Miho Kazui
- Cardiology and Cardiovascular Medicine top 2%
- Pharmacology top 5%
- Pharmacology top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Co-authors
- Atsushi KuriharaKatsunobu HagiharaNagy A. FaridToshihiko IkedaOsamu OkazakiYumi NishiyaTomoko IshizukaSteven Wrighton
- Topics
- Antiplatelet Therapy and Cardiovascular Diseases (11 papers)Pharmacogenetics and Drug Metabolism (9 papers)Inflammatory mediators and NSAID effects (9 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Miho Kazui
25 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Cardiology and Cardiovascular Medicine 789
- Pharmacology 346
- Pharmacology 293
- Endocrinology, Diabetes and Metabolism 279
- Surgery 268
Countries citing papers authored by Miho Kazui
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 24 | |
| 6 | 8 | |
| 7 | 14 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | 23 | |
| 13 | 97 | |
| 14 | 30 | |
| 15 | Identification of the Human Cytochrome P450 Enzymes Involved in the Two Oxidative Steps in the Bioactivation of Clopidogrel to Its Pharmacologically Active Metabolitebreakdown → | 628 |
| 16 | Abstract 4020: A Possible Mechanism of Poorer and more Variable Response to Clopidogrel than Prasugrel | 3 |
| 17 | 105 | |
| 18 | 69 | |
| 19 | 33 | |
| 20 | 6 |
About Miho Kazui
Miho Kazui is a scholar working on Pharmacology, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (11 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Inflammatory mediators and NSAID effects (9 papers). The work is most often cited by research in Internal Medicine (144 citations), Cardiology and Cardiovascular Medicine (789 citations) and Pharmacology (293 citations). Miho Kazui has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Atsushi Kurihara, Katsunobu Hagihara, Nagy A. Farid, Toshihiko Ikeda, Osamu Okazaki, Yumi Nishiya, Tomoko Ishizuka, Steven Wrighton, G. Douglas Ponsler and Eric T. Williams. Their work appears in journals such as Circulation, Drug Metabolism and Disposition and Bioorganic & Medicinal Chemistry Letters.
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.