Yoichi Naritomi
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
Papers in
- Pharmacology 14
- Pharmacogenetics and Drug Metabolism 14
- Drug-Induced Hepatotoxicity and Protection 5
- Oncology 12
- Drug Transport and Resistance Mechanisms 12
- Co-authors
- Shigeyuki Terashita (8 shared papers)Akira Kagayama (3 shared papers)Yuichi Sugiyama (1 shared paper)Seigo Sanoh (4 shared papers)Shigeru Ohta (4 shared papers)Kenji Tabata (3 shared papers)Toshio Teramura (6 shared papers)Katsuhiro Yamano (4 shared papers)
- Journals
- Drug Metabolism and Pharmacokinetics (6 papers)Xenobiotica (5 papers)Drug Metabolism and Disposition (2 papers)British Journal of Pharmacology (1 paper)Bioorganic & Medicinal Chemistry (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Yoichi Naritomi
17 papers receiving 496 citations
Peers
Comparison fields: 5 of 64
- Pharmacology 300
- Oncology 215
- Clinical Biochemistry 32
- Hepatology 30
- Computational Theory and Mathematics 65
Countries citing papers authored by Yoichi Naritomi
This map shows the geographic impact of Yoichi Naritomi'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 Yoichi Naritomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoichi Naritomi more than expected).
Fields of papers citing papers by Yoichi Naritomi
This network shows the impact of papers produced by Yoichi Naritomi. 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 Yoichi Naritomi. The network helps show where Yoichi Naritomi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoichi Naritomi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 169 | |
| 2 | 2004 | 49 | |
| 3 | 2015 | 42 | |
| 4 | 2017 | 36 | |
| 5 | 2004 | 26 | |
| 6 | 2014 | 26 | |
| 7 | 2013 | 23 | |
| 8 | 2011 | 22 | |
| 9 | 2011 | 18 | |
| 10 | 2019 | 18 | |
| 11 | 2011 | 14 | |
| 12 | 2020 | 14 | |
| 13 | 2013 | 13 | |
| 14 | 2012 | 10 | |
| 15 | 2013 | 9 | |
| 16 | 2012 | 8 | |
| 17 | 2022 | 6 |
About Yoichi Naritomi
Yoichi Naritomi is a scholar working on Pharmacology, Oncology, Molecular Biology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 17 papers that have together received 503 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (14 papers), Drug Transport and Resistance Mechanisms (12 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Pharmacological Effects and Toxicity Studies (2 papers), Computational Drug Discovery Methods (2 papers), Prostate Cancer Treatment and Research (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Pharmacology (300 citations), Oncology (215 citations), Clinical Biochemistry (32 citations), Hepatology (30 citations) and Computational Theory and Mathematics (65 citations). Yoichi Naritomi has collaborated with scholars based in Japan and United States. Frequent co-authors include Shigeyuki Terashita, Akira Kagayama, Yuichi Sugiyama, Seigo Sanoh, Shigeru Ohta, Kenji Tabata, Toshio Teramura, Katsuhiro Yamano, Hiroyuki Moriguchi and Kazuhiro Tetsuka. Their work appears in journals such as Drug Metabolism and Pharmacokinetics, Xenobiotica, Drug Metabolism and Disposition, British Journal of Pharmacology and Bioorganic & Medicinal 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.