Satoshi Tsunoda
- Molecular Biology top 10%
- Physiology top 5%
- Neurology top 1%
- Immunology top 10%
- Cancer Research top 10%
- Co-authors
- Hirohide AsaiTsuneya IkezuOleg ButovskyMaria MedallaSebastian KüglerTarik F. HaydarJennifer I. LuebkeSeiko Ikezu
- Topics
- Fibroblast Growth Factor Research (4 papers)Sperm and Testicular Function (4 papers)Selenium in Biological Systems (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Satoshi Tsunoda
30 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.0k
- Physiology 648
- Neurology 630
- Immunology 250
- Cancer Research 227
Countries citing papers authored by Satoshi Tsunoda
This map shows the geographic impact of Satoshi Tsunoda'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 Tsunoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Tsunoda more than expected).
Fields of papers citing papers by Satoshi Tsunoda
This network shows the impact of papers produced by Satoshi Tsunoda. 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 Tsunoda. The network helps show where Satoshi Tsunoda may publish in the future.
Co-authorship network of co-authors of Satoshi Tsunoda
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Tsunoda. A scholar is included among the top collaborators of Satoshi Tsunoda 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 Tsunoda. Satoshi Tsunoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 14 | |
| 3 | Depletion of microglia and inhibition of exosome synthesis halt tau propagationbreakdown → | 1213 |
| 4 | 15 | |
| 5 | 23 | |
| 6 | 12 | |
| 7 | 48 | |
| 8 | 18 | |
| 9 | 39 | |
| 10 | 49 | |
| 11 | 40 | |
| 12 | 65 | |
| 13 | 13 | |
| 14 | 10 | |
| 15 | 60 | |
| 16 | 21 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | Mouse TGFalpha gene expression in normal and neoplastic mammary glands and uteri of four strains of mice with different potentials for mammary gland growth and uterine adenomyosis | 3 |
| 20 | Male sterility and cytoplasmic differentiation. | 31 |
About Satoshi Tsunoda
Satoshi Tsunoda is a scholar working on Reproductive Medicine, Cancer Research and Nutrition and Dietetics, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (4 papers), Sperm and Testicular Function (4 papers) and Selenium in Biological Systems (3 papers). The work is most often cited by research in Neurology (630 citations), Biological Psychiatry (85 citations) and Physiology (648 citations). Satoshi Tsunoda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hirohide Asai, Tsuneya Ikezu, Oleg Butovsky, Maria Medalla, Sebastian Kügler, Tarik F. Haydar, Jennifer I. Luebke, Seiko Ikezu, Benjamin Wolozin and Junichi Fujii. Their work appears in journals such as Nature Neuroscience, Biochemical Journal and FEBS Letters.
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.