Masamichi IKEDA
- Molecular Biology
- Cancer Research
- Physiology
- Health, Toxicology and Mutagenesis top 10%
- Pharmacology top 10%
- Co-authors
- Shuhei TanakaTakeshi ImamuraY. KomoikeH. OhtsujiHideo OhiraMasaru YoshidaYoshio FujiokaYoshihiro Izumi
- Topics
- Chemical Reactions and Isotopes (3 papers)GABA and Rice Research (3 papers)Amino Acid Enzymes and Metabolism (2 papers)
- Journals
- Methods in enzymology on CD-ROM/Methods in enzymologyJournal of Applied Polymer SciencePlant and Cell Physiology
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Masamichi IKEDA
29 papers receiving 513 citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 189
- Cancer Research 123
- Physiology 107
- Health, Toxicology and Mutagenesis 90
- Pharmacology 51
Countries citing papers authored by Masamichi IKEDA
This map shows the geographic impact of Masamichi IKEDA'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 Masamichi IKEDA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masamichi IKEDA more than expected).
Fields of papers citing papers by Masamichi IKEDA
This network shows the impact of papers produced by Masamichi IKEDA. 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 Masamichi IKEDA. The network helps show where Masamichi IKEDA may publish in the future.
Co-authorship network of co-authors of Masamichi IKEDA
This figure shows the co-authorship network connecting the top 25 collaborators of Masamichi IKEDA. A scholar is included among the top collaborators of Masamichi IKEDA 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 Masamichi IKEDA. Masamichi IKEDA is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 185 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 19 | |
| 5 | 28 | |
| 6 | 8 | |
| 7 | 42 | |
| 8 | Effects of The Inositol-deficient Diet on The Development of Fatty Liver, Lipogenic Enzyme Activities and Plasma Lipid Levels in Germ-Free and Conventional Mice | 1 |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | 1 |
About Masamichi IKEDA
Masamichi IKEDA is a scholar working on Chemical Health and Safety, Pharmaceutical Science and Biochemistry, having authored 30 papers that have together received 547 indexed citations. Recurring topics across this work include Chemical Reactions and Isotopes (3 papers), GABA and Rice Research (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Cancer Research (123 citations), Chemical Health and Safety (5 citations) and Health, Toxicology and Mutagenesis (90 citations). Masamichi IKEDA has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shuhei Tanaka, Takeshi Imamura, Y. Komoike, H. Ohtsuji, Hideo Ohira, Masaru Yoshida, Yoshio Fujioka, Yoshihiro Izumi, Michiko Ishikawa and Shin Nishiumi. Their work appears in journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Journal of Applied Polymer Science and Plant and Cell Physiology.
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.