Tetsuro Ikekawa
- Pharmacology top 1%
- Molecular Biology
- Plant Science top 5%
- Pharmacology top 2%
- Complementary and alternative medicine top 2%
- Co-authors
- Fumiko FukuokaNobuaki UeharaMiyako NakanishiTsunetomo MatsuzawaGoro ChiharaYoshiaki IkedaYûko YoshiokaYuko Maeda
- Topics
- Fungal Biology and Applications (27 papers)Phytochemistry and Bioactivity Studies (10 papers)Carbohydrate Chemistry and Synthesis (8 papers)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
Tetsuro Ikekawa
61 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Pharmacology 760
- Molecular Biology 518
- Plant Science 406
- Pharmacology 223
- Complementary and alternative medicine 175
Countries citing papers authored by Tetsuro Ikekawa
This map shows the geographic impact of Tetsuro Ikekawa'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 Tetsuro Ikekawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuro Ikekawa more than expected).
Fields of papers citing papers by Tetsuro Ikekawa
This network shows the impact of papers produced by Tetsuro Ikekawa. 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 Tetsuro Ikekawa. The network helps show where Tetsuro Ikekawa may publish in the future.
Co-authorship network of co-authors of Tetsuro Ikekawa
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuro Ikekawa. A scholar is included among the top collaborators of Tetsuro Ikekawa 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 Tetsuro Ikekawa. Tetsuro Ikekawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Antitumor Activity of Extract of Edible Mushrooms (EEM), Flammulina velutipes and Hypsizigus marmoreus in Mice | 0 |
| 3 | 83 | |
| 4 | 23 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 26 | |
| 8 | 60 | |
| 9 | 46 | |
| 10 | Studies on antitumor Chinese medicines (I) on the antitumor activity of Wang Bu Liu Xing (seed of Vaccaria segetalis (neck.) Garcke) | 1 |
| 11 | 43 | |
| 12 | 0 | |
| 13 | Proflamin, a new antitumor agent: preparation, physicochemical properties and antitumor activity. | 26 |
| 14 | 13 | |
| 15 | 4 | |
| 16 | 7 | |
| 17 | 27 | |
| 18 | 6 | |
| 19 | 6 | |
| 20 | 13 |
About Tetsuro Ikekawa
Tetsuro Ikekawa is a scholar working on Pharmacology, Pharmacology and Complementary and alternative medicine, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fungal Biology and Applications (27 papers), Phytochemistry and Bioactivity Studies (10 papers) and Carbohydrate Chemistry and Synthesis (8 papers). The work is most often cited by research in Pharmacology (760 citations), Pharmacology (223 citations) and Complementary and alternative medicine (175 citations). Tetsuro Ikekawa has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Fumiko Fukuoka, Nobuaki Uehara, Miyako Nakanishi, Tsunetomo Matsuzawa, Goro Chihara, Yoshiaki Ikeda, Yûko Yoshioka, Yuko Maeda, Hirofumi Maruyama and Michio Takido. Their work appears in journals such as Journal of Chromatography A, Phytochemistry and Tetrahedron 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.