Satoshi Nakamura
- Molecular Biology top 2%
- Biomedical Engineering top 0.5%
- Biomaterials top 1%
- Biotechnology top 0.5%
- Materials Chemistry top 5%
- Co-authors
- Kimihiro YamashitaToshiaki FukuiTakayuki KobayashiSueko HayashiIzumi OritaRikizo AonoYasunori KozutsumiYurika Miyake
- Topics
- Bone Tissue Engineering Materials (57 papers)Enzyme Production and Characterization (42 papers)Biofuel production and bioconversion (36 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- JapanUnited StatesLaos
In The Last Decade
Satoshi Nakamura
340 papers receiving 8.6k citations
Peers
Comparison fields: 5 of 166
- Molecular Biology 3.6k
- Biomedical Engineering 2.7k
- Biomaterials 1.1k
- Biotechnology 883
- Materials Chemistry 801
Countries citing papers authored by Satoshi Nakamura
This map shows the geographic impact of Satoshi Nakamura'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 Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Nakamura more than expected).
Fields of papers citing papers by Satoshi Nakamura
This network shows the impact of papers produced by Satoshi Nakamura. 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 Nakamura. The network helps show where Satoshi Nakamura may publish in the future.
Co-authorship network of co-authors of Satoshi Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Nakamura. A scholar is included among the top collaborators of Satoshi Nakamura 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 Nakamura. Satoshi Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 46 | |
| 5 | 23 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 26 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 100 | |
| 13 | 42 | |
| 14 | 28 | |
| 15 | 13 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | Molecular cloning of the gene encoding a 2Fe-2S ferredoxin from extremely halophilic archaeon Haloarcula japonica strain TR-1. | 1 |
| 20 | 18 |
About Satoshi Nakamura
Satoshi Nakamura is a scholar working on Biotechnology, Oral Surgery and Orthodontics, having authored 353 papers that have together received 8.9k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (57 papers), Enzyme Production and Characterization (42 papers) and Biofuel production and bioconversion (36 papers). The work is most often cited by research in Biotechnology (883 citations), Oral Surgery (614 citations) and Biomaterials (1.1k citations). Satoshi Nakamura has collaborated with scholars based in Japan, United States and Laos. Frequent co-authors include Kimihiro Yamashita, Toshiaki Fukui, Takayuki Kobayashi, Sueko Hayashi, Izumi Orita, Rikizo Aono, Yasunori Kozutsumi, Yurika Miyake, Tetsuro Fujita and Toshisuke Kawasaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.