Futoshi Uno
Impact in
- Biotechnology top 1%
- Cancer Research and Treatments
- Oncology top 5%
- CAR-T cell therapy research
- Cancer-related Molecular Pathways
Papers in
- Genetics 20
- Virus-based gene therapy research 20
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- RNA Interference and Gene Delivery 8
- Co-authors
- Toshiyoshi Fujiwara (30 shared papers)Shunsuke Kagawa (25 shared papers)Noriaki Tanaka (12 shared papers)Yuuri Hashimoto (17 shared papers)Yasuo Urata (15 shared papers)Yuichi Watanabe (11 shared papers)Hiroshi Tazawa (13 shared papers)Shinji Kuroda (9 shared papers)
- Journals
- Oncogene (4 papers)Molecular Cancer Therapeutics (3 papers)Clinical Cancer Research (2 papers)International Journal of Cancer (2 papers)Cancer Research (2 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Futoshi Uno
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 79
- Biotechnology 409
- Oncology 579
- Genetics 549
- Cancer Research 200
- Cell Biology 215
Countries citing papers authored by Futoshi Uno
This map shows the geographic impact of Futoshi Uno'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 Futoshi Uno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Futoshi Uno more than expected).
Fields of papers citing papers by Futoshi Uno
This network shows the impact of papers produced by Futoshi Uno. 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 Futoshi Uno. The network helps show where Futoshi Uno may publish in the future.
Co-authors
The 25 scholars most cited alongside Futoshi Uno, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 141 | |
| 2 | 2003 | 127 | |
| 3 | 2001 | 124 | |
| 4 | 2009 | 84 | |
| 5 | 2004 | 78 | |
| 6 | 2007 | 76 | |
| 7 | Antisense-mediated suppression of human heparanase gene expression inhibits pleural dissemination of human cancer cells. | 2001 | 66 |
| 8 | 2013 | 64 | |
| 9 | 2010 | 61 | |
| 10 | 2008 | 57 | |
| 11 | 2013 | 53 | |
| 12 | 2002 | 51 | |
| 13 | 2008 | 51 | |
| 14 | 2012 | 50 | |
| 15 | 2012 | 48 | |
| 16 | 2011 | 43 | |
| 17 | 2009 | 29 | |
| 18 | 2012 | 22 | |
| 19 | 2002 | 22 | |
| 20 | 2007 | 21 |
About Futoshi Uno
Futoshi Uno is a scholar working on Genetics, Molecular Biology, Biotechnology, Oncology and Surgery, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (20 papers), Cancer Research and Treatments (16 papers), RNA Interference and Gene Delivery (8 papers), Gastrointestinal Tumor Research and Treatment (7 papers), Gastric Cancer Management and Outcomes (6 papers), CAR-T cell therapy research (4 papers), Parathyroid Disorders and Treatments (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Biotechnology (409 citations), Oncology (579 citations), Genetics (549 citations), Cancer Research (200 citations) and Cell Biology (215 citations). Futoshi Uno has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Toshiyoshi Fujiwara, Shunsuke Kagawa, Noriaki Tanaka, Yuuri Hashimoto, Yasuo Urata, Yuichi Watanabe, Hiroshi Tazawa, Shinji Kuroda, Jack A. Roth and Shuya Yano. Their work appears in journals such as Oncogene, Molecular Cancer Therapeutics, Clinical Cancer Research, International Journal of Cancer and Cancer Research.
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.