Bin Que
Impact in
-
- Atherosclerosis and Cardiovascular Diseases
- Psoriasis: Treatment and Pathogenesis
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- Cardiac Fibrosis and Remodeling
- Chemotherapy-induced cardiotoxicity and mitigation
Papers in
- Physiology 14
- Obstructive Sleep Apnea Research 14
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- Acute Myocardial Infarction Research 3
- Cardiac, Anesthesia and Surgical Outcomes 2
- Chemotherapy-induced cardiotoxicity and mitigation 2
- Co-authors
- Yingzhong Lin (6 shared papers)Qingwei Ji (6 shared papers)Hui Ai (25 shared papers)Chao Chang (3 shared papers)Jingyao Fan (14 shared papers)Haiying Hu (3 shared papers)Ying Shi (3 shared papers)Wei Gong (16 shared papers)
- Journals
- American Heart Journal (2 papers)Journal of the American College of Cardiology (2 papers)EBioMedicine (2 papers)BMC Cardiovascular Disorders (1 paper)Disease Markers (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bin Que
37 papers receiving 443 citations
Peers
Comparison fields: 5 of 68
- Immunology 104
- Cardiology and Cardiovascular Medicine 88
- Physiology 82
- Genetics 22
- Endocrine and Autonomic Systems 13
Countries citing papers authored by Bin Que
This map shows the geographic impact of Bin Que'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 Bin Que with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Que more than expected).
Fields of papers citing papers by Bin Que
This network shows the impact of papers produced by Bin Que. 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 Bin Que. The network helps show where Bin Que may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Que, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 63 | |
| 2 | 2017 | 54 | |
| 3 | 2022 | 52 | |
| 4 | 2018 | 50 | |
| 5 | 2019 | 44 | |
| 6 | 2019 | 29 | |
| 7 | 2015 | 29 | |
| 8 | 2010 | 14 | |
| 9 | 2023 | 14 | |
| 10 | 2016 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2014 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 3 |
About Bin Que
Bin Que is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 42 papers that have together received 448 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (14 papers), Coronary Interventions and Diagnostics (3 papers), Acute Myocardial Infarction Research (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Immunology (104 citations), Cardiology and Cardiovascular Medicine (88 citations), Physiology (82 citations), Genetics (22 citations) and Endocrine and Autonomic Systems (13 citations). Bin Que has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yingzhong Lin, Qingwei Ji, Hui Ai, Chao Chang, Jingyao Fan, Haiying Hu, Ying Shi, Wei Gong, Tao Zeng and Lei Shi. Their work appears in journals such as American Heart Journal, Journal of the American College of Cardiology, EBioMedicine, BMC Cardiovascular Disorders and Disease Markers.
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.