Yasuhiro Uno

3.0k total citations
187 papers, 2.6k citations indexed

About

Yasuhiro Uno is a scholar working on Pharmacology, Oncology and Molecular Biology. According to data from OpenAlex, Yasuhiro Uno has authored 187 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 154 papers in Pharmacology, 123 papers in Oncology and 34 papers in Molecular Biology. Recurrent topics in Yasuhiro Uno's work include Pharmacogenetics and Drug Metabolism (153 papers), Drug Transport and Resistance Mechanisms (123 papers) and Drug-Induced Hepatotoxicity and Protection (35 papers). Yasuhiro Uno is often cited by papers focused on Pharmacogenetics and Drug Metabolism (153 papers), Drug Transport and Resistance Mechanisms (123 papers) and Drug-Induced Hepatotoxicity and Protection (35 papers). Yasuhiro Uno collaborates with scholars based in Japan, United States and China. Yasuhiro Uno's co-authors include Hiroshi Yamazaki, Shotaro Uehara, Norie Murayama, Masahiro Utoh, Makiko Shimizu, Kazuhide Iwasaki, Erika Sasaki, Takashi Inoue, Ryoichi Nagata and Go Kito and has published in prestigious journals such as PLoS ONE, FEBS Letters and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Yasuhiro Uno

181 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yasuhiro Uno Japan 27 1.9k 1.4k 626 328 297 187 2.6k
Martine Daujat‐Chavanieu France 30 1.4k 0.8× 825 0.6× 865 1.4× 211 0.6× 166 0.6× 62 3.0k
Theodore E. Liston United States 17 636 0.3× 526 0.4× 629 1.0× 98 0.3× 146 0.5× 29 2.0k
Diane R. Umbenhauer United States 22 622 0.3× 852 0.6× 756 1.2× 134 0.4× 453 1.5× 29 2.0k
Qing-Yu Zhang United States 25 671 0.4× 345 0.2× 642 1.0× 137 0.4× 60 0.2× 47 1.6k
Thomas J. Bucci United States 33 718 0.4× 345 0.2× 1.1k 1.7× 115 0.4× 121 0.4× 92 3.6k
Junichiro Sonoda United States 28 513 0.3× 759 0.5× 1.9k 3.1× 79 0.2× 116 0.4× 49 3.6k
Gordon C. Ibeanu United States 17 523 0.3× 322 0.2× 572 0.9× 80 0.2× 93 0.3× 40 1.3k
Christian Helvig United States 18 560 0.3× 168 0.1× 885 1.4× 269 0.8× 52 0.2× 27 1.8k
Yoichi Sakakibara Japan 27 558 0.3× 331 0.2× 1.7k 2.7× 202 0.6× 111 0.4× 150 3.8k
G. Warhurst United Kingdom 26 253 0.1× 726 0.5× 765 1.2× 48 0.1× 345 1.2× 49 2.0k

Countries citing papers authored by Yasuhiro Uno

Since Specialization
Citations

This map shows the geographic impact of Yasuhiro Uno'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 Yasuhiro Uno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuhiro Uno more than expected).

Fields of papers citing papers by Yasuhiro Uno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yasuhiro Uno. 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 Yasuhiro Uno. The network helps show where Yasuhiro Uno may publish in the future.

Co-authorship network of co-authors of Yasuhiro Uno

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiro Uno. A scholar is included among the top collaborators of Yasuhiro Uno 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 Yasuhiro Uno. Yasuhiro Uno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Uno, Yasuhiro, Isao Kawabata, Kyoko Tsukiyama–Kohara, et al.. (2025). Exploration of functional cytochrome P450 4F enzymes in liver, intestine, and kidney from dogs, cats, pigs, and tree shrews and comparison of their metabolic capacities with human P450 4F2 and 4F12. Biochemical Pharmacology. 236. 116894–116894. 1 indexed citations
2.
Uno, Yasuhiro, et al.. (2025). Novel dog hepatic cytochrome P450 3A293 oxidizes endogenous testosterone and estradiol. Biochemical Pharmacology. 235. 116846–116846. 1 indexed citations
3.
Uno, Yasuhiro, Koya Fukunaga, Norie Murayama, et al.. (2025). Genetic variants in dog cytochrome P450 2B6 and their relevance to interindividual variability of oxidations of probe drug propofol. Drug Metabolism and Disposition. 53(12). 100189–100189.
4.
Uno, Yasuhiro, Makiko Shimizu, & Hiroshi Yamazaki. (2024). A variety of cytochrome P450 enzymes and flavin-containing monooxygenases in dogs and pigs commonly used as preclinical animal models. Biochemical Pharmacology. 228. 116124–116124. 5 indexed citations
5.
Uno, Yasuhiro, et al.. (2024). Molecular and functional characterization of flavin-containing monooxygenases (FMO1–6) in tree shrews. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 277. 109835–109835. 4 indexed citations
6.
8.
Uno, Yasuhiro, Shotaro Uehara, Norie Murayama, Makiko Shimizu, & Hiroshi Yamazaki. (2020). Expression of functional sulfotransferases (SULT) 1A1, 1A3, 1B1, 1C2, 1E1, and 2A1 in common marmosets. Biochemical Pharmacology. 180. 114189–114189. 8 indexed citations
10.
Uehara, Shotaro, et al.. (2018). Survey of Drug Oxidation Activities in Hepatic and Intestinal Microsomes of Individual Common Marmosets, a New Nonhuman Primate Animal Model. Current Drug Metabolism. 20(2). 103–113. 7 indexed citations
11.
Iwasaki, Kazuhide, Yasuhiro Uno, Masahiro Utoh, & Hiroshi Yamazaki. (2018). Importance of cynomolgus monkeys in development of monoclonal antibody drugs. Drug Metabolism and Pharmacokinetics. 34(1). 55–63. 27 indexed citations
12.
Uehara, Shotaro, Yasuhiro Uno, Takashi Inoue, et al.. (2016). Strong Induction of Cytochrome P450 1A/3A, But not P450 2B, in Cultured Hepatocytes from Common Marmosets and Cynomolgus Monkeys by Typical Human P450 Inducing Agents. Drug Metabolism Letters. 10(4). 244–253. 13 indexed citations
13.
Uno, Yasuhiro, Shotaro Uehara, & Hiroshi Yamazaki. (2016). Utility of non-human primates in drug development: Comparison of non-human primate and human drug-metabolizing cytochrome P450 enzymes. Biochemical Pharmacology. 121. 1–7. 65 indexed citations
14.
Utoh, Masahiro, Takahiro Yoshikawa, Yoshiharu Hayashi, et al.. (2015). Slow R-warfarin 7-hydroxylation mediated by P450 2C19 genetic variants in cynomolgus monkeys in vivo. Biochemical Pharmacology. 95(2). 110–114. 21 indexed citations
15.
Uno, Yasuhiro, et al.. (2014). CYP2C19 polymorphisms account for inter-individual variability of drug metabolism in cynomolgus macaques. Biochemical Pharmacology. 91(2). 242–248. 31 indexed citations
16.
Utoh, Masahiro, Norie Murayama, Yasuhiro Uno, et al.. (2013). Monkey liver cytochrome P450 2C9 is involved in caffeine 7-N-demethylation to form theophylline. Xenobiotica. 43(12). 1037–1042. 12 indexed citations
17.
Hosoi, Yoshio, Yasuhiro Uno, Norie Murayama, et al.. (2012). Monkey liver cytochrome P450 2C19 is involved in R- and S-warfarin 7-hydroxylation. Biochemical Pharmacology. 84(12). 1691–1695. 18 indexed citations
18.
Uno, Yasuhiro, et al.. (2011). Metabolism of P450 Probe Substrates by Cynomolgus Monkey CYP2C76. Basic & Clinical Pharmacology & Toxicology. 109(4). 315–318. 13 indexed citations
19.
Uno, Yasuhiro, Shotaro Uehara, Norie Murayama, & Hiroshi Yamazaki. (2010). CYP2G2, Pseudogenized in Human, Is Expressed in Nasal Mucosa of Cynomolgus Monkey and Encodes a Functional Drug-Metabolizing Enzyme. Drug Metabolism and Disposition. 39(4). 717–723. 13 indexed citations
20.
Uno, Yasuhiro, et al.. (2008). Sex-Related Differences in the Expression of mfGSTA2, a Novel GST Identified in Cynomolgus Monkey (Macaca fascicularis). Drug Metabolism and Disposition. 37(3). 453–456. 7 indexed citations

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.

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