Kiyotoshi Satoh
- Molecular Biology top 10%
- Cell Biology top 5%
- Pathology and Forensic Medicine top 10%
- Oncology
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Tetsu AkiyamaAkihiko MatsumineNobuaki OkumuraKumao ToyoshimaShigeru KobayashiTakao SendaTakeo KAWAHARAGyeong‐Hun Baeg
- Topics
- Wnt/β-catenin signaling in development and cancer (8 papers)Vitamin C and Antioxidants Research (3 papers)RNA Research and Splicing (3 papers)
- Partner nations
- JapanPakistanNetherlands
In The Last Decade
Kiyotoshi Satoh
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 852
- Cell Biology 274
- Pathology and Forensic Medicine 182
- Oncology 159
- Cellular and Molecular Neuroscience 140
Countries citing papers authored by Kiyotoshi Satoh
This map shows the geographic impact of Kiyotoshi Satoh'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 Kiyotoshi Satoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyotoshi Satoh more than expected).
Fields of papers citing papers by Kiyotoshi Satoh
This network shows the impact of papers produced by Kiyotoshi Satoh. 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 Kiyotoshi Satoh. The network helps show where Kiyotoshi Satoh may publish in the future.
Co-authorship network of co-authors of Kiyotoshi Satoh
This figure shows the co-authorship network connecting the top 25 collaborators of Kiyotoshi Satoh. A scholar is included among the top collaborators of Kiyotoshi Satoh 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 Kiyotoshi Satoh. Kiyotoshi Satoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 40 | |
| 3 | 19 | |
| 4 | 25 | |
| 5 | 124 | |
| 6 | 81 | |
| 7 | 7 | |
| 8 | 17 | |
| 9 | 116 | |
| 10 | 68 | |
| 11 | 7 | |
| 12 | 37 | |
| 13 | 25 | |
| 14 | Induction of apoptosis by dopamine in human oral tumor cell lines. | 16 |
| 15 | 1 | |
| 16 | 109 | |
| 17 | 1 | |
| 18 | [Surgical treatment of pancreatobiliary carcinoma in the elderly]. | 7 |
| 19 | [Two cases of giant aneurysms arising from the distal segment of the anterior cerebral circulation]. | 8 |
| 20 | 12 |
About Kiyotoshi Satoh
Kiyotoshi Satoh is a scholar working on Molecular Biology, Cell Biology and Developmental Neuroscience, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (8 papers), Vitamin C and Antioxidants Research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cell Biology (274 citations), Molecular Biology (852 citations) and Developmental Neuroscience (43 citations). Kiyotoshi Satoh has collaborated with scholars based in Japan, Pakistan and Netherlands. Frequent co-authors include Tetsu Akiyama, Akihiko Matsumine, Nobuaki Okumura, Kumao Toyoshima, Shigeru Kobayashi, Takao Senda, Takeo KAWAHARA, Gyeong‐Hun Baeg, Akiko Ogai and Masato Okada. Their work appears in journals such as Science, 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.