Jia‐Rou Liu
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Epidemiology
- Co-authors
- Lai‐Chu SeeYung‐Hsin YehShang‐Hung ChangLung‐Sheng WuChang‐Fu KuoChi‐Tai KuoYi‐Hsin ChanHsin‐Fu Lee
- Topics
- Atrial Fibrillation Management and Outcomes (12 papers)Diabetes Treatment and Management (7 papers)Venous Thromboembolism Diagnosis and Management (5 papers)
- Cited by
- Internal MedicineCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- TaiwanUnited KingdomSweden
In The Last Decade
Jia‐Rou Liu
35 papers receiving 629 citations
Peers
Comparison fields: 5 of 75
- Cardiology and Cardiovascular Medicine 345
- Endocrinology, Diabetes and Metabolism 184
- Surgery 110
- Pulmonary and Respiratory Medicine 81
- Epidemiology 80
Countries citing papers authored by Jia‐Rou Liu
This map shows the geographic impact of Jia‐Rou 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 Jia‐Rou Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia‐Rou Liu more than expected).
Fields of papers citing papers by Jia‐Rou Liu
This network shows the impact of papers produced by Jia‐Rou 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 Jia‐Rou Liu. The network helps show where Jia‐Rou Liu may publish in the future.
Co-authorship network of co-authors of Jia‐Rou Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jia‐Rou Liu. A scholar is included among the top collaborators of Jia‐Rou 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 Jia‐Rou Liu. Jia‐Rou 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 | 0 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 25 | |
| 5 | 26 | |
| 6 | 29 | |
| 7 | 6 | |
| 8 | 30 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 23 | |
| 12 | 6 | |
| 13 | 57 | |
| 14 | 8 | |
| 15 | 16 | |
| 16 | 28 | |
| 17 | 20 | |
| 18 | 152 | |
| 19 | 25 | |
| 20 | 1 |
About Jia‐Rou Liu
Jia‐Rou Liu is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 652 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (12 papers), Diabetes Treatment and Management (7 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). The work is most often cited by research in Internal Medicine (73 citations), Cardiology and Cardiovascular Medicine (345 citations) and Endocrinology, Diabetes and Metabolism (184 citations). Jia‐Rou Liu has collaborated with scholars based in Taiwan, United Kingdom and Sweden. Frequent co-authors include Lai‐Chu See, Yung‐Hsin Yeh, Shang‐Hung Chang, Lung‐Sheng Wu, Chang‐Fu Kuo, Chi‐Tai Kuo, Yi‐Hsin Chan, Hsin‐Fu Lee, Kuang‐Hui Yu and Ming‐Shien Wen. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE 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.