Yusuke Uemura
- Oncology top 5%
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- Heart Failure Treatment and Management 10
- Cardiovascular Function and Risk Factors 7
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 9
- Epidemiology top 2%
- Adipokines, Inflammation, and Metabolic Diseases 11
- Physiology top 5%
- Nutrition and Health in Aging 8
- Adipose Tissue and Metabolism 6
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- Frailty in Older Adults 9
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- Cardiac Imaging and Diagnostics 7
- Co-authors
- Toyoaki MuroharaRei ShibataKenji NakashimaTakahiro KambaraNoriyuki OuchiKoji OhashiDaisuke YuasaYuichi Inoue
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Circulation (1 paper)
- Partner nations
- JapanUnited StatesAustria
In The Last Decade
Yusuke Uemura
88 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 112
- Oncology 912
- Cardiology and Cardiovascular Medicine 744
- Neurology 479
- Epidemiology 1.0k
- Physiology 726
Countries citing papers authored by Yusuke Uemura
This map shows the geographic impact of Yusuke Uemura'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 Yusuke Uemura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Uemura more than expected).
Fields of papers citing papers by Yusuke Uemura
This network shows the impact of papers produced by Yusuke Uemura. 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 Yusuke Uemura. The network helps show where Yusuke Uemura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yusuke Uemura, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 1 | |
| 12 | 2017 | 23 | |
| 13 | 2014 | 152 | |
| 14 | 2013 | 37 | |
| 15 | 2011 | 40 | |
| 16 | 2011 | 36 | |
| 17 | 2011 | 19 | |
| 18 | 2008 | 40 | |
| 19 | Pattern reversal VER as a tool for evaluating unbalanced visual inputs between the two eyes. | 1988 | 6 |
| 20 | 1975 | 4 |
About Yusuke Uemura
Yusuke Uemura is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Neurology, having authored 96 papers that have together received 3.4k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (11 papers), Heart Failure Treatment and Management (10 papers), Frailty in Older Adults (9 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Nutrition and Health in Aging (8 papers), Cardiac Imaging and Diagnostics (7 papers), Cardiovascular Function and Risk Factors (7 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Oncology (912 citations), Cardiology and Cardiovascular Medicine (744 citations) and Neurology (479 citations). Yusuke Uemura has collaborated with scholars based in Japan, United States and Austria. Frequent co-authors include Toyoaki Murohara, Rei Shibata, Kenji Nakashima, Takahiro Kambara, Noriyuki Ouchi, Koji Ohashi, Daisuke Yuasa, Yuichi Inoue, Kazuhiro Matsuo and Takashi Nomura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.