Kaoru Ueda
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
Papers in
- Oncology 4
- Drug Transport and Resistance Mechanisms 3
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- Pharmacogenetics and Drug Metabolism 4
- Co-authors
- Yuichi Sugiyama (3 shared papers)Shin-ichi Kanamitsu (2 shared papers)Takeshi Iwatsubo (1 shared paper)Hiroshi Suzuki (1 shared paper)Kikukatsu Ito (1 shared paper)Yukio Kato (1 shared paper)Tsunekazu Oikawa (16 shared papers)Chisato Saeki (16 shared papers)
- Journals
- BMC Gastroenterology (2 papers)Scientific Reports (2 papers)Medicine (1 paper)Biomarkers (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kaoru Ueda
33 papers receiving 769 citations
Peers
Comparison fields: 5 of 94
- Pharmacology 382
- Oncology 327
- Pediatrics, Perinatology and Child Health 155
- Hepatology 35
- Computational Theory and Mathematics 70
Countries citing papers authored by Kaoru Ueda
This map shows the geographic impact of Kaoru 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 Kaoru Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Ueda more than expected).
Fields of papers citing papers by Kaoru Ueda
This network shows the impact of papers produced by Kaoru 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 Kaoru Ueda. The network helps show where Kaoru Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaoru 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 434 | |
| 2 | 2002 | 74 | |
| 3 | 2001 | 52 | |
| 4 | Acute Korsakoff syndrome following mammillothalamic tract infarction. | 2004 | 50 |
| 5 | 2017 | 23 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 15 | |
| 8 | 1996 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2012 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2006 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2015 | 6 | |
| 18 | 2002 | 6 | |
| 19 | 2006 | 6 | |
| 20 | 2022 | 5 |
About Kaoru Ueda
Kaoru Ueda is a scholar working on Oncology, Pharmacology, Hepatology, Surgery and Pediatrics, Perinatology and Child Health, having authored 33 papers that have together received 806 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Nutrition and Health in Aging (3 papers), Reproductive Physiology in Livestock (3 papers), Sperm and Testicular Function (2 papers), Genetic and phenotypic traits in livestock (2 papers), Liver Diseases and Immunity (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Pharmacology (382 citations), Oncology (327 citations), Pediatrics, Perinatology and Child Health (155 citations), Hepatology (35 citations) and Computational Theory and Mathematics (70 citations). Kaoru Ueda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yuichi Sugiyama, Shin-ichi Kanamitsu, Takeshi Iwatsubo, Hiroshi Suzuki, Kikukatsu Ito, Yukio Kato, Tsunekazu Oikawa, Chisato Saeki, Masayuki Saruta and Yuichi Torisu. Their work appears in journals such as BMC Gastroenterology, Scientific Reports, Medicine, Biomarkers and Journal of Pharmacology and Experimental Therapeutics.
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.