Ryo Ueda
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- Genetics top 2%
- Glioma Diagnosis and Treatment
Papers in
-
- RNA Interference and Gene Delivery 9
- Immunology 24
- Immunotherapy and Immune Responses 15
- Co-authors
- Hideho Okada (13 shared papers)Gary Kohanbash (10 shared papers)Mitsugu Fujita (11 shared papers)Xinmei Zhu (8 shared papers)Kotaro Sasaki (9 shared papers)Edward R. Kastenhuber (5 shared papers)Masahiro Toda (22 shared papers)Takeshi Kawase (11 shared papers)
- Journals
- The Journal of Immunology (5 papers)Neurologia medico-chirurgica (5 papers)Scientific Reports (4 papers)Acta Neurochirurgica (3 papers)Brain Tumor Pathology (3 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Ryo Ueda
108 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 114
- Immunology 1.2k
- Genetics 340
- Oncology 845
- Cancer Research 296
- Neurology 138
Countries citing papers authored by Ryo Ueda
This map shows the geographic impact of Ryo Ueda'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 Ryo Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Ueda more than expected).
Fields of papers citing papers by Ryo Ueda
This network shows the impact of papers produced by Ryo Ueda. 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 Ryo Ueda. The network helps show where Ryo Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryo Ueda, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 461 | |
| 2 | 2009 | 144 | |
| 3 | 2013 | 140 | |
| 4 | 2009 | 114 | |
| 5 | 1995 | 107 | |
| 6 | 2018 | 99 | |
| 7 | 2009 | 94 | |
| 8 | 2011 | 91 | |
| 9 | 2017 | 87 | |
| 10 | 2009 | 83 | |
| 11 | 1994 | 82 | |
| 12 | 2008 | 81 | |
| 13 | 2011 | 72 | |
| 14 | 2006 | 71 | |
| 15 | 2010 | 71 | |
| 16 | 2010 | 69 | |
| 17 | 1996 | 63 | |
| 18 | 2003 | 51 | |
| 19 | 1992 | 51 | |
| 20 | 2018 | 47 |
About Ryo Ueda
Ryo Ueda is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Oncology and Surgery, having authored 114 papers that have together received 3.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (15 papers), Advanced Neuroimaging Techniques and Applications (15 papers), RNA Interference and Gene Delivery (9 papers), Glioma Diagnosis and Treatment (7 papers), CAR-T cell therapy research (6 papers), Transcranial Magnetic Stimulation Studies (6 papers), Meningioma and schwannoma management (6 papers) and Stroke Rehabilitation and Recovery (6 papers). The work is most often cited by research in Immunology (1.2k citations), Genetics (340 citations), Oncology (845 citations), Cancer Research (296 citations) and Neurology (138 citations). Ryo Ueda has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Hideho Okada, Gary Kohanbash, Mitsugu Fujita, Xinmei Zhu, Kotaro Sasaki, Edward R. Kastenhuber, Masahiro Toda, Takeshi Kawase, Kazunari Yoshida and Yutaka Kawakami. Their work appears in journals such as The Journal of Immunology, Neurologia medico-chirurgica, Scientific Reports, Acta Neurochirurgica and Brain Tumor Pathology.
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.