Yoichi Naritomi
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
-
- 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)Shigeru Ohta (4 shared papers)Seigo Sanoh (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)Biological and Pharmaceutical Bulletin (1 paper)Bioorganic & Medicinal Chemistry (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Yoichi Naritomi
17 papers receiving 488 citations
Peers
Comparison fields: 5 of 67
- Pharmacology 314
- Oncology 225
- Clinical Biochemistry 33
- Computational Theory and Mathematics 69
- Hepatology 29
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 | 168 | |
| 2 | 2004 | 49 | |
| 3 | 2015 | 41 | |
| 4 | 2017 | 36 | |
| 5 | 2014 | 26 | |
| 6 | 2004 | 26 | |
| 7 | 2013 | 22 | |
| 8 | 2011 | 22 | |
| 9 | 2011 | 18 | |
| 10 | 2019 | 16 | |
| 11 | 2011 | 14 | |
| 12 | 2013 | 13 | |
| 13 | 2020 | 13 | |
| 14 | 2012 | 10 | |
| 15 | 2013 | 9 | |
| 16 | 2012 | 8 | |
| 17 | 2022 | 5 |
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 496 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), Advanced biosensing and bioanalysis techniques (1 paper), Prostate Cancer Treatment and Research (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Pharmacology (314 citations), Oncology (225 citations), Clinical Biochemistry (33 citations), Computational Theory and Mathematics (69 citations) and Hepatology (29 citations). Yoichi Naritomi has collaborated with scholars based in Japan and United States. Frequent co-authors include Shigeyuki Terashita, Akira Kagayama, Yuichi Sugiyama, Shigeru Ohta, Seigo Sanoh, Kenji Tabata, Toshio Teramura, Katsuhiro Yamano, Kazuhiro Tetsuka and Hiroyuki Moriguchi. Their work appears in journals such as Drug Metabolism and Pharmacokinetics, Xenobiotica, Drug Metabolism and Disposition, Biological and Pharmaceutical Bulletin 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.