Toshio Kamei
- Molecular Biology
- Surgery
- Analytical Chemistry top 5%
- Pharmacology top 5%
- Computational Theory and Mathematics top 10%
- Co-authors
- SHOSHIRO NAKAMURAMEIKI MATSUZAKIYusuke HidakaHajime SuzukiAkiko SatôKeiko WatanabeKazuhiro TaguchiKen‐ichi Hara
- Topics
- Plant biochemistry and biosynthesis (6 papers)Steroid Chemistry and Biochemistry (6 papers)Lipoproteins and Cardiovascular Health (5 papers)
- Partner nations
- JapanUnited KingdomBulgaria
In The Last Decade
Toshio Kamei
26 papers receiving 539 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 312
- Surgery 205
- Analytical Chemistry 94
- Pharmacology 86
- Computational Theory and Mathematics 72
Countries citing papers authored by Toshio Kamei
This map shows the geographic impact of Toshio Kamei'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 Toshio Kamei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshio Kamei more than expected).
Fields of papers citing papers by Toshio Kamei
This network shows the impact of papers produced by Toshio Kamei. 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 Toshio Kamei. The network helps show where Toshio Kamei may publish in the future.
Co-authorship network of co-authors of Toshio Kamei
This figure shows the co-authorship network connecting the top 25 collaborators of Toshio Kamei. A scholar is included among the top collaborators of Toshio Kamei 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 Toshio Kamei. Toshio Kamei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | In vivo metabolism of a new anticancer agent, 6-N-formylamino-12, 13-dihydro-1,11-dihydroxy-13-(beta-D-glucopyranosil)5H-indolo [2,3-a]pyrrolo [3,4-c]carbazole-5,7(6H)-dione (NB-506) in rats and dogs: pharmacokinetics, isolation, identification, and quantification of metabolites. | 6 |
| 3 | In vitro metabolism of a new anticancer agent, 6-N-formylamino-12, 13-dihydro-1,11-dihydroxy-13-(beta-D-glucopyranosil)5H-indolo+ ++[2,3-a]pyrrolo[3,4-c]carbazole-5,7(6H)-dione (NB-506), in mice, rats, dogs, and humans. | 6 |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 60 | |
| 7 | 31 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 83 | |
| 11 | 20 | |
| 12 | 32 | |
| 13 | 52 | |
| 14 | 42 | |
| 15 | 20 | |
| 16 | 11 | |
| 17 | 24 | |
| 18 | 13 | |
| 19 | 50 | |
| 20 | 3 |
About Toshio Kamei
Toshio Kamei is a scholar working on Toxicology, Biochemistry and Pharmacology, having authored 27 papers that have together received 603 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (6 papers), Steroid Chemistry and Biochemistry (6 papers) and Lipoproteins and Cardiovascular Health (5 papers). The work is most often cited by research in Pharmacology (86 citations), Analytical Chemistry (94 citations) and Biochemistry (48 citations). Toshio Kamei has collaborated with scholars based in Japan, United Kingdom and Bulgaria. Frequent co-authors include SHOSHIRO NAKAMURA, MEIKI MATSUZAKI, Yusuke Hidaka, Hajime Suzuki, Akiko Satô, Keiko Watanabe, Kazuhiro Taguchi, Ken‐ichi Hara, Takéo Takahashi and Masahiko Kobayashi. Their work appears in journals such as Journal of Clinical Investigation, Journal of Medicinal Chemistry and Biochemical Pharmacology.
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.