Toru Usui
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Drug-Induced Adverse Reactions
- Hepatology top 10%
Papers in
- Pharmacology 10
- Pharmacogenetics and Drug Metabolism 7
- Drug-Induced Hepatotoxicity and Protection 6
- Drug-Induced Adverse Reactions 4
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- Acute Ischemic Stroke Management 5
- Co-authors
- Shinichiro Uchiyama (4 shared papers)Hideaki Tei (3 shared papers)Dean J. Naisbitt (7 shared papers)Setsuko Komuro (2 shared papers)Takanori Hashizume (2 shared papers)Masashi Mise (1 shared paper)Masashi Yabuki (1 shared paper)Takaharu Mizutani (6 shared papers)
- Journals
- Chemical Research in Toxicology (4 papers)Journal of Neurology (3 papers)Molecular Biology Reports (3 papers)Drug Metabolism Reviews (2 papers)Toxicological Sciences (2 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Toru Usui
24 papers receiving 597 citations
Peers
Comparison fields: 5 of 69
- Pharmacology 203
- Hepatology 56
- Epidemiology 207
- Pharmacology 94
- Transplantation 13
Countries citing papers authored by Toru Usui
This map shows the geographic impact of Toru Usui'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 Toru Usui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Usui more than expected).
Fields of papers citing papers by Toru Usui
This network shows the impact of papers produced by Toru Usui. 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 Toru Usui. The network helps show where Toru Usui may publish in the future.
Co-authors
The 25 scholars most cited alongside Toru Usui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 125 | |
| 2 | 2009 | 103 | |
| 3 | 2016 | 39 | |
| 4 | 2007 | 38 | |
| 5 | 2010 | 36 | |
| 6 | 2014 | 34 | |
| 7 | 2005 | 33 | |
| 8 | 2016 | 32 | |
| 9 | 2004 | 30 | |
| 10 | 2016 | 29 | |
| 11 | 2006 | 19 | |
| 12 | 2006 | 18 | |
| 13 | 2005 | 17 | |
| 14 | 2018 | 16 | |
| 15 | 2005 | 14 | |
| 16 | 2011 | 11 | |
| 17 | 2016 | 9 | |
| 18 | 2018 | 9 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 1 |
About Toru Usui
Toru Usui is a scholar working on Pharmacology, Epidemiology, Molecular Biology, Pharmacology and Infectious Diseases, having authored 27 papers that have together received 622 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Acute Ischemic Stroke Management (5 papers), Drug-Induced Adverse Reactions (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Neonatal Health and Biochemistry (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Pharmacology (203 citations), Hepatology (56 citations), Epidemiology (207 citations), Pharmacology (94 citations) and Transplantation (13 citations). Toru Usui has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Shinichiro Uchiyama, Hideaki Tei, Dean J. Naisbitt, Setsuko Komuro, Takanori Hashizume, Masashi Mise, Masashi Yabuki, Takaharu Mizutani, Neil French and Xiaoli Meng. Their work appears in journals such as Chemical Research in Toxicology, Journal of Neurology, Molecular Biology Reports, Drug Metabolism Reviews and Toxicological Sciences.
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.