Satoshi Goto
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Cell Biology top 1%
- Neurology top 2%
- Physiology top 5%
- Co-authors
- Eishichi MiyamotoKohji FukunagaShigeo HayashiYukitaka UshioMiki Yamamoto‐HinoYasuhiko MatsukadoNobuhiro InoueHideyuki Yamamoto
- Topics
- Glycosylation and Glycoproteins Research (14 papers)Neuroscience and Neuropharmacology Research (14 papers)Cellular transport and secretion (14 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Satoshi Goto
151 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 153
- Molecular Biology 2.4k
- Cellular and Molecular Neuroscience 1.4k
- Cell Biology 765
- Neurology 541
- Physiology 377
Countries citing papers authored by Satoshi Goto
This map shows the geographic impact of Satoshi Goto'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 Satoshi Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Goto more than expected).
Fields of papers citing papers by Satoshi Goto
This network shows the impact of papers produced by Satoshi Goto. 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 Satoshi Goto. The network helps show where Satoshi Goto may publish in the future.
Co-authorship network of co-authors of Satoshi Goto
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Goto. A scholar is included among the top collaborators of Satoshi Goto 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 Satoshi Goto. Satoshi Goto 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 | 1 | |
| 3 | 9 | |
| 4 | 110 | |
| 5 | 14 | |
| 6 | 84 | |
| 7 | 0 | |
| 8 | 30 | |
| 9 | 42 | |
| 10 | 105 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 45 | |
| 14 | 6 | |
| 15 | 20 | |
| 16 | 20 | |
| 17 | 17 | |
| 18 | 21 | |
| 19 | 24 | |
| 20 | 13 |
About Satoshi Goto
Satoshi Goto is a scholar working on Complementary and Manual Therapy, Cell Biology and Cellular and Molecular Neuroscience, having authored 157 papers that have together received 4.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Neuroscience and Neuropharmacology Research (14 papers) and Cellular transport and secretion (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Developmental Neuroscience (199 citations) and Cell Biology (765 citations). Satoshi Goto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Eishichi Miyamoto, Kohji Fukunaga, Shigeo Hayashi, Yukitaka Ushio, Miki Yamamoto‐Hino, Yasuhiko Matsukado, Nobuhiro Inoue, Hideyuki Yamamoto, Yosuke Mihara and Tadashi Hamasaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.