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
- Co-authors
- Akira Kagayama (3 shared papers)Akira Suzuki (1 shared paper)Y. Naritomi (1 shared paper)Shigeyuki Terashita (1 shared paper)Takehisa Hata (7 shared papers)Yuji Tokunaga (7 shared papers)Jiro Fujisaki (5 shared papers)Hideki Hirabayashi (3 shared papers)
- Journals
- Chemical and Pharmaceutical Bulletin (2 papers)Journal of drug targeting (2 papers)Bulletin of the Chemical Society of Japan (1 paper)Biopharmaceutics & Drug Disposition (1 paper)Journal of Mass Spectrometry (1 paper)
- Partner nations
- Japan
In The Last Decade
Sumihisa Kimura
11 papers receiving 481 citations
Peers
Comparison fields: 5 of 83
- Pharmacology 184
- Pharmaceutical Science 77
- Oncology 214
- Spectroscopy 50
- Computational Theory and Mathematics 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 20 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 | 280 |
| 2 | 2001 | 60 | |
| 3 | 1994 | 42 | |
| 4 | 1994 | 36 | |
| 5 | 1998 | 29 | |
| 6 | 2001 | 28 | |
| 7 | 2002 | 22 | |
| 8 | 2006 | 19 | |
| 9 | 1996 | 17 | |
| 10 | 1981 | 3 | |
| 11 | 1978 | 1 |
About Sumihisa Kimura
Sumihisa Kimura is a scholar working on Oncology, Surgery, Orthopedics and Sports Medicine, Organic Chemistry and Spectroscopy, having authored 11 papers that have together received 537 indexed citations. Recurring topics across this work include Bone health and treatments (5 papers), Bone and Joint Diseases (2 papers), Analytical Chemistry and Chromatography (2 papers), Orthopaedic implants and arthroplasty (2 papers), Chemical Reaction Mechanisms (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Estrogen and related hormone effects (1 paper) and Lanthanide and Transition Metal Complexes (1 paper). The work is most often cited by research in Pharmacology (184 citations), Pharmaceutical Science (77 citations), Oncology (214 citations), Spectroscopy (50 citations) and Computational Theory and Mathematics (50 citations). Sumihisa Kimura has collaborated with scholars based in Japan. Frequent co-authors include Akira Kagayama, Akira Suzuki, Y. Naritomi, Shigeyuki Terashita, Takehisa Hata, Yuji Tokunaga, Jiro Fujisaki, Hideki Hirabayashi, Toshiya Takahashi and Taiji Sawamoto. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Journal of drug targeting, Bulletin of the Chemical Society of Japan, Biopharmaceutics & Drug Disposition and Journal of Mass Spectrometry.
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.