Koichi Metori
- Molecular Biology
- Plant Science
- Pharmacology top 10%
- Complementary and alternative medicine top 5%
- Pharmacology top 10%
- Co-authors
- Katsuya KoikeQing‐Ming CheYanmei LiYumiko KimuraToshihiro AkihisaTakashi SuzukiToshiaki TanakaMasao Hirotani
- Topics
- Phytochemical and Pharmacological Studies (5 papers)Neuroscience and Neuropharmacology Research (5 papers)Molecular Sensors and Ion Detection (3 papers)
In The Last Decade
Koichi Metori
31 papers receiving 453 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 226
- Plant Science 122
- Pharmacology 99
- Complementary and alternative medicine 75
- Pharmacology 61
Countries citing papers authored by Koichi Metori
This map shows the geographic impact of Koichi Metori'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 Koichi Metori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Metori more than expected).
Fields of papers citing papers by Koichi Metori
This network shows the impact of papers produced by Koichi Metori. 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 Koichi Metori. The network helps show where Koichi Metori may publish in the future.
Co-authorship network of co-authors of Koichi Metori
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Metori. A scholar is included among the top collaborators of Koichi Metori 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 Koichi Metori. Koichi Metori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 23 | |
| 3 | 19 | |
| 4 | 57 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 19 | |
| 10 | 10 | |
| 11 | 38 | |
| 12 | Promotive Effect of Eucommia Leaf Extract on Collagen Synthesis in Rats | 2 |
| 13 | 56 | |
| 14 | 29 | |
| 15 | Effects of du-zhong [Eucommia ulmoides] leaf extract on plasma and hepatic lipids in rats fed on a high fat plus high cholesterol diet | 1 |
| 16 | 18 | |
| 17 | 28 | |
| 18 | 10 | |
| 19 | 11 | |
| 20 | Protection of the rat myocardium from ischemic injury by dietary lamprey oil. | 10 |
About Koichi Metori
Koichi Metori is a scholar working on Complementary and alternative medicine, Pharmacology and Biochemistry, having authored 31 papers that have together received 482 indexed citations. Recurring topics across this work include Phytochemical and Pharmacological Studies (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Molecular Sensors and Ion Detection (3 papers). The work is most often cited by research in Complementary and alternative medicine (75 citations), Biochemistry (50 citations) and Pharmacology (61 citations). Koichi Metori has collaborated with scholars based in Japan, Hungary and China. Frequent co-authors include Katsuya Koike, Qing‐Ming Che, Yanmei Li, Yumiko Kimura, Toshihiro Akihisa, Takashi Suzuki, Toshiaki Tanaka, Masao Hirotani, Kensuke Watanabe and Motohiko Ukiya. Their work appears in journals such as International Journal of Pharmaceutics, Cancer Letters and European Journal of Pharmaceutical Sciences.
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.