Satoru Sakuma
- Molecular Biology
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Health, Toxicology and Mutagenesis top 5%
- Biochemistry top 2%
- Co-authors
- Yohko FujimotoTadashi FujitaHiroko NishidaTetsuo SugimotoTakeshi HoutaniTaku MatsushitaYoshihiko MatsuiTakanobu Inoue
- Topics
- Eicosanoids and Hypertension Pharmacology (24 papers)Inflammatory mediators and NSAID effects (22 papers)Epilepsy research and treatment (11 papers)
- Journals
- Physical Review LettersJournal of Biological ChemistrySHILAP Revista de lepidopterología
In The Last Decade
Satoru Sakuma
112 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 495
- Physiology 265
- Cellular and Molecular Neuroscience 232
- Health, Toxicology and Mutagenesis 208
- Biochemistry 176
Countries citing papers authored by Satoru Sakuma
This map shows the geographic impact of Satoru Sakuma'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 Satoru Sakuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoru Sakuma more than expected).
Fields of papers citing papers by Satoru Sakuma
This network shows the impact of papers produced by Satoru Sakuma. 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 Satoru Sakuma. The network helps show where Satoru Sakuma may publish in the future.
Co-authorship network of co-authors of Satoru Sakuma
This figure shows the co-authorship network connecting the top 25 collaborators of Satoru Sakuma. A scholar is included among the top collaborators of Satoru Sakuma 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 Satoru Sakuma. Satoru Sakuma 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 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 78 | |
| 8 | 6 | |
| 9 | 27 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 18 | |
| 14 | 46 | |
| 15 | 12 | |
| 16 | [Clinical application of AMI-25 (superparamagnetic iron oxide) for the MR imaging of hepatic tumors: a multicenter clinical phase III study]. | 8 |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 14 | |
| 20 | 5 |
About Satoru Sakuma
Satoru Sakuma is a scholar working on Biochemistry, Pharmacology and Nephrology, having authored 115 papers that have together received 1.5k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (24 papers), Inflammatory mediators and NSAID effects (22 papers) and Epilepsy research and treatment (11 papers). The work is most often cited by research in Biochemistry (176 citations), Health, Toxicology and Mutagenesis (208 citations) and Cellular and Molecular Neuroscience (232 citations). Satoru Sakuma has collaborated with scholars based in Japan, Canada and Iran. Frequent co-authors include Yohko Fujimoto, Tadashi Fujita, Hiroko Nishida, Tetsuo Sugimoto, Takeshi Houtani, Taku Matsushita, Yoshihiko Matsui, Takanobu Inoue, Teizo Ueyama and Yoshinori Kamisaki. Their work appears in journals such as Physical Review Letters, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.