T Satoh

12 total papers · 420 total citations
11 papers, 365 citations indexed

About

T Satoh is a scholar working on Pharmacology, Pharmacology and Molecular Biology. According to data from OpenAlex, T Satoh has authored 11 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 6 papers in Pharmacology and 4 papers in Molecular Biology. Recurrent topics in T Satoh's work include Pharmacogenetics and Drug Metabolism (6 papers), Computational Drug Discovery Methods (4 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). T Satoh is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Computational Drug Discovery Methods (4 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). T Satoh collaborates with scholars based in Japan and United States. T Satoh's co-authors include Masakiyo Hosokawa, Wataru Suzuki, Hideo Hakusui, Ryo Atsumi, Tomomi Furihata, Kan Chiba, Naoko Yamamoto, Naoko Koyano‐Nakagawa, Ayako Fujii and Satoshi Suzuki and has published in prestigious journals such as Drug Metabolism and Disposition, Chemico-Biological Interactions and Biological and Pharmaceutical Bulletin.

In The Last Decade

T Satoh

11 papers receiving 351 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T Satoh 197 134 110 108 87 11 365
Tetsuo Adachi 175 0.9× 110 0.8× 69 0.6× 86 0.8× 54 0.6× 25 399
Yuanfeng Lyu 154 0.8× 55 0.4× 91 0.8× 50 0.5× 44 0.5× 10 355
Nathan X. Yu 140 0.7× 44 0.3× 138 1.3× 98 0.9× 41 0.5× 13 382
Hongwu Shen 208 1.1× 59 0.4× 137 1.2× 86 0.8× 20 0.2× 9 397
Wenjie Lu 116 0.6× 45 0.3× 88 0.8× 86 0.8× 41 0.5× 24 390
Mary Piotrowski 91 0.5× 70 0.5× 84 0.8× 154 1.4× 69 0.8× 8 354
Angela Wolford 100 0.5× 50 0.4× 155 1.4× 113 1.0× 50 0.6× 11 374
Younggil Kwon 148 0.8× 39 0.3× 73 0.7× 106 1.0× 27 0.3× 11 385
Alexandre Bonet 84 0.4× 111 0.8× 108 1.0× 43 0.4× 79 0.9× 15 376
Xiao-Xia Yang 157 0.8× 99 0.7× 102 0.9× 95 0.9× 16 0.2× 13 361

Countries citing papers authored by T Satoh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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