Yusuke Oku
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
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- Wnt/β-catenin signaling in development and cancer 3
- Cancer-related gene regulation 2
- Ubiquitin and proteasome pathways 1
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- Hippo pathway signaling and YAP/TAZ 4
- Microtubule and mitosis dynamics 3
- Co-authors
- Kazuhisa Sekimizu (2 shared papers)Kenji Kurokawa (2 shared papers)Yoshimasa Uehara (9 shared papers)Naoyuki Nishiya (10 shared papers)Norikazu Ichihashi (1 shared paper)Miki Matsuo (1 shared paper)Sakuo Yamada (1 shared paper)Bok‐Luel Lee (1 shared paper)
- Journals
- FEBS Open Bio (2 papers)Bioorganic & Medicinal Chemistry (2 papers)Anticancer Research (1 paper)Biochemical and Biophysical Research Communications (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- JapanItalyUnited Kingdom
In The Last Decade
Yusuke Oku
18 papers receiving 758 citations
Peers
Comparison fields: 5 of 81
- Cell Biology 307
- Microbiology 62
- Molecular Biology 480
- Molecular Medicine 32
- Infectious Diseases 100
Countries citing papers authored by Yusuke Oku
This map shows the geographic impact of Yusuke Oku'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 Yusuke Oku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Oku more than expected).
Fields of papers citing papers by Yusuke Oku
This network shows the impact of papers produced by Yusuke Oku. 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 Yusuke Oku. The network helps show where Yusuke Oku may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusuke Oku, 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 | 2015 | 154 | |
| 2 | 2008 | 142 | |
| 3 | 2003 | 109 | |
| 4 | 2012 | 82 | |
| 5 | 2011 | 74 | |
| 6 | 2004 | 43 | |
| 7 | 2014 | 31 | |
| 8 | 2017 | 24 | |
| 9 | 2007 | 22 | |
| 10 | 2014 | 20 | |
| 11 | 2021 | 18 | |
| 12 | 2018 | 15 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 9 | |
| 15 | 2018 | 7 | |
| 16 | 2018 | 5 | |
| 17 | 2024 | 1 | |
| 18 | 2014 | 1 | |
| 19 | 2012 | 0 |
About Yusuke Oku
Yusuke Oku is a scholar working on Molecular Biology, Cell Biology, Oncology, Pulmonary and Respiratory Medicine and Genetics, having authored 19 papers that have together received 768 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (4 papers), Microtubule and mitosis dynamics (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cancer-related gene regulation (2 papers), HER2/EGFR in Cancer Research (2 papers), Lung Cancer Treatments and Mutations (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cell Biology (307 citations), Microbiology (62 citations), Molecular Biology (480 citations), Molecular Medicine (32 citations) and Infectious Diseases (100 citations). Yusuke Oku has collaborated with scholars based in Japan, Italy and United Kingdom. Frequent co-authors include Kazuhisa Sekimizu, Kenji Kurokawa, Yoshimasa Uehara, Naoyuki Nishiya, Norikazu Ichihashi, Miki Matsuo, Sakuo Yamada, Bok‐Luel Lee, Yasufumi Yamamoto and Tomoyuki Tanaka. Their work appears in journals such as FEBS Open Bio, Bioorganic & Medicinal Chemistry, Anticancer Research, Biochemical and Biophysical Research Communications and Journal of Bacteriology.
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.