Chon Lok Lei
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Statistics, Probability and Uncertainty top 5%
- Biomedical Engineering
- Co-authors
- Gary R. MiramsMichael ClerxDavid J. GavaghanDavid J. WhittakerDavid J. ChristiniKen WangLiudmila PolonchukIek Man Lei
- Topics
- Cardiac electrophysiology and arrhythmias (16 papers)Ion channel regulation and function (10 papers)Probabilistic and Robust Engineering Design (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineStatistics, Probability and UncertaintyCellular and Molecular Neuroscience
- Partner nations
- United KingdomMacaoUnited States
In The Last Decade
Chon Lok Lei
30 papers receiving 506 citations
Peers
Comparison fields: 5 of 93
- Cardiology and Cardiovascular Medicine 276
- Molecular Biology 238
- Cellular and Molecular Neuroscience 82
- Statistics, Probability and Uncertainty 78
- Biomedical Engineering 68
Countries citing papers authored by Chon Lok Lei
This map shows the geographic impact of Chon Lok Lei'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 Chon Lok Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chon Lok Lei more than expected).
Fields of papers citing papers by Chon Lok Lei
This network shows the impact of papers produced by Chon Lok Lei. 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 Chon Lok Lei. The network helps show where Chon Lok Lei may publish in the future.
Co-authorship network of co-authors of Chon Lok Lei
This figure shows the co-authorship network connecting the top 25 collaborators of Chon Lok Lei. A scholar is included among the top collaborators of Chon Lok Lei 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 Chon Lok Lei. Chon Lok Lei 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 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 5 | |
| 14 | 41 | |
| 15 | 7 | |
| 16 | 45 | |
| 17 | 36 | |
| 18 | 69 | |
| 19 | 29 | |
| 20 | 42 |
About Chon Lok Lei
Chon Lok Lei is a scholar working on Statistics, Probability and Uncertainty, Cardiology and Cardiovascular Medicine and Modeling and Simulation, having authored 31 papers that have together received 511 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (16 papers), Ion channel regulation and function (10 papers) and Probabilistic and Robust Engineering Design (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (276 citations), Statistics, Probability and Uncertainty (78 citations) and Cellular and Molecular Neuroscience (82 citations). Chon Lok Lei has collaborated with scholars based in United Kingdom, Macao and United States. Frequent co-authors include Gary R. Mirams, Michael Clerx, David J. Gavaghan, David J. Whittaker, David J. Christini, Ken Wang, Liudmila Polonchuk, Iek Man Lei, Ben Lambert and Yan Yan Shery Huang. Their work appears in journals such as Nature Communications, Scientific Reports and International Journal of Molecular Sciences.
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.