Shin‐ichi Kanamitsu
- Pharmacology top 0.2%
- Oncology top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Co-authors
- Yuichi SugiyamaTakeshi IwatsuboKiyomi ItoKaoru UedaHiroshi SuzukiKikukatsu ItoYukiko NakajimaY Sugiyama
- Topics
- Pharmacogenetics and Drug Metabolism (9 papers)Drug Transport and Resistance Mechanisms (8 papers)Computational Drug Discovery Methods (3 papers)
- Journals
- Pharmacological ReviewsThe Annual Review of Pharmacology and ToxicologyPharmaceutical Research
- Partner nations
- JapanUnited States
In The Last Decade
Shin‐ichi Kanamitsu
9 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Pharmacology 819
- Oncology 615
- Pediatrics, Perinatology and Child Health 254
- Molecular Biology 177
- Computational Theory and Mathematics 170
Countries citing papers authored by Shin‐ichi Kanamitsu
This map shows the geographic impact of Shin‐ichi Kanamitsu'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 Shin‐ichi Kanamitsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin‐ichi Kanamitsu more than expected).
Fields of papers citing papers by Shin‐ichi Kanamitsu
This network shows the impact of papers produced by Shin‐ichi Kanamitsu. 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 Shin‐ichi Kanamitsu. The network helps show where Shin‐ichi Kanamitsu may publish in the future.
Co-authorship network of co-authors of Shin‐ichi Kanamitsu
This figure shows the co-authorship network connecting the top 25 collaborators of Shin‐ichi Kanamitsu. A scholar is included among the top collaborators of Shin‐ichi Kanamitsu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shin‐ichi Kanamitsu. Shin‐ichi Kanamitsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 110 | |
| 2 | 69 | |
| 3 | Quantitative Prediction of In Vivo Drug-drug Interactions from In Vitro Data : Effects of Active Transport of Inhibitors into the Liver | 4 |
| 4 | 95 | |
| 5 | 70 | |
| 6 | 46 | |
| 7 | 53 | |
| 8 | 413 | |
| 9 | 237 | |
| 10 | 0 |
About Shin‐ichi Kanamitsu
Shin‐ichi Kanamitsu is a scholar working on Pharmacology, Oncology and Computational Theory and Mathematics, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (9 papers), Drug Transport and Resistance Mechanisms (8 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Pharmacology (819 citations), Oncology (615 citations) and Pediatrics, Perinatology and Child Health (254 citations). Shin‐ichi Kanamitsu has collaborated with scholars based in Japan and United States. Frequent co-authors include Yuichi Sugiyama, Takeshi Iwatsubo, Kiyomi Ito, Kaoru Ueda, Hiroshi Suzuki, Kikukatsu Ito, Yukiko Nakajima, Y Sugiyama, Ken Ito and Tomoo Itoh. Their work appears in journals such as Pharmacological Reviews, The Annual Review of Pharmacology and Toxicology and Pharmaceutical Research.
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.