Sumihisa Kimura
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
Papers in
- Oncology 8
- Bone health and treatments 5
- Cancer Treatment and Pharmacology 1
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- Chemical Reaction Mechanisms 2
- Co-authors
- Akira Kagayama (3 shared papers)Akira Suzuki (1 shared paper)Y. Naritomi (1 shared paper)Shigeyuki Terashita (1 shared paper)Yuji Tokunaga (7 shared papers)Takehisa Hata (7 shared papers)Toshiya Takahashi (3 shared papers)Hideki Hirabayashi (3 shared papers)
- Journals
- Chemical and Pharmaceutical Bulletin (2 papers)Journal of drug targeting (2 papers)Pharmaceutical Research (1 paper)Journal of Mass Spectrometry (1 paper)Journal of Controlled Release (1 paper)
- Partner nations
- JapanUnited KingdomSlovakia
In The Last Decade
Sumihisa Kimura
13 papers receiving 489 citations
Peers
Comparison fields: 5 of 91
- Pharmacology 195
- Pharmaceutical Science 75
- Oncology 222
- Computational Theory and Mathematics 56
- Spectroscopy 50
Countries citing papers authored by Sumihisa Kimura
This map shows the geographic impact of Sumihisa Kimura'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 Sumihisa Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumihisa Kimura more than expected).
Fields of papers citing papers by Sumihisa Kimura
This network shows the impact of papers produced by Sumihisa Kimura. 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 Sumihisa Kimura. The network helps show where Sumihisa Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumihisa Kimura, 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 | Prediction of human hepatic clearance from in vivo animal experiments and in vitro metabolic studies with liver microsomes from animals and humans. | 2001 | 272 |
| 2 | 2001 | 58 | |
| 3 | 1994 | 42 | |
| 4 | 1994 | 36 | |
| 5 | 1998 | 29 | |
| 6 | 2001 | 26 | |
| 7 | 2002 | 22 | |
| 8 | 2006 | 17 | |
| 9 | 1996 | 16 | |
| 10 | 1992 | 15 | |
| 11 | 1993 | 10 | |
| 12 | 1981 | 3 | |
| 13 | 1978 | 1 |
About Sumihisa Kimura
Sumihisa Kimura is a scholar working on Oncology, Organic Chemistry, Surgery, Orthopedics and Sports Medicine and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 547 indexed citations. Recurring topics across this work include Bone health and treatments (5 papers), Analytical Chemistry and Chromatography (2 papers), Chemical Reaction Mechanisms (2 papers), Bone and Joint Diseases (2 papers), Orthopaedic implants and arthroplasty (2 papers), Drug Solubulity and Delivery Systems (1 paper), Cancer Treatment and Pharmacology (1 paper) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Pharmacology (195 citations), Pharmaceutical Science (75 citations), Oncology (222 citations), Computational Theory and Mathematics (56 citations) and Spectroscopy (50 citations). Sumihisa Kimura has collaborated with scholars based in Japan, United Kingdom and Slovakia. Frequent co-authors include Akira Kagayama, Akira Suzuki, Y. Naritomi, Shigeyuki Terashita, Yuji Tokunaga, Takehisa Hata, Toshiya Takahashi, Hideki Hirabayashi, Satoshi Ueda and Taiji Sawamoto. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Journal of drug targeting, Pharmaceutical Research, Journal of Mass Spectrometry and Journal of Controlled Release.
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.