Kenichi Sudo
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 19
- Pharmacogenetics and Drug Metabolism 16
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- Cardiac Valve Diseases and Treatments 9
- Cardiac Arrhythmias and Treatments 6
- Co-authors
- Kazumasa Shimizu (6 shared papers)Osamu Okazaki (16 shared papers)Hideo Hakusui (6 shared papers)Shuichi Ikeyama (1 shared paper)Takashi Fujita (1 shared paper)Tadashi Yamamoto (1 shared paper)Mitsuaki Yamaoka (1 shared paper)Hiroshi Masumoto (6 shared papers)
In The Last Decade
Kenichi Sudo
95 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 120
- Pharmacology 280
- Oncology 358
- Biomaterials 154
- Cardiology and Cardiovascular Medicine 198
- Biomedical Engineering 372
Countries citing papers authored by Kenichi Sudo
This map shows the geographic impact of Kenichi Sudo'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 Kenichi Sudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichi Sudo more than expected).
Fields of papers citing papers by Kenichi Sudo
This network shows the impact of papers produced by Kenichi Sudo. 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 Kenichi Sudo. The network helps show where Kenichi Sudo may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenichi Sudo, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 166 | |
| 2 | Angiogenesis inhibitor TNP-470 (AGM-1470) potently inhibits the tumor growth of hormone-independent human breast and prostate carcinoma cell lines. | 1993 | 140 |
| 3 | 1997 | 137 | |
| 4 | 1993 | 84 | |
| 5 | 2000 | 77 | |
| 6 | 2010 | 62 | |
| 7 | 2009 | 57 | |
| 8 | 2008 | 56 | |
| 9 | 1998 | 55 | |
| 10 | 2007 | 53 | |
| 11 | 1987 | 49 | |
| 12 | 2008 | 34 | |
| 13 | 1985 | 34 | |
| 14 | 2007 | 28 | |
| 15 | 2009 | 27 | |
| 16 | 2010 | 27 | |
| 17 | 1986 | 26 | |
| 18 | 1986 | 21 | |
| 19 | 2009 | 20 | |
| 20 | 2006 | 17 |
About Kenichi Sudo
Kenichi Sudo is a scholar working on Pharmacology, Cardiology and Cardiovascular Medicine, Oncology, Surgery and Internal Medicine, having authored 100 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (16 papers), Drug Transport and Resistance Mechanisms (15 papers), Cardiac and Coronary Surgery Techniques (9 papers), Cardiac Valve Diseases and Treatments (9 papers), Aortic Disease and Treatment Approaches (8 papers), Lignin and Wood Chemistry (7 papers), Cardiac Structural Anomalies and Repair (6 papers) and Cardiac Arrhythmias and Treatments (6 papers). The work is most often cited by research in Pharmacology (280 citations), Oncology (358 citations), Biomaterials (154 citations), Cardiology and Cardiovascular Medicine (198 citations) and Biomedical Engineering (372 citations). Kenichi Sudo has collaborated with scholars based in Japan, Germany and Taiwan. Frequent co-authors include Kazumasa Shimizu, Osamu Okazaki, Hideo Hakusui, Shuichi Ikeyama, Takashi Fujita, Tadashi Yamamoto, Mitsuaki Yamaoka, Hiroshi Masumoto, Xiaoyan Chu and Yuichi Sugiyama. Their work appears in journals such as The Annals of Thoracic Surgery, Drug Metabolism and Disposition, Xenobiotica, Biomedical Chromatography and Chemical and Pharmaceutical Bulletin.
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.