Seigo Ueda
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 10%
- Viral-associated cancers and disorders
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Co-authors
- Yasuaki Harabuchi (26 shared papers)Miki Takahara (17 shared papers)Kan Kishibe (13 shared papers)Toshihiro Nagato (13 shared papers)Yuki Komabayashi (7 shared papers)David Nadal (5 shared papers)Christoph Berger (4 shared papers)Akira Kusai (8 shared papers)
- Journals
- Chemical and Pharmaceutical Bulletin (10 papers)Hematological Oncology (2 papers)Cancer Immunology Immunotherapy (2 papers)Journal of Microencapsulation (2 papers)Journal of Molecular and Cellular Cardiology (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Seigo Ueda
43 papers receiving 777 citations
Peers
Comparison fields: 5 of 88
- Immunology 315
- Oncology 364
- Pathology and Forensic Medicine 235
- Nephrology 48
- Pharmaceutical Science 30
Countries citing papers authored by Seigo Ueda
This map shows the geographic impact of Seigo 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 Seigo Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seigo Ueda more than expected).
Fields of papers citing papers by Seigo Ueda
This network shows the impact of papers produced by Seigo 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 Seigo Ueda. The network helps show where Seigo Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Seigo 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 175 | |
| 2 | 2017 | 126 | |
| 3 | 2008 | 58 | |
| 4 | 2015 | 48 | |
| 5 | 2016 | 42 | |
| 6 | 2013 | 42 | |
| 7 | 1984 | 28 | |
| 8 | 2012 | 26 | |
| 9 | 2013 | 18 | |
| 10 | 1985 | 18 | |
| 11 | 2010 | 16 | |
| 12 | 2016 | 16 | |
| 13 | 1966 | 16 | |
| 14 | 2017 | 15 | |
| 15 | 2015 | 14 | |
| 16 | 2013 | 12 | |
| 17 | 2019 | 12 | |
| 18 | 1981 | 12 | |
| 19 | 1966 | 12 | |
| 20 | 1996 | 11 |
About Seigo Ueda
Seigo Ueda is a scholar working on Oncology, Surgery, Pathology and Forensic Medicine, Immunology and Organic Chemistry, having authored 50 papers that have together received 802 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (10 papers), Immune Cell Function and Interaction (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Ear and Head Tumors (4 papers), Chemistry and Chemical Engineering (4 papers), Synthesis and Biological Evaluation (4 papers), Analytical Chemistry and Chromatography (3 papers) and Chemical Reaction Mechanisms (3 papers). The work is most often cited by research in Immunology (315 citations), Oncology (364 citations), Pathology and Forensic Medicine (235 citations), Nephrology (48 citations) and Pharmaceutical Science (30 citations). Seigo Ueda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yasuaki Harabuchi, Miki Takahara, Kan Kishibe, Toshihiro Nagato, Yuki Komabayashi, David Nadal, Christoph Berger, Akira Kusai, Claudine Gysin and Tarik Azzi. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Hematological Oncology, Cancer Immunology Immunotherapy, Journal of Microencapsulation and Journal of Molecular and Cellular Cardiology.
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.