work appears in journals such as Nature, 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.