Seiichi Inayama
- Molecular Biology top 0.5%
- Cellular and Molecular Neuroscience top 0.2%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Tadaaki HiroseShosaku NumaMasaharu NodaHideo TakahashiYasuji FurutaniShigetada NakanishiMitsuyoshi ToyosatoTsutomu Tanabe
- Topics
- Natural product bioactivities and synthesis (21 papers)Cancer, Hypoxia, and Metabolism (16 papers)Sesquiterpenes and Asteraceae Studies (13 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Seiichi Inayama
134 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 6.1k
- Cellular and Molecular Neuroscience 3.6k
- Cardiology and Cardiovascular Medicine 643
- Physiology 606
- Endocrinology, Diabetes and Metabolism 425
Countries citing papers authored by Seiichi Inayama
This map shows the geographic impact of Seiichi Inayama'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 Seiichi Inayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiichi Inayama more than expected).
Fields of papers citing papers by Seiichi Inayama
This network shows the impact of papers produced by Seiichi Inayama. 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 Seiichi Inayama. The network helps show where Seiichi Inayama may publish in the future.
Co-authorship network of co-authors of Seiichi Inayama
This figure shows the co-authorship network connecting the top 25 collaborators of Seiichi Inayama. A scholar is included among the top collaborators of Seiichi Inayama 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 Seiichi Inayama. Seiichi Inayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 22 | |
| 3 | 24 | |
| 4 | 41 | |
| 5 | 25 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 19 | |
| 12 | 9 | |
| 13 | 11 | |
| 14 | The Stereostructure of (1R, 10R)-epoxy-(-)-1, 10-dihydrocurdione from Curcuma wenyujin | 1 |
| 15 | 39 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 115 | |
| 20 | A comparative study on the radiosensitizing effects and cytotoxic properties of misonidazole and 2,4-dinitroimidazole-1-ethanol in HeLa S3 cells | 2 |
About Seiichi Inayama
Seiichi Inayama is a scholar working on Cancer Research, Biochemistry and Toxicology, having authored 136 papers that have together received 8.5k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (21 papers), Cancer, Hypoxia, and Metabolism (16 papers) and Sesquiterpenes and Asteraceae Studies (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.6k citations), Molecular Biology (6.1k citations) and Behavioral Neuroscience (200 citations). Seiichi Inayama has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Tadaaki Hirose, Shosaku Numa, Masaharu Noda, Hideo Takahashi, Yasuji Furutani, Shigetada Nakanishi, Mitsuyoshi Toyosato, Tsutomu Tanabe, Takashi Miyata and Hideaki Takashima. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids 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.