Kazuhiro Irie
- Molecular Biology top 2%
- Physiology top 1%
- Pharmacology top 0.5%
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 1%
- Co-authors
- Kazuma MurakamiHajime OhigashiTakahiko ShimizuTakuji ShirasawaYu NakagawaYuichi MasudaMasaya NagaoRyo C. Yanagita
- Topics
- Alzheimer's disease research and treatments (69 papers)Microbial Natural Products and Biosynthesis (38 papers)Protein Kinase Regulation and GTPase Signaling (34 papers)
- Cited by
- PharmacologyPhysiologyBiotechnology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesTunisia
In The Last Decade
Kazuhiro Irie
242 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 2.9k
- Physiology 2.1k
- Pharmacology 1.4k
- Organic Chemistry 716
- Computational Theory and Mathematics 568
Countries citing papers authored by Kazuhiro Irie
This map shows the geographic impact of Kazuhiro Irie'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 Kazuhiro Irie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiro Irie more than expected).
Fields of papers citing papers by Kazuhiro Irie
This network shows the impact of papers produced by Kazuhiro Irie. 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 Kazuhiro Irie. The network helps show where Kazuhiro Irie may publish in the future.
Co-authorship network of co-authors of Kazuhiro Irie
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiro Irie. A scholar is included among the top collaborators of Kazuhiro Irie 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 Kazuhiro Irie. Kazuhiro Irie 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 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 80 | |
| 7 | 45 | |
| 8 | 20 | |
| 9 | 7 | |
| 10 | 17 | |
| 11 | 2 | |
| 12 | 197 | |
| 13 | 46 | |
| 14 | 20 | |
| 15 | 11 | |
| 16 | 9 | |
| 17 | 11 | |
| 18 | Selective Binding of Tumor Promoters to the Novel PKC C1B Domains | 1 |
| 19 | 4 | |
| 20 | New Teleocidin-related Metabolites from Streptoverticillium blastmyceticum Producing Tumor-promoting Indole Alkaloids(Organic Chemistry) | 1 |
About Kazuhiro Irie
Kazuhiro Irie is a scholar working on Pharmacology, Pharmacology and Toxicology, having authored 250 papers that have together received 5.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (69 papers), Microbial Natural Products and Biosynthesis (38 papers) and Protein Kinase Regulation and GTPase Signaling (34 papers). The work is most often cited by research in Pharmacology (1.4k citations), Physiology (2.1k citations) and Biotechnology (360 citations). Kazuhiro Irie has collaborated with scholars based in Japan, United States and Tunisia. Frequent co-authors include Kazuma Murakami, Hajime Ohigashi, Takahiko Shimizu, Takuji Shirasawa, Yu Nakagawa, Yuichi Masuda, Masaya Nagao, Ryo C. Yanagita, Mayumi Shindo and Akira Morimoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.