T Satoh
- Molecular Biology
- Pharmacology top 10%
- Pharmacology top 5%
- Oncology
- Computational Theory and Mathematics top 5%
- Co-authors
- Masakiyo HosokawaWataru SuzukiRyo AtsumiHideo HakusuiTomomi FurihataKan ChibaNaoko YamamotoAyako Fujii
- Topics
- Pharmacogenetics and Drug Metabolism (6 papers)Computational Drug Discovery Methods (4 papers)Cholinesterase and Neurodegenerative Diseases (4 papers)
- Journals
- Drug Metabolism and DispositionChemico-Biological InteractionsBiological and Pharmaceutical Bulletin
- Partner nations
- JapanUnited States
In The Last Decade
T Satoh
11 papers receiving 350 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 196
- Pharmacology 134
- Pharmacology 109
- Oncology 107
- Computational Theory and Mathematics 86
Countries citing papers authored by T Satoh
This map shows the geographic impact of T 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 T Satoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Satoh more than expected).
Fields of papers citing papers by T Satoh
This network shows the impact of papers produced by T 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 T Satoh. The network helps show where T Satoh may publish in the future.
Co-authorship network of co-authors of T Satoh
This figure shows the co-authorship network connecting the top 25 collaborators of T Satoh. A scholar is included among the top collaborators of T 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 T Satoh. T 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 | 42 | |
| 2 | 82 | |
| 3 | 23 | |
| 4 | 26 | |
| 5 | 25 | |
| 6 | 8 | |
| 7 | Characterization and transcriptional regulation of the modABCD genes for molybdenum transport in Escherichia coli. | 2 |
| 8 | 148 | |
| 9 | Effects of co-administration of monomethylaminoantipyrine with diethylaminoethyl 2,2-diphenylvalerate (SKF 525-A) on gamma-glutamyltranspeptidase, glutathione S-transferase and hepatic drug metabolizing enzyme activities in rats. | 1 |
| 10 | Toxicity and biotransformation of acetaminophen in rat hepatocytes (I). Uptake and release. | 5 |
| 11 | Potentiation of ethyl para-nitrophenyl phenyl-phosphonothioate (EPN)-induced inhibition of liver microsomal carboxylesterase by NAD in vitro in rats. | 2 |
About T Satoh
T Satoh is a scholar working on Pharmacology, Pharmacology and Computational Theory and Mathematics, having authored 11 papers that have together received 364 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Computational Drug Discovery Methods (4 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). The work is most often cited by research in Pharmacology (109 citations), Pharmacology (134 citations) and Computational Theory and Mathematics (86 citations). T Satoh has collaborated with scholars based in Japan and United States. Frequent co-authors include Masakiyo Hosokawa, Wataru Suzuki, Ryo Atsumi, Hideo Hakusui, Tomomi Furihata, Kan Chiba, Naoko Yamamoto, Ayako Fujii, Hideaki Yasuhara and Satoshi Suzuki. Their work appears in journals such as Drug Metabolism and Disposition, Chemico-Biological Interactions and Biological and Pharmaceutical Bulletin.
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.