Chia‐Ying Liu
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Endocrinology, Diabetes and Metabolism
- Epidemiology
- Co-authors
- David A. BluemkeJoão A.C. LimaJean H. BrittainOliver WiebenScott B. ReederEvrim TürkbeyColin O. WuBharath Ambale‐Venkatesh
- Topics
- Cardiac Imaging and Diagnostics (13 papers)Cardiovascular Function and Risk Factors (13 papers)Advanced MRI Techniques and Applications (8 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Chia‐Ying Liu
31 papers receiving 526 citations
Peers
Comparison fields: 5 of 77
- Cardiology and Cardiovascular Medicine 209
- Molecular Biology 149
- Radiology, Nuclear Medicine and Imaging 131
- Endocrinology, Diabetes and Metabolism 96
- Epidemiology 77
Countries citing papers authored by Chia‐Ying Liu
This map shows the geographic impact of Chia‐Ying Liu'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 Chia‐Ying Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Ying Liu more than expected).
Fields of papers citing papers by Chia‐Ying Liu
This network shows the impact of papers produced by Chia‐Ying Liu. 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 Chia‐Ying Liu. The network helps show where Chia‐Ying Liu may publish in the future.
Co-authorship network of co-authors of Chia‐Ying Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Ying Liu. A scholar is included among the top collaborators of Chia‐Ying Liu 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 Chia‐Ying Liu. Chia‐Ying Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 21 | |
| 4 | 59 | |
| 5 | 17 | |
| 6 | 47 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 35 | |
| 10 | 65 | |
| 11 | 0 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 72 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 35 | |
| 20 | 13 |
About Chia‐Ying Liu
Chia‐Ying Liu is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 32 papers that have together received 533 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (13 papers), Cardiovascular Function and Risk Factors (13 papers) and Advanced MRI Techniques and Applications (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (209 citations), Endocrinology, Diabetes and Metabolism (96 citations) and Radiology, Nuclear Medicine and Imaging (131 citations). Chia‐Ying Liu has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include David A. Bluemke, João A.C. Lima, Jean H. Brittain, Oliver Wieben, Scott B. Reeder, Evrim Türkbey, Colin O. Wu, Bharath Ambale‐Venkatesh, Patricia A. Cleary and David E. Kleiner. Their work appears in journals such as Circulation, Circulation Research and The Journal of Clinical Endocrinology & Metabolism.
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.