Chikao Uyama
- Cardiology and Cardiovascular Medicine
- Biomedical Engineering
- Surgery
- Radiation top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Masami AndoTakeshi KomodaKazuyuki HyodoHenryk SiniawskiRoland HetzerHiroshi SugiyamaAnton MaksimenkoHajime Maeta
- Topics
- Cardiac Valve Diseases and Treatments (15 papers)Medical Imaging Techniques and Applications (9 papers)Cardiac Structural Anomalies and Repair (8 papers)
In The Last Decade
Chikao Uyama
40 papers receiving 324 citations
Peers
Comparison fields: 5 of 46
- Cardiology and Cardiovascular Medicine 137
- Biomedical Engineering 114
- Surgery 106
- Radiation 105
- Radiology, Nuclear Medicine and Imaging 105
Countries citing papers authored by Chikao Uyama
This map shows the geographic impact of Chikao Uyama'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 Chikao Uyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chikao Uyama more than expected).
Fields of papers citing papers by Chikao Uyama
This network shows the impact of papers produced by Chikao Uyama. 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 Chikao Uyama. The network helps show where Chikao Uyama may publish in the future.
Co-authorship network of co-authors of Chikao Uyama
This figure shows the co-authorship network connecting the top 25 collaborators of Chikao Uyama. A scholar is included among the top collaborators of Chikao Uyama 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 Chikao Uyama. Chikao Uyama 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 | Simple X-Ray Dark- and Bright-Field Imaging Using Achromatic Laue Optics : Instrumentation, Measurement, and Fabrication Technology | 0 |
| 3 | 26 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | Estimating the Two-Dimensional Blood Flow Velocity Map from Cineangiograms: Algorithm Using an Initial Guess and Its Application to an Abdominal Aneurysm | 2 |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 3 |
About Chikao Uyama
Chikao Uyama is a scholar working on Radiation, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 336 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (15 papers), Medical Imaging Techniques and Applications (9 papers) and Cardiac Structural Anomalies and Repair (8 papers). The work is most often cited by research in Radiation (105 citations), Structural Biology (13 citations) and Cardiology and Cardiovascular Medicine (137 citations). Chikao Uyama has collaborated with scholars based in Japan, Germany and Indonesia. Frequent co-authors include Masami Ando, Takeshi Komoda, Kazuyuki Hyodo, Henryk Siniawski, Roland Hetzer, Hiroshi Sugiyama, Anton Maksimenko, Hajime Maeta, J. Hofmeister and Roland Felix. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Experimental Biology and Journal of Biomedical Materials 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.