Chi Keung Lam
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 10%
- Surgery
- Biomedical Engineering
- Co-authors
- Joseph C. WuEvangelia G. KraniasNan MaWenfeng CaiJoe Z. ZhangLei TianTomoya KitaniNazish Sayed
- Topics
- Cardiac electrophysiology and arrhythmias (12 papers)Cardiomyopathy and Myosin Studies (11 papers)Ion channel regulation and function (8 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationJournal of Clinical Investigation
- Partner nations
- United StatesGreeceItaly
In The Last Decade
Chi Keung Lam
34 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 993
- Cardiology and Cardiovascular Medicine 633
- Cellular and Molecular Neuroscience 189
- Surgery 158
- Biomedical Engineering 131
Countries citing papers authored by Chi Keung Lam
This map shows the geographic impact of Chi Keung Lam'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 Chi Keung Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Keung Lam more than expected).
Fields of papers citing papers by Chi Keung Lam
This network shows the impact of papers produced by Chi Keung Lam. 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 Chi Keung Lam. The network helps show where Chi Keung Lam may publish in the future.
Co-authorship network of co-authors of Chi Keung Lam
This figure shows the co-authorship network connecting the top 25 collaborators of Chi Keung Lam. A scholar is included among the top collaborators of Chi Keung Lam 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 Chi Keung Lam. Chi Keung Lam 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 | 5 | |
| 3 | 18 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 39 | |
| 7 | 148 | |
| 8 | 94 | |
| 9 | 90 | |
| 10 | 99 | |
| 11 | 15 | |
| 12 | 102 | |
| 13 | 35 | |
| 14 | 20 | |
| 15 | 19 | |
| 16 | 59 | |
| 17 | 10 | |
| 18 | 12 | |
| 19 | 18 | |
| 20 | 148 |
About Chi Keung Lam
Chi Keung Lam is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (12 papers), Cardiomyopathy and Myosin Studies (11 papers) and Ion channel regulation and function (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (633 citations), Molecular Biology (993 citations) and Cellular and Molecular Neuroscience (189 citations). Chi Keung Lam has collaborated with scholars based in United States, Greece and Italy. Frequent co-authors include Joseph C. Wu, Evangelia G. Kranias, Nan Ma, Wenfeng Cai, Joe Z. Zhang, Lei Tian, Tomoya Kitani, Nazish Sayed, Angelos Oikonomopoulos and Roger J. Hajjar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.
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.