Ryota Uemura
- Surgery top 5%
- Genetics top 2%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Biomaterials top 5%
- Co-authors
- Meifeng XuMuhammad AshrafNauman AhmadKyoichi MizunoMasamichi TakanoKentaro OkamatsuFumiyuki IshibashiYigang Wang
- Topics
- Coronary Interventions and Diagnostics (9 papers)Cardiac Imaging and Diagnostics (6 papers)Acute Myocardial Infarction Research (4 papers)
- Cited by
- GeneticsSurgeryBiomaterials
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Ryota Uemura
20 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Surgery 732
- Genetics 453
- Molecular Biology 328
- Cardiology and Cardiovascular Medicine 308
- Biomaterials 203
Countries citing papers authored by Ryota Uemura
This map shows the geographic impact of Ryota 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 Ryota Uemura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryota Uemura more than expected).
Fields of papers citing papers by Ryota Uemura
This network shows the impact of papers produced by Ryota 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 Ryota Uemura. The network helps show where Ryota Uemura may publish in the future.
Co-authorship network of co-authors of Ryota Uemura
This figure shows the co-authorship network connecting the top 25 collaborators of Ryota Uemura. A scholar is included among the top collaborators of Ryota Uemura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryota Uemura. Ryota Uemura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 40 | |
| 11 | 36 | |
| 12 | 8 | |
| 13 | 159 | |
| 14 | Bone Marrow Stem Cells Prevent Left Ventricular Remodeling of Ischemic Heart Through Paracrine Signalingbreakdown → | 513 |
| 15 | 97 | |
| 16 | 102 | |
| 17 | 71 | |
| 18 | 1 | |
| 19 | [Left ventricular peak systolic pressure/end-systolic volume ratio change after dobutamine infusion for predicting left ventricular contractile reserve: comparison with Emax]. | 3 |
| 20 | 2 |
About Ryota Uemura
Ryota Uemura is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Biotechnology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (9 papers), Cardiac Imaging and Diagnostics (6 papers) and Acute Myocardial Infarction Research (4 papers). The work is most often cited by research in Genetics (453 citations), Surgery (732 citations) and Biomaterials (203 citations). Ryota Uemura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Meifeng Xu, Muhammad Ashraf, Nauman Ahmad, Kyoichi Mizuno, Masamichi Takano, Kentaro Okamatsu, Fumiyuki Ishibashi, Yigang Wang, Muhammad Ashraf and Ying Dai. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Circulation Research.
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.