Katsuhiro Yamano
- Pharmacology top 2%
- Oncology
- Pediatrics, Perinatology and Child Health top 10%
- Infectious Diseases
- Molecular Biology
- Co-authors
- Yasufumi SawadaKoujirou YamamotoHajime KotakiHirotami MatsuoTatsuji IgaHisakazu OhtaniHitomi TakanagaTakashi Tsuruo
- Topics
- Drug Transport and Resistance Mechanisms (12 papers)Pharmacogenetics and Drug Metabolism (12 papers)Drug-Induced Hepatotoxicity and Protection (6 papers)
- Journals
- BiochemistryAntimicrobial Agents and ChemotherapyJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- JapanUnited Kingdom
In The Last Decade
Katsuhiro Yamano
17 papers receiving 380 citations
Peers
Comparison fields: 5 of 70
- Pharmacology 233
- Oncology 205
- Pediatrics, Perinatology and Child Health 95
- Infectious Diseases 72
- Molecular Biology 66
Countries citing papers authored by Katsuhiro Yamano
This map shows the geographic impact of Katsuhiro Yamano'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 Katsuhiro Yamano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuhiro Yamano more than expected).
Fields of papers citing papers by Katsuhiro Yamano
This network shows the impact of papers produced by Katsuhiro Yamano. 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 Katsuhiro Yamano. The network helps show where Katsuhiro Yamano may publish in the future.
Co-authorship network of co-authors of Katsuhiro Yamano
This figure shows the co-authorship network connecting the top 25 collaborators of Katsuhiro Yamano. A scholar is included among the top collaborators of Katsuhiro Yamano 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 Katsuhiro Yamano. Katsuhiro Yamano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 22 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 18 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | Prediction of midazolam-CYP3A inhibitors interaction in the human liver from in vivo/in vitro absorption, distribution, and metabolism data. | 66 |
| 12 | 32 | |
| 13 | 28 | |
| 14 | 59 | |
| 15 | 87 | |
| 16 | Quantitative prediction of the interaction of midazolam and histamine H2 receptor antagonists in rats. | 15 |
| 17 | 11 |
About Katsuhiro Yamano
Katsuhiro Yamano is a scholar working on Pharmacology, Transplantation and Oncology, having authored 17 papers that have together received 391 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (12 papers), Pharmacogenetics and Drug Metabolism (12 papers) and Drug-Induced Hepatotoxicity and Protection (6 papers). The work is most often cited by research in Pharmacology (233 citations), Oncology (205 citations) and Pediatrics, Perinatology and Child Health (95 citations). Katsuhiro Yamano has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Yasufumi Sawada, Koujirou Yamamoto, Hajime Kotaki, Hirotami Matsuo, Tatsuji Iga, Hisakazu Ohtani, Hitomi Takanaga, Takashi Tsuruo, Hitoshi Ishizuka and Mikihiko Naito. Their work appears in journals such as Biochemistry, Antimicrobial Agents and Chemotherapy and Journal of Pharmacology and Experimental Therapeutics.
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.