Takaya Satoh
- Molecular Biology top 1%
- Oncology top 2%
- Cell Biology top 0.5%
- Surgery top 5%
- Immunology top 5%
- Co-authors
- Masato NakafukuY KaziroYoshito KaziroMasakiyo HosokawaTohru KataokaTohru KozasaHiroshi ItohMichiko Endo
- Topics
- Protein Kinase Regulation and GTPase Signaling (52 papers)Metabolism, Diabetes, and Cancer (20 papers)PI3K/AKT/mTOR signaling in cancer (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAnnual Review of Biochemistry
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Takaya Satoh
102 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 4.8k
- Oncology 1.4k
- Cell Biology 1.3k
- Surgery 743
- Immunology 720
Countries citing papers authored by Takaya Satoh
This map shows the geographic impact of Takaya 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 Takaya Satoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takaya Satoh more than expected).
Fields of papers citing papers by Takaya Satoh
This network shows the impact of papers produced by Takaya 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 Takaya Satoh. The network helps show where Takaya Satoh may publish in the future.
Co-authorship network of co-authors of Takaya Satoh
This figure shows the co-authorship network connecting the top 25 collaborators of Takaya Satoh. A scholar is included among the top collaborators of Takaya 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 Takaya Satoh. Takaya 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 | 4 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 16 | |
| 7 | 21 | |
| 8 | 404 | |
| 9 | 13 | |
| 10 | 80 | |
| 11 | 92 | |
| 12 | 47 | |
| 13 | 61 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 1 | |
| 17 | 19 | |
| 18 | 371 | |
| 19 | 17 | |
| 20 | Effect of repeated administration of monomethyl-aminoantipyrine on the activities of gamma-glutamyltranspeptidase and microsomal drug metabolizing enzymes in rat liver. | 2 |
About Takaya Satoh
Takaya Satoh is a scholar working on Molecular Biology, Cell Biology and Oncology, having authored 103 papers that have together received 7.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (52 papers), Metabolism, Diabetes, and Cancer (20 papers) and PI3K/AKT/mTOR signaling in cancer (16 papers). The work is most often cited by research in Cell Biology (1.3k citations), Molecular Biology (4.8k citations) and Immunology and Allergy (325 citations). Takaya Satoh has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Masato Nakafuku, Y Kaziro, Yoshito Kaziro, Masakiyo Hosokawa, Tohru Kataoka, Tohru Kozasa, Hiroshi Itoh, Michiko Endo, Shun Nakamura and Atsushi Miyajima. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Annual Review of Biochemistry.
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.