Miho Kazui

1.5k total citations · 1 hit paper
26 papers, 1.2k citations indexed

About

Miho Kazui is a scholar working on Cardiology and Cardiovascular Medicine, Pharmacology and Pharmacology. According to data from OpenAlex, Miho Kazui has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 10 papers in Pharmacology and 10 papers in Pharmacology. Recurrent topics in Miho Kazui's work include Antiplatelet Therapy and Cardiovascular Diseases (11 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Inflammatory mediators and NSAID effects (9 papers). Miho Kazui is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (11 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Inflammatory mediators and NSAID effects (9 papers). Miho Kazui collaborates with scholars based in Japan, United States and Germany. Miho Kazui's co-authors include Atsushi Kurihara, Katsunobu Hagihara, Nagy A. Farid, Toshihiko Ikeda, Osamu Okazaki, Yumi Nishiya, Tomoko Ishizuka, Eric T. Williams, Steven Wrighton and Kenneth J. Ruterbories and has published in prestigious journals such as Circulation, Drug Metabolism and Disposition and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Miho Kazui

25 papers receiving 1.2k citations

Hit Papers

Identification of the Hum... 2009 2026 2014 2020 2009 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identification of the Human Cytochrome P450 Enzymes Involved in the Two Oxidative Steps in the Bioactivation of Clopidogrel to Its Pharmacologically Active Metabolite
    2009 628 citations Miho Kazui, Yumi Nishiya et al. Drug Metabolism and Disposition profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miho Kazui Japan 11 789 346 293 279 268 26 1.2k
Yumi Nishiya Japan 9 588 0.7× 256 0.7× 263 0.9× 228 0.8× 208 0.8× 23 929
C. Steven Ernest United States 22 1.4k 1.7× 439 1.3× 328 1.1× 452 1.6× 662 2.5× 41 2.1k
Ming Chang United States 16 391 0.5× 141 0.4× 317 1.1× 254 0.9× 256 1.0× 36 1.3k
Hideo Naganuma Japan 21 1.4k 1.8× 356 1.0× 140 0.5× 159 0.6× 742 2.8× 41 2.1k
Michael Pacanowski United States 21 290 0.4× 219 0.6× 319 1.1× 190 0.7× 349 1.3× 66 1.3k
Christian M. Hackeng Netherlands 17 1.7k 2.2× 261 0.8× 122 0.4× 307 1.1× 783 2.9× 40 2.0k
Heleen Bouman Netherlands 19 1.9k 2.4× 377 1.1× 167 0.6× 453 1.6× 899 3.4× 31 2.2k
Neville F. Ford United States 17 549 0.7× 133 0.4× 107 0.4× 227 0.8× 247 0.9× 32 954
Tom Schalekamp Netherlands 17 325 0.4× 258 0.7× 1.0k 3.5× 179 0.6× 101 0.4× 28 1.7k
Aleksi Tornio Finland 25 376 0.5× 310 0.9× 883 3.0× 281 1.0× 307 1.1× 68 1.9k

Countries citing papers authored by Miho Kazui

Since Specialization
Citations

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

Fields of papers citing papers by Miho Kazui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miho Kazui

This figure shows the co-authorship network connecting the top 25 collaborators of Miho Kazui. A scholar is included among the top collaborators of Miho Kazui 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 Miho Kazui. Miho Kazui 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.
Watanabe, Akiko, Noriko Okudaira, Miho Kazui, et al.. (2025). Physiologically Based Pharmacokinetic Modeling of Valemetostat to Inform Dose Recommendations When Coadministered With CYP3A /P‐gp Modulators. Clinical and Translational Science. 18(10). e70333–e70333.
2.
Tachibana, Masaya, Miho Kazui, Tomoko Ikeda, et al.. (2025). Pharmacokinetics, metabolism, and excretion of [14C]-valemetostat in healthy male participants, and in vitro plasma protein binding. Cancer Chemotherapy and Pharmacology. 95(1). 54–54. 4 indexed citations
3.
Asano, Daigo, Hamim Zahir, Hideyuki Shiozawa, et al.. (2021). CYP2C8-Mediated Formation of a Human Disproportionate Metabolite of the Selective NaV1.7 Inhibitor DS-1971a, a Mixed Cytochrome P450 and Aldehyde Oxidase Substrate. Drug Metabolism and Disposition. 50(3). 235–242. 5 indexed citations
4.
Nishiya, Yumi, et al.. (2019). Identification of non-P450 enzymes involved in the metabolism of new drugs: Their significance in drug interaction evaluation and prodrug disposition. Drug Metabolism and Pharmacokinetics. 35(1). 45–55. 2 indexed citations
5.
Nagata, Tsutomu, et al.. (2018). Discovery of a bicyclo[4.3.0]nonane derivative DS88790512 as a potent, selective, and orally bioavailable blocker of transient receptor potential canonical 6 (TRPC6). Bioorganic & Medicinal Chemistry Letters. 28(12). 2222–2227. 24 indexed citations
6.
Kazui, Miho, et al.. (2015). Human Intestinal Raf Kinase Inhibitor Protein (RKIP) Catalyzes Prasugrel as a Bioactivation Hydrolase. Drug Metabolism and Disposition. 44(1). 115–123. 8 indexed citations
7.
Kazui, Miho, et al.. (2015). Pharmacokinetics of loxoprofen and its active metabolite after dermal application of loxoprofen gel to rats.. PubMed. 70(2). 74–80. 5 indexed citations
8.
Kazui, Miho, et al.. (2014). Absorption, distribution, metabolism and excretion of loxoprofen after dermal application of loxoprofen gel to rats. Xenobiotica. 44(11). 1026–1038. 8 indexed citations
9.
Kazui, Miho, Katsunobu Hagihara, Takashi Izumi, Toshihiko Ikeda, & Atsushi Kurihara. (2014). Hepatic Microsomal Thiol Methyltransferase Is Involved in Stereoselective Methylation of Pharmacologically Active Metabolite of Prasugrel. Drug Metabolism and Disposition. 42(7). 1138–1145. 14 indexed citations
10.
Hagihara, Katsunobu, Miho Kazui, Atsushi Kurihara, Toshihiko Ikeda, & Takashi Izumi. (2012). Glutaredoxin Is Involved in the Formation of the Pharmacologically Active Metabolite of Clopidogrel from Its GSH Conjugate. Drug Metabolism and Disposition. 40(9). 1854–1859. 7 indexed citations
11.
Hagihara, Katsunobu, Miho Kazui, Atsushi Kurihara, et al.. (2010). Biotransformation of Prasugrel, a Novel Thienopyridine Antiplatelet Agent, to the Pharmacologically Active Metabolite. Drug Metabolism and Disposition. 38(6). 898–904. 23 indexed citations
12.
Hagihara, Katsunobu, et al.. (2010). The Intestine As an Important Contributor to Prasugrel Active Metabolite Formation In Vivo. Drug Metabolism and Disposition. 39(4). 565–570. 9 indexed citations
13.
Hagihara, Katsunobu, Miho Kazui, Atsushi Kurihara, Kazuishi Kubota, & Toshihiko Ikeda. (2010). Glutaredoxin and Thioredoxin Can Be Involved in Producing the Pharmacologically Active Metabolite of a Thienopyridine Antiplatelet Agent, Prasugrel. Drug Metabolism and Disposition. 39(2). 208–214. 10 indexed citations
14.
Kazui, Miho, Yumi Nishiya, Tomoko Ishizuka, et al.. (2009). Identification of the Human Cytochrome P450 Enzymes Involved in the Two Oxidative Steps in the Bioactivation of Clopidogrel to Its Pharmacologically Active Metabolite. Drug Metabolism and Disposition. 38(1). 92–99. 628 indexed citations breakdown →
15.
Hagihara, Katsunobu, Miho Kazui, Takashi Nanba, et al.. (2009). Comparison of formation of thiolactones and active metabolites of prasugrel and clopidogrel in rats and dogs. Xenobiotica. 39(3). 218–226. 30 indexed citations
16.
Hagihara, Katsunobu, Miho Kazui, Atsushi Kurihara, et al.. (2009). A Possible Mechanism for the Differences in Efficiency and Variability of Active Metabolite Formation from Thienopyridine Antiplatelet Agents, Prasugrel and Clopidogrel. Drug Metabolism and Disposition. 37(11). 2145–2152. 97 indexed citations
17.
Hagihara, Katsunobu, et al.. (2008). Abstract 4020: A Possible Mechanism of Poorer and more Variable Response to Clopidogrel than Prasugrel. Circulation. 118. 3 indexed citations
18.
Williams, Eric T., G. Douglas Ponsler, E.J. Perkins, et al.. (2008). The Biotransformation of Prasugrel, a New Thienopyridine Prodrug, by the Human Carboxylesterases 1 and 2. Drug Metabolism and Disposition. 36(7). 1227–1232. 105 indexed citations
19.
Kazui, Miho, Nobuhiro Kobayashi, Tomoaki Komai, et al.. (2002). Anti-HIV-1 Activities and Pharmacokinetics of New Arylpiperazinyl Fluoroquinolones. Bioorganic & Medicinal Chemistry Letters. 12(5). 739–742. 33 indexed citations
20.
Kobayashi, Nobuhiro, Miho Kazui, & Toshihiko Ikeda. (2000). Rapid, real-time sampling of R-84760 in blood by in vivo microdialysis with tandem mass spectrometry. Journal of Pharmaceutical and Biomedical Analysis. 21(6). 1233–1242. 6 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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