Cheuk To Chung
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Surgery
- Endocrinology, Diabetes and Metabolism
- Physiology
- Co-authors
- Gary TseSharen LeeTong LiuGeorge BazoukisAntonis A. ArmoundasOscar Hou In ChouJiandong ZhouEmma King
- Topics
- Diabetes Treatment and Management (9 papers)Cardiac electrophysiology and arrhythmias (9 papers)ECG Monitoring and Analysis (8 papers)
- Cited by
- Health InformaticsCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Heart AssociationJournal of Clinical Sleep Medicine
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Cheuk To Chung
23 papers receiving 237 citations
Peers
Comparison fields: 5 of 55
- Cardiology and Cardiovascular Medicine 109
- Molecular Biology 61
- Surgery 45
- Endocrinology, Diabetes and Metabolism 41
- Physiology 34
Countries citing papers authored by Cheuk To Chung
This map shows the geographic impact of Cheuk To Chung'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 Cheuk To Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheuk To Chung more than expected).
Fields of papers citing papers by Cheuk To Chung
This network shows the impact of papers produced by Cheuk To Chung. 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 Cheuk To Chung. The network helps show where Cheuk To Chung may publish in the future.
Co-authorship network of co-authors of Cheuk To Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Cheuk To Chung. A scholar is included among the top collaborators of Cheuk To Chung 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 Cheuk To Chung. Cheuk To Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 23 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 41 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 17 | |
| 15 | 2 | |
| 16 | 16 | |
| 17 | 2 | |
| 18 | 21 | |
| 19 | 1 | |
| 20 | 13 |
About Cheuk To Chung
Cheuk To Chung is a scholar working on Health Informatics, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 240 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Cardiac electrophysiology and arrhythmias (9 papers) and ECG Monitoring and Analysis (8 papers). The work is most often cited by research in Health Informatics (17 citations), Cardiology and Cardiovascular Medicine (109 citations) and Endocrinology, Diabetes and Metabolism (41 citations). Cheuk To Chung has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Gary Tse, Sharen Lee, Tong Liu, George Bazoukis, Antonis A. Armoundas, Oscar Hou In Chou, Jiandong Zhou, Emma King, Wing Tak Wong and Κonstantinos P. Letsas. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Heart Association and Journal of Clinical Sleep Medicine.
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.