Ui Okada
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Structural Biology top 10%
- Advanced Electron Microscopy Techniques and Applications
Papers in
-
- Antibiotic Resistance in Bacteria 8
- Oncology 8
- Drug Transport and Resistance Mechanisms 8
- Co-authors
- Satoshi Murakami (10 shared papers)Hendrik W. van Veen (3 shared papers)Arthur Neuberger (2 shared papers)Eiki Yamashita (6 shared papers)Sjors H. W. Scheres (1 shared paper)Ben F. Luisi (1 shared paper)Ulrich Zachariae (1 shared paper)Anthony W. P. Fitzpatrick (1 shared paper)
- Journals
- Nature Communications (3 papers)FEBS Letters (2 papers)The Journal of Biochemistry (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Microbiology (1 paper)
- Partner nations
- JapanUnited KingdomIndia
In The Last Decade
Ui Okada
16 papers receiving 402 citations
Peers
Comparison fields: 5 of 40
- Molecular Medicine 143
- Structural Biology 16
- Oncology 109
- Genetics 122
- Endocrinology 13
Countries citing papers authored by Ui Okada
This map shows the geographic impact of Ui Okada'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 Ui Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ui Okada more than expected).
Fields of papers citing papers by Ui Okada
This network shows the impact of papers produced by Ui Okada. 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 Ui Okada. The network helps show where Ui Okada may publish in the future.
Co-authors
The 25 scholars most cited alongside Ui Okada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 158 | |
| 2 | 2017 | 80 | |
| 3 | 2021 | 54 | |
| 4 | 2005 | 36 | |
| 5 | 2022 | 20 | |
| 6 | 2013 | 14 | |
| 7 | 2008 | 12 | |
| 8 | 2006 | 7 | |
| 9 | 2014 | 7 | |
| 10 | 2020 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2018 | 2 | |
| 14 | 2025 | 2 | |
| 15 | Structural and genomic DNA analysis of the putative TetR transcriptional repressor SCO7518 from Streptomyces coelicolor A3(2) | 2016 | 1 |
| 16 | 2025 | 1 |
About Ui Okada
Ui Okada is a scholar working on Molecular Medicine, Oncology, Genetics, Pharmacology and Materials Chemistry, having authored 16 papers that have together received 411 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Drug Transport and Resistance Mechanisms (8 papers), Bacterial Genetics and Biotechnology (6 papers), Enzyme Structure and Function (4 papers), Microbial Natural Products and Biosynthesis (2 papers), Protein Structure and Dynamics (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Molecular Medicine (143 citations), Structural Biology (16 citations), Oncology (109 citations), Genetics (122 citations) and Endocrinology (13 citations). Ui Okada has collaborated with scholars based in Japan, United Kingdom and India. Frequent co-authors include Satoshi Murakami, Hendrik W. van Veen, Arthur Neuberger, Eiki Yamashita, Sjors H. W. Scheres, Ben F. Luisi, Ulrich Zachariae, Anthony W. P. Fitzpatrick, James N. Blaza and Xiao‐chen Bai. Their work appears in journals such as Nature Communications, FEBS Letters, The Journal of Biochemistry, Proteins Structure Function and Bioinformatics and Microbiology.
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.