Ryuji Kato
- Molecular Biology top 5%
- Pharmacology top 0.1%
- Oncology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cancer Research top 5%
- Co-authors
- P. VassanelliE. ChiesaraYasushi YamazoeTetsuya KamatakiYoshio IjiriG. FrontinoJack UetrechtShogo Yamamoto
- Topics
- Pharmacogenetics and Drug Metabolism (28 papers)Drug-Induced Hepatotoxicity and Protection (12 papers)Drug Transport and Resistance Mechanisms (11 papers)
In The Last Decade
Ryuji Kato
125 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.4k
- Pharmacology 1.2k
- Oncology 472
- Cellular and Molecular Neuroscience 400
- Cancer Research 376
Countries citing papers authored by Ryuji Kato
This map shows the geographic impact of Ryuji Kato'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 Ryuji Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryuji Kato more than expected).
Fields of papers citing papers by Ryuji Kato
This network shows the impact of papers produced by Ryuji Kato. 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 Ryuji Kato. The network helps show where Ryuji Kato may publish in the future.
Co-authorship network of co-authors of Ryuji Kato
This figure shows the co-authorship network connecting the top 25 collaborators of Ryuji Kato. A scholar is included among the top collaborators of Ryuji Kato 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 Ryuji Kato. Ryuji Kato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 14 | |
| 4 | 14 | |
| 5 | 23 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | Exhaustive analysis of peptides derived from soybean protein with bile acids binding ability and efficient modification of VAWWMY activity by use of the peptide array. | 1 |
| 10 | 2 | |
| 11 | 16 | |
| 12 | 24 | |
| 13 | 29 | |
| 14 | 6 | |
| 15 | 15 | |
| 16 | Pharmacogenetics and polymorphism of human P-450 which activates and detoxicates xenobiotics and carcinogens. | 3 |
| 17 | 65 | |
| 18 | 12 | |
| 19 | Reduction of tertiary amine N-oxides by cytochrome P-450. Mechanism of the stimulatory effect of flavins and methyl viologen. | 17 |
| 20 | 7 |
About Ryuji Kato
Ryuji Kato is a scholar working on Pharmacology, Biological Psychiatry and Pharmaceutical Science, having authored 127 papers that have together received 3.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (28 papers), Drug-Induced Hepatotoxicity and Protection (12 papers) and Drug Transport and Resistance Mechanisms (11 papers). The work is most often cited by research in Pharmacology (1.2k citations), Biochemistry (259 citations) and Clinical Biochemistry (181 citations). Ryuji Kato has collaborated with scholars based in Japan, Italy and Canada. Frequent co-authors include P. Vassanelli, E. Chiesara, Yasushi Yamazoe, Tetsuya Kamataki, Yoshio Ijiri, G. Frontino, Jack Uetrecht, Shogo Yamamoto, Kazuhiko Tanaka and Toshio Nakaki. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.