Yukio Kawata
- Molecular Biology
- Plant Science top 10%
- Pharmacology top 10%
- Complementary and alternative medicine top 10%
- Pharmacology
- Co-authors
- Tsuneo NambaMasao HattoriTsuyoshi TomimoriHaruhisa KizuTohru KikuchiYasuhiro TezukaKyoichi KobashiYukinori Miyaichi
- Topics
- Phytochemistry and Biological Activities (5 papers)Natural product bioactivities and synthesis (4 papers)Plant-based Medicinal Research (3 papers)
- Partner nations
- JapanTaiwanUnited Kingdom
In The Last Decade
Yukio Kawata
17 papers receiving 411 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 241
- Plant Science 201
- Pharmacology 75
- Complementary and alternative medicine 58
- Pharmacology 50
Countries citing papers authored by Yukio Kawata
This map shows the geographic impact of Yukio Kawata'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 Yukio Kawata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukio Kawata more than expected).
Fields of papers citing papers by Yukio Kawata
This network shows the impact of papers produced by Yukio Kawata. 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 Yukio Kawata. The network helps show where Yukio Kawata may publish in the future.
Co-authorship network of co-authors of Yukio Kawata
This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Kawata. A scholar is included among the top collaborators of Yukio Kawata 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 Yukio Kawata. Yukio Kawata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 4 | |
| 3 | 31 | |
| 4 | Heterogeneous expression of nonmuscle myosin heavy chain-B in mesangial cells of patients with Gitelman's syndrome. | 1 |
| 5 | Conversion of aconitine lipoaconitine by human intestinal bacteria and their antinociceptive effects in mice | 11 |
| 6 | 31 | |
| 7 | 15 | |
| 8 | 41 | |
| 9 | 39 | |
| 10 | 44 | |
| 11 | 41 | |
| 12 | 24 | |
| 13 | 6 | |
| 14 | 36 | |
| 15 | [Abnormal hemoglobin (Hb Camden) detected by interference in the determination of glycosylated hemoglobin with high performance liquid chromatography]. | 5 |
| 16 | 13 | |
| 17 | 66 |
About Yukio Kawata
Yukio Kawata is a scholar working on Pharmacology, Analytical Chemistry and Plant Science, having authored 17 papers that have together received 425 indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (5 papers), Natural product bioactivities and synthesis (4 papers) and Plant-based Medicinal Research (3 papers). The work is most often cited by research in Pharmacology (75 citations), Complementary and alternative medicine (58 citations) and Plant Science (201 citations). Yukio Kawata has collaborated with scholars based in Japan, Taiwan and United Kingdom. Frequent co-authors include Tsuneo Namba, Masao Hattori, Tsuyoshi Tomimori, Haruhisa Kizu, Tohru Kikuchi, Yasuhiro Tezuka, Kyoichi Kobashi, Yukinori Miyaichi, Qing‐Ming Che and Teruaki Akao. Their work appears in journals such as Phytochemistry, American Heart Journal and Phytotherapy Research.
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.