Keisuke Ueno
Impact in
- Biomaterials top 5%
- Nanocomposite Films for Food Packaging
- Electrospun Nanofibers in Biomedical Applications
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Phylogenetic Studies 3
- Biopolymer Synthesis and Applications 3
- Protein Structure and Dynamics 2
- Circular RNAs in diseases 2
-
- Catalytic Cross-Coupling Reactions 3
- Co-authors
- Seiichi Tokura (3 shared papers)Yuji Hinoda (4 shared papers)Ravinder Dahiya (4 shared papers)Hiroshi Hirata (4 shared papers)Z. Laura Tabatabai (3 shared papers)Norio Nishi (2 shared papers)Toru FUJINAGA (1 shared paper)Takashi Mori (1 shared paper)
- Journals
- British Journal of Cancer (4 papers)PLoS ONE (2 papers)Organic Letters (1 paper)Medicine (1 paper)Macromolecular Symposia (1 paper)
- Partner nations
- JapanUnited StatesZambia
In The Last Decade
Keisuke Ueno
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Biomaterials 301
- Cancer Research 242
- Molecular Biology 653
- Rehabilitation 62
- Surfaces, Coatings and Films 59
Countries citing papers authored by Keisuke Ueno
This map shows the geographic impact of Keisuke Ueno'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 Keisuke Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Ueno more than expected).
Fields of papers citing papers by Keisuke Ueno
This network shows the impact of papers produced by Keisuke Ueno. 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 Keisuke Ueno. The network helps show where Keisuke Ueno may publish in the future.
Co-authors
The 25 scholars most cited alongside Keisuke Ueno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 291 | |
| 2 | 2008 | 173 | |
| 3 | 1997 | 126 | |
| 4 | 2013 | 112 | |
| 5 | 2009 | 106 | |
| 6 | 2013 | 101 | |
| 7 | 2010 | 84 | |
| 8 | 1999 | 75 | |
| 9 | 2015 | 41 | |
| 10 | 2014 | 38 | |
| 11 | 2014 | 35 | |
| 12 | 1998 | 30 | |
| 13 | 2010 | 24 | |
| 14 | 2011 | 16 | |
| 15 | 1982 | 15 | |
| 16 | 2020 | 9 | |
| 17 | 2016 | 8 | |
| 18 | 1994 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2021 | 8 |
About Keisuke Ueno
Keisuke Ueno is a scholar working on Molecular Biology, Organic Chemistry, Epidemiology, Global and Planetary Change and Infectious Diseases, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Catalytic Cross-Coupling Reactions (3 papers), MicroRNA in disease regulation (3 papers), Biopolymer Synthesis and Applications (3 papers), Marine Ecology and Invasive Species (3 papers), Plant Virus Research Studies (2 papers), Protein Structure and Dynamics (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Biomaterials (301 citations), Cancer Research (242 citations), Molecular Biology (653 citations), Rehabilitation (62 citations) and Surfaces, Coatings and Films (59 citations). Keisuke Ueno has collaborated with scholars based in Japan, United States and Zambia. Frequent co-authors include Seiichi Tokura, Yuji Hinoda, Ravinder Dahiya, Hiroshi Hirata, Z. Laura Tabatabai, Norio Nishi, Toru FUJINAGA, Takashi Mori, Masahiro Okumura and Yoshiharu Okamoto. Their work appears in journals such as British Journal of Cancer, PLoS ONE, Organic Letters, Medicine and Macromolecular Symposia.
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.