Shugo Ueda
Impact in
- Virology top 5%
- HIV Research and Treatment
- Biochemistry top 5%
- Sulfur Compounds in Biology
Papers in
-
- Redox biology and oxidative stress 11
- Immunology 20
- Immunotherapy and Immune Responses 6
- Immune responses and vaccinations 6
- Co-authors
- Junji Yodoi (11 shared papers)Hiroshi Masutani (7 shared papers)Hajime Nakamura (13 shared papers)Masaya Ueno (3 shared papers)Arimichi Takabayashi (12 shared papers)Toru Tanaka (1 shared paper)Tetsuro Sasada (8 shared papers)Junji Yodoi (5 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Antioxidants and Redox Signaling (4 papers)Gastric Cancer (3 papers)Surgery Today (2 papers)Annals of Oncology (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Shugo Ueda
64 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 109
- Virology 144
- Biochemistry 157
- Immunology 435
- Molecular Biology 1.3k
- Gastroenterology 75
Countries citing papers authored by Shugo Ueda
This map shows the geographic impact of Shugo 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 Shugo Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shugo Ueda more than expected).
Fields of papers citing papers by Shugo Ueda
This network shows the impact of papers produced by Shugo 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 Shugo Ueda. The network helps show where Shugo Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Shugo 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 467 | |
| 2 | 2014 | 174 | |
| 3 | 1993 | 171 | |
| 4 | 1998 | 161 | |
| 5 | Expression of thioredoxin and glutaredoxin, redox-regulating proteins, in pancreatic cancer. | 2000 | 151 |
| 6 | 1999 | 107 | |
| 7 | 2019 | 105 | |
| 8 | 2003 | 101 | |
| 9 | 2005 | 100 | |
| 10 | 2013 | 96 | |
| 11 | 2009 | 93 | |
| 12 | 2002 | 93 | |
| 13 | 2011 | 88 | |
| 14 | 2004 | 82 | |
| 15 | 2002 | 78 | |
| 16 | 2004 | 75 | |
| 17 | 2006 | 50 | |
| 18 | 2016 | 47 | |
| 19 | 2007 | 46 | |
| 20 | 2006 | 44 |
About Shugo Ueda
Shugo Ueda is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 67 papers that have together received 2.8k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (16 papers), Redox biology and oxidative stress (11 papers), Virology and Viral Diseases (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Immunotherapy and Immune Responses (6 papers), Immune responses and vaccinations (6 papers), Gastrointestinal Tumor Research and Treatment (5 papers) and Colorectal Cancer Treatments and Studies (4 papers). The work is most often cited by research in Virology (144 citations), Biochemistry (157 citations), Immunology (435 citations), Molecular Biology (1.3k citations) and Gastroenterology (75 citations). Shugo Ueda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Junji Yodoi, Hiroshi Masutani, Hajime Nakamura, Masaya Ueno, Arimichi Takabayashi, Toru Tanaka, Tetsuro Sasada, Junji Yodoi, Ichiro Kuwabara and Yoshio Yamaoka. Their work appears in journals such as Journal of Clinical Oncology, Antioxidants and Redox Signaling, Gastric Cancer, Surgery Today and Annals of Oncology.
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.