Sunao Manabe
Impact in
- Pharmacology top 2%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Biochemistry top 5%
Papers in
- Pharmacology 30
- Pharmacogenetics and Drug Metabolism 21
- Drug-Induced Hepatotoxicity and Protection 9
- Co-authors
- Takashi YamotoNaoki KiyosawaShingo ArakawaKazumi ItoYukio AndoWataru TakasakiTakesaburo OgataToshiyuki Watanabe
- Journals
- Archives of Toxicology (7 papers)Toxicologic Pathology (6 papers)Toxicology Letters (6 papers)Toxicology (4 papers)Drug Metabolism and Disposition (3 papers)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Sunao Manabe
81 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 102
- Pharmacology 238
- Biochemistry 92
- Aging 17
- Cancer Research 131
- Hepatology 68
Countries citing papers authored by Sunao Manabe
This map shows the geographic impact of Sunao Manabe'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 Sunao Manabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunao Manabe more than expected).
Fields of papers citing papers by Sunao Manabe
This network shows the impact of papers produced by Sunao Manabe. 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 Sunao Manabe. The network helps show where Sunao Manabe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sunao Manabe, 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 | 2010 | 9 | |
| 2 | 2010 | 10 | |
| 3 | 2010 | 16 | |
| 4 | 2008 | 18 | |
| 5 | 2008 | 18 | |
| 6 | 2007 | 15 | |
| 7 | 2007 | 17 | |
| 8 | 2005 | 35 | |
| 9 | 2004 | 19 | |
| 10 | 2000 | 12 | |
| 11 | 1999 | 15 | |
| 12 | 2C-19 The increase in unirary oxcretion of 6 β-hydroxycortisol in common marmosets as a marker of hepatic CYP3A induction | 1997 | 1 |
| 13 | 1996 | 5 | |
| 14 | 1996 | 110 | |
| 15 | 1995 | 12 | |
| 16 | 1994 | 8 | |
| 17 | 322 RELATION BETWEEN CYTOCHRONE P-450 FAMILIES AND THE INDUCTION PROFILE OF 7-ALKOXYCOUMARIN O-DEALKYLASE ACTIVITIES IN RAT LIVER BY SEVERAL CHEMICALS | 1992 | 1 |
| 18 | 1992 | 2 | |
| 19 | 1992 | 9 | |
| 20 | 1991 | 12 |
About Sunao Manabe
Sunao Manabe is a scholar working on Pharmacology, Biochemistry, Endocrinology, Diabetes and Metabolism, Molecular Biology and Aging, having authored 81 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (21 papers), Drug Transport and Resistance Mechanisms (10 papers), Glutathione Transferases and Polymorphisms (9 papers), Computational Drug Discovery Methods (9 papers), Drug-Induced Hepatotoxicity and Protection (9 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Peroxisome Proliferator-Activated Receptors (7 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). The work is most often cited by research in Pharmacology (238 citations), Biochemistry (92 citations), Aging (17 citations), Cancer Research (131 citations) and Hepatology (68 citations). Sunao Manabe has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Takashi Yamoto, Naoki Kiyosawa, Shingo Arakawa, Kazumi Ito, Yukio Ando, Wataru Takasaki, Takesaburo Ogata, Toshiyuki Watanabe, Kazuyoshi Kumagai and Atsushi Sanbuissho. Their work appears in journals such as Archives of Toxicology, Toxicologic Pathology, Toxicology Letters, Toxicology and Drug Metabolism and Disposition.
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.