Seiji Ueda
Impact in
- Clinical Biochemistry top 0.1%
- Advanced Glycation End Products research
- Nephrology top 0.5%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
Papers in
-
- Advanced Glycation End Products research 30
- Nephrology 34
- Chronic Kidney Disease and Diabetes 22
- Dialysis and Renal Disease Management 11
- Acute Kidney Injury Research 9
- Co-authors
- Seiya OkudaSho‐ichi YamagishiTsutomu ImaizumiKei FukamiHidehiro MatsuokaHiroshi MiyazakiMichiaki UsuiTakanori Matsui
- Journals
- Current Pharmaceutical Design (5 papers)Pharmacological Research (4 papers)Journal of the American Society of Nephrology (4 papers)Nephrology (4 papers)Life Sciences (4 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Seiji Ueda
91 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Clinical Biochemistry 1.4k
- Nephrology 936
- Endocrinology, Diabetes and Metabolism 1.1k
- Cardiology and Cardiovascular Medicine 1.3k
- Physiology 1.4k
Countries citing papers authored by Seiji Ueda
This map shows the geographic impact of Seiji 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 Seiji Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiji Ueda more than expected).
Fields of papers citing papers by Seiji Ueda
This network shows the impact of papers produced by Seiji 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 Seiji Ueda. The network helps show where Seiji Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Seiji 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2023 | 0 | |
| 3 | 2021 | 9 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 52 | |
| 7 | 2020 | 5 | |
| 8 | 2018 | 29 | |
| 9 | 2018 | 23 | |
| 10 | 2013 | 26 | |
| 11 | 2012 | 68 | |
| 12 | 2012 | 13 | |
| 13 | 2010 | 33 | |
| 14 | 2009 | 39 | |
| 15 | 2008 | 29 | |
| 16 | 2008 | 25 | |
| 17 | 2007 | 51 | |
| 18 | 2006 | 134 | |
| 19 | 2000 | 126 | |
| 20 | 1998 | 199 |
About Seiji Ueda
Seiji Ueda is a scholar working on Clinical Biochemistry, Nephrology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 93 papers that have together received 4.9k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (30 papers), Chronic Kidney Disease and Diabetes (22 papers), Nitric Oxide and Endothelin Effects (15 papers), Dialysis and Renal Disease Management (11 papers), Renin-Angiotensin System Studies (10 papers), Acute Kidney Injury Research (9 papers), Cardiovascular Issues in Pregnancy (9 papers) and Diabetes Treatment and Management (7 papers). The work is most often cited by research in Clinical Biochemistry (1.4k citations), Nephrology (936 citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Cardiology and Cardiovascular Medicine (1.3k citations) and Physiology (1.4k citations). Seiji Ueda has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Seiya Okuda, Sho‐ichi Yamagishi, Tsutomu Imaizumi, Kei Fukami, Hidehiro Matsuoka, Hiroshi Miyazaki, Michiaki Usui, Takanori Matsui, Masayoshi Takeuchi and John P. Cooke. Their work appears in journals such as Current Pharmaceutical Design, Pharmacological Research, Journal of the American Society of Nephrology, Nephrology and Life Sciences.
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.