Junko Ushiki

693 total citations
14 papers, 564 citations indexed

About

Junko Ushiki is a scholar working on Oncology, Molecular Biology and Pharmacology. According to data from OpenAlex, Junko Ushiki has authored 14 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 5 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Junko Ushiki's work include Drug Transport and Resistance Mechanisms (6 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Pharmacological Effects and Toxicity Studies (3 papers). Junko Ushiki is often cited by papers focused on Drug Transport and Resistance Mechanisms (6 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Pharmacological Effects and Toxicity Studies (3 papers). Junko Ushiki collaborates with scholars based in Japan and Singapore. Junko Ushiki's co-authors include Eiichi Fuse, Hiroyuki Kusuhara, Yuichi Sugiyama, Hiroshi Kodaira, Takuya Fujita, Shoji Oda, Kenji Matsuno, Yuji Nomoto, Jin‐Chen Yu and Michio Ichimura and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and European Journal of Pharmacology.

In The Last Decade

Junko Ushiki

14 papers receiving 538 citations

Peers

Junko Ushiki

ONCOL

PPCH

PHARM

Yoshiyuki Tenda Japan

Takafumi Komori Japan

Snezana Mirkov United States

Mariangela Cantore Italy

Fujiko Konno Japan

William Neway United States

Naina Patel United Kingdom

Sangeeta Raje United States

Denggao Yao United Kingdom

David F. Gebhard United States

Yoshiyuki Tenda Japan

Junko Ushiki

308 ×0.9

ONCOL

208 ×1.3

PPCH

129 ×0.8

64 ×0.9

35 ×0.5

PHARM

Citations per year, relative to Junko Ushiki Junko Ushiki (= 1×) peers Yoshiyuki Tenda

Countries citing papers authored by Junko Ushiki

Since Specialization

Citations

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

Fields of papers citing papers by Junko Ushiki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Ushiki

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

All Works

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14 of 14 papers shown

Maéda, Hiroshi, Kazuhiro Fujita, Junko Ushiki, et al.. (2018). An iminium ion metabolite hampers the production of the pharmacologically active metabolite of a multikinase inhibitor KW‐2449 in primates: irreversible inhibition of aldehyde oxidase and covalent binding with endogenous proteins. Biopharmaceutics & Drug Disposition. 39(3). 164–174. 6 indexed citations

Kodaira, Hiroshi, Hiroyuki Kusuhara, Eiichi Fuse, Junko Ushiki, & Yuichi Sugiyama. (2014). Quantitative Investigation of the Brain-to-Cerebrospinal Fluid Unbound Drug Concentration Ratio under Steady-State Conditions in Rats Using a Pharmacokinetic Model and Scaling Factors for Active Efflux Transporters. Drug Metabolism and Disposition. 42(6). 983–989. 18 indexed citations

Maéda, Hiroshi, Kazuhiro Fujita, Hiroyuki Kobayashi, et al.. (2012). Novel LC-MS/MS Method for Simultaneous Quantification of KW-7158, a New Drug Candidate for Urinary Incontinence and Bladder Hyperactivity, and its Metabolites in Rat Plasma: A Pharmacokinetic Study in Male and Female Rats. Arzneimittelforschung. 62(5). 213–221. 2 indexed citations

Kodaira, Hiroshi, Hiroyuki Kusuhara, Takuya Fujita, et al.. (2011). Quantitative Evaluation of the Impact of Active Efflux by P-Glycoprotein and Breast Cancer Resistance Protein at the Blood-Brain Barrier on the Predictability of the Unbound Concentrations of Drugs in the Brain Using Cerebrospinal Fluid Concentration as a Surrogate. Journal of Pharmacology and Experimental Therapeutics. 339(3). 935–944. 106 indexed citations

Hasegawa, Maki, Harunobu Tahara, Ryo Inoue, et al.. (2011). Investigation of Drug-Drug Interactions Caused by Human Pregnane X Receptor-Mediated Induction of CYP3A4 and CYP2C Subfamilies in Chimeric Mice with a Humanized Liver. Drug Metabolism and Disposition. 40(3). 474–480. 39 indexed citations

Kodaira, Hiroshi, Hiroyuki Kusuhara, Junko Ushiki, Eiichi Fuse, & Yuichi Sugiyama. (2010). Kinetic Analysis of the Cooperation of P-Glycoprotein (P-gp/Abcb1) and Breast Cancer Resistance Protein (Bcrp/Abcg2) in Limiting the Brain and Testis Penetration of Erlotinib, Flavopiridol, and Mitoxantrone. Journal of Pharmacology and Experimental Therapeutics. 333(3). 788–796. 218 indexed citations

Sugiyama, Yuka, et al.. (2007). Effect of Benidipine on Simvastatin Metabolism in Human Liver Microsomes. Drug Metabolism and Pharmacokinetics. 22(3). 199–205. 4 indexed citations

Nakajima, Takao, et al.. (2004). Involvement of the active metabolites in the inhibitory activity of K579 on rat plasma dipeptidyl peptidase IV. European Journal of Pharmacology. 505(1-3). 237–241. 7 indexed citations

Hasegawa, Kazuhide, et al.. (2003). L-Ascorbic Acid Stimulates Expression of Smooth Muscle-Specific Markers in Smooth Muscle Cells both In Vitro and In Vivo. Journal of Cardiovascular Pharmacology. 42(6). 745–751. 39 indexed citations

10.

Matsuno, Kenji, Junko Ushiki, Michio Ichimura, et al.. (2003). Potent and Selective Inhibitors of Platelet-Derived Growth Factor Receptor Phosphorylation. 3. Replacement of Quinazoline Moiety and Improvement of Metabolic Polymorphism of 4-[4-(N-Substituted (thio)carbamoyl)-1-piperazinyl]-6,7-dimethoxyquinazoline Derivatives. Journal of Medicinal Chemistry. 46(23). 4910–4925. 36 indexed citations

11.

Matsuno, Kenji, Takao Nakajima, Michio Ichimura, et al.. (2002). Potent and Selective Inhibitors of PDGF Receptor Phosphorylation. 2. Synthesis, Structure Activity Relationship, Improvement of Aqueous Solubility, and Biological Effects of 4-[4-(N-Substituted (thio)carbamoyl)-1-piperazinyl]-6,7-dimethoxyquinazoline Derivatives. Journal of Medicinal Chemistry. 45(20). 4513–4523. 14 indexed citations

12.

Matsuno, Kenji, Michio Ichimura, Takao Nakajima, et al.. (2002). Potent and Selective Inhibitors of Platelet-Derived Growth Factor Receptor Phosphorylation. 1. Synthesis, Structure−Activity Relationship, and Biological Effects of a New Class of Quinazoline Derivatives. Journal of Medicinal Chemistry. 45(14). 3057–3066. 42 indexed citations

13.

Otsuka, Yuichi, et al.. (1998). Purification and properties of rabbit muscle proteasome, and its effect on myofibrillar structure. Meat Science. 49(4). 365–378. 23 indexed citations

14.

Kobayashi, Satoshi, Junko Ushiki, Motomichi Kono, et al.. (1993). Disposition and metabolism of KW-2149, a novel anticancer agent. Cancer Chemotherapy and Pharmacology. 32(2). 143–150. 10 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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