Taiji Inui
- Molecular Biology
- Organic Chemistry top 10%
- Pharmacology top 5%
- Oncology
- Plant Science
- Co-authors
- TOSHIKAZU OKIHAMAO UMEZAWATOMIO TAKEUCHITadazumi KomiyamaYasue MatsuzawaAkihiro YoshimotoHIROSHI NAGANAWAIwao Kitamura
- Topics
- Cancer therapeutics and mechanisms (15 papers)Bioactive Compounds and Antitumor Agents (8 papers)Synthesis and Biological Activity (6 papers)
- Journals
- Nucleic Acids ResearchBiochemical and Biophysical Research CommunicationsJournal of Structural Engineering
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Taiji Inui
45 papers receiving 766 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 472
- Organic Chemistry 269
- Pharmacology 258
- Oncology 192
- Plant Science 123
Countries citing papers authored by Taiji Inui
This map shows the geographic impact of Taiji Inui'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 Taiji Inui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taiji Inui more than expected).
Fields of papers citing papers by Taiji Inui
This network shows the impact of papers produced by Taiji Inui. 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 Taiji Inui. The network helps show where Taiji Inui may publish in the future.
Co-authorship network of co-authors of Taiji Inui
This figure shows the co-authorship network connecting the top 25 collaborators of Taiji Inui. A scholar is included among the top collaborators of Taiji Inui 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 Taiji Inui. Taiji Inui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 78 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | Identification of Marine Methanol-utilizing Bacteria | 8 |
| 9 | 6 | |
| 10 | 29 | |
| 11 | Reduction of cinerulose in aclacinomycin-A by soluble and microsomal cinerulose reductases. | 5 |
| 12 | Reduction of anthracycline glycoside by NADPH--cytochrome P-450 reductase. | 7 |
| 13 | 14 | |
| 14 | 36 | |
| 15 | Isolation and Characterization of Marine Methanol-utilizing Bacteria : Studies on Marine Methanol-utilizing Bacteria(I) | 3 |
| 16 | Growth Characteristics of Marine Methanol-utilizing Bacteria : Studies on Marine Methanol-utilizing Bacteria(II) | 1 |
| 17 | 7 | |
| 18 | 33 | |
| 19 | 42 | |
| 20 | 4 |
About Taiji Inui
Taiji Inui is a scholar working on Toxicology, Applied Microbiology and Biotechnology and Molecular Biology, having authored 47 papers that have together received 864 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (15 papers), Bioactive Compounds and Antitumor Agents (8 papers) and Synthesis and Biological Activity (6 papers). The work is most often cited by research in Toxicology (86 citations), Pharmacology (258 citations) and Organic Chemistry (269 citations). Taiji Inui has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include TOSHIKAZU OKI, HAMAO UMEZAWA, TOMIO TAKEUCHI, Tadazumi Komiyama, Yasue Matsuzawa, Akihiro Yoshimoto, HIROSHI NAGANAWA, Iwao Kitamura, Norio Shibamoto and Yoshito Takeda. Their work appears in journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and Journal of Structural Engineering.
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.