Hiroki Ueyama
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- Cardiac Valve Diseases and Treatments 40
- Cardiovascular Function and Risk Factors 15
- Acute Myocardial Infarction Research 13
- Atrial Fibrillation Management and Outcomes 10
- Internal Medicine top 10%
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- Coronary Interventions and Diagnostics 15
- Cardiac Structural Anomalies and Repair 13
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- Infective Endocarditis Diagnosis and Management 23
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- Cardiac Imaging and Diagnostics 12
- Co-authors
- Toshiki KunoHisato TakagiΑlexandros BriasoulisTomo AndoSripal BangaloreTomohiro FujisakiStamatios LerakisYujiro Yokoyama
- Cited by
- Cardiology and Cardiovascular MedicineInternal MedicineEndocrinology, Diabetes and Metabolism
- Journals
- Journal of the American College of Cardiology (9 papers)The American Journal of Cardiology (11 papers)American Heart Journal (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Hiroki Ueyama
72 papers receiving 582 citations
Peers
Comparison fields: 5 of 77
- Cardiology and Cardiovascular Medicine 341
- Internal Medicine 30
- Endocrinology, Diabetes and Metabolism 99
- Surgery 200
- Nephrology 28
Countries citing papers authored by Hiroki Ueyama
This map shows the geographic impact of Hiroki Ueyama'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 Hiroki Ueyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroki Ueyama more than expected).
Fields of papers citing papers by Hiroki Ueyama
This network shows the impact of papers produced by Hiroki Ueyama. 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 Hiroki Ueyama. The network helps show where Hiroki Ueyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiroki Ueyama, 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 | 4 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 18 | |
| 15 | 2023 | 11 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 8 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 35 | |
| 20 | 2020 | 5 |
About Hiroki Ueyama
Hiroki Ueyama is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Surgery, having authored 88 papers that have together received 596 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (40 papers), Infective Endocarditis Diagnosis and Management (23 papers), Cardiovascular Function and Risk Factors (15 papers), Coronary Interventions and Diagnostics (15 papers), Cardiac Structural Anomalies and Repair (13 papers), Acute Myocardial Infarction Research (13 papers), Cardiac Imaging and Diagnostics (12 papers) and Atrial Fibrillation Management and Outcomes (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (341 citations), Internal Medicine (30 citations) and Endocrinology, Diabetes and Metabolism (99 citations). Hiroki Ueyama has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Toshiki Kuno, Hisato Takagi, Αlexandros Briasoulis, Tomo Ando, Sripal Bangalore, Tomohiro Fujisaki, Stamatios Lerakis, Yujiro Yokoyama, Annapoorna Kini and Hirotaka Miyashita. Their work appears in journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and American Heart Journal.
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.