Yusuke Kono
Impact in
- Oncology top 5%
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Immunotherapy and Biomarkers
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
- Oncology 29
- Inflammatory Biomarkers in Disease Prognosis 14
- Drug Transport and Resistance Mechanisms 7
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- RNA Interference and Gene Delivery 9
- Co-authors
- Hiroaki Saito (37 shared papers)Yoji Fukumoto (38 shared papers)Yoshiyuki Fujiwara (47 shared papers)Tomoyuki Matsunaga (44 shared papers)Yuji Shishido (37 shared papers)Takuya Fujita (21 shared papers)Keigo Ashida (18 shared papers)Hirohiko Kuroda (24 shared papers)
- Journals
- Biological and Pharmaceutical Bulletin (11 papers)Surgery Today (9 papers)Anticancer Research (5 papers)International Journal of Pharmaceutics (4 papers)Drug Delivery (2 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Yusuke Kono
88 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Oncology 439
- Biomaterials 170
- Pharmaceutical Science 75
- Immunology 194
- Internal Medicine 22
Countries citing papers authored by Yusuke Kono
This map shows the geographic impact of Yusuke Kono'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 Kono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Kono more than expected).
Fields of papers citing papers by Yusuke Kono
This network shows the impact of papers produced by Yusuke Kono. 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 Kono. The network helps show where Yusuke Kono may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusuke Kono, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 128 | |
| 2 | 2019 | 96 | |
| 3 | 2017 | 77 | |
| 4 | 2018 | 44 | |
| 5 | 2017 | 38 | |
| 6 | 2019 | 36 | |
| 7 | 2013 | 36 | |
| 8 | 2020 | 34 | |
| 9 | 2017 | 29 | |
| 10 | 2014 | 26 | |
| 11 | 2017 | 25 | |
| 12 | 2012 | 25 | |
| 13 | 2020 | 24 | |
| 14 | 2017 | 23 | |
| 15 | 2018 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2018 | 21 | |
| 18 | 2016 | 21 | |
| 19 | 2018 | 21 | |
| 20 | 2018 | 20 |
About Yusuke Kono
Yusuke Kono is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Biomaterials, having authored 94 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (17 papers), Nanoparticle-Based Drug Delivery (14 papers), Inflammatory Biomarkers in Disease Prognosis (14 papers), Gastrointestinal Tumor Research and Treatment (10 papers), RNA Interference and Gene Delivery (9 papers), Advanced Drug Delivery Systems (9 papers), Immune cells in cancer (8 papers) and Drug Transport and Resistance Mechanisms (7 papers). The work is most often cited by research in Oncology (439 citations), Biomaterials (170 citations), Pharmaceutical Science (75 citations), Immunology (194 citations) and Internal Medicine (22 citations). Yusuke Kono has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Hiroaki Saito, Yoji Fukumoto, Yoshiyuki Fujiwara, Tomoyuki Matsunaga, Yuji Shishido, Takuya Fujita, Keigo Ashida, Hirohiko Kuroda, Tomohiro Osaki and Ken‐ichi Ogawara. Their work appears in journals such as Biological and Pharmaceutical Bulletin, Surgery Today, Anticancer Research, International Journal of Pharmaceutics and Drug Delivery.
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.