Que Liu
Impact in
-
- Diabetes Treatment and Management
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- Cardiovascular Function and Risk Factors
- Cardiac electrophysiology and arrhythmias
- Cardiac Fibrosis and Remodeling
- Heart Failure Treatment and Management
Papers in
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- Diabetes Treatment and Management 3
- Hormonal Regulation and Hypertension 1
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- Renin-Angiotensin System Studies 2
- Blood Pressure and Hypertension Studies 1
- Co-authors
- Alexander S. Clanachan (2 shared papers)Gary D. Lopaschuk (2 shared papers)John C. Docherty (1 shared paper)David G. Parkes (3 shared papers)Alain Baron (2 shared papers)Xiaohong Tracey Gan (1 shared paper)Morris Karmazyn (1 shared paper)Larry Fliegel (1 shared paper)
- Journals
- Cardiovascular Diabetology (2 papers)Blood (1 paper)Journal of the American College of Cardiology (1 paper)Hypertension (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Que Liu
11 papers receiving 586 citations
Peers
Comparison fields: 5 of 40
- Endocrinology, Diabetes and Metabolism 189
- Cardiology and Cardiovascular Medicine 253
- Pathology and Forensic Medicine 135
- Biochemistry 18
- Internal Medicine 8
Countries citing papers authored by Que Liu
This map shows the geographic impact of Que 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 Que Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Que Liu more than expected).
Fields of papers citing papers by Que Liu
This network shows the impact of papers produced by Que 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 Que Liu. The network helps show where Que Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Que Liu, 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 | 2002 | 216 | |
| 2 | 2010 | 109 | |
| 3 | 2003 | 99 | |
| 4 | 2010 | 59 | |
| 5 | 2010 | 47 | |
| 6 | 2011 | 37 | |
| 7 | 1998 | 34 | |
| 8 | 2006 | 3 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2023 | 1 |
About Que Liu
Que Liu is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Biological Psychiatry and Behavioral Neuroscience, having authored 11 papers that have together received 609 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (3 papers), Cardiac Ischemia and Reperfusion (2 papers), Renin-Angiotensin System Studies (2 papers), Hemophilia Treatment and Research (1 paper), Blood Pressure and Hypertension Studies (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Hormonal Regulation and Hypertension (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (189 citations), Cardiology and Cardiovascular Medicine (253 citations), Pathology and Forensic Medicine (135 citations), Biochemistry (18 citations) and Internal Medicine (8 citations). Que Liu has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Alexander S. Clanachan, Gary D. Lopaschuk, John C. Docherty, David G. Parkes, Alain Baron, Xiaohong Tracey Gan, Morris Karmazyn, Larry Fliegel, Christen M. Anderson and Gan‐Xin Yan. Their work appears in journals such as Cardiovascular Diabetology, Blood, Journal of the American College of Cardiology, Hypertension and Journal of Hepatology.
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.