Yee-Ki Lee
Impact in
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- Cardiomyopathy and Myosin Studies
- Cardiac electrophysiology and arrhythmias
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- Neuroscience and Neural Engineering
Papers in
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- Pluripotent Stem Cells Research 15
- Congenital heart defects research 9
- RNA Research and Splicing 4
- Nuclear Structure and Function 4
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- Cardiac electrophysiology and arrhythmias 5
- Cardiomyopathy and Myosin Studies 4
- Co-authors
- Chung‐Wah Siu (19 shared papers)Kwong‐Man Ng (20 shared papers)Wing‐Hon Lai (22 shared papers)Hung‐Fat Tse (19 shared papers)Yau-Chi Chan (13 shared papers)Yee‐Man Lau (10 shared papers)Ka‐Wing Au (11 shared papers)Hung‐Fat Tse (11 shared papers)
In The Last Decade
Yee-Ki Lee
33 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Cardiology and Cardiovascular Medicine 313
- Cellular and Molecular Neuroscience 273
- Molecular Biology 842
- Surgery 276
- Biochemistry 36
Countries citing papers authored by Yee-Ki Lee
This map shows the geographic impact of Yee-Ki Lee'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 Yee-Ki Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yee-Ki Lee more than expected).
Fields of papers citing papers by Yee-Ki Lee
This network shows the impact of papers produced by Yee-Ki Lee. 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 Yee-Ki Lee. The network helps show where Yee-Ki Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Yee-Ki Lee, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 149 | |
| 2 | 2011 | 125 | |
| 3 | 2011 | 118 | |
| 4 | 2012 | 107 | |
| 5 | 2013 | 83 | |
| 6 | 2010 | 78 | |
| 7 | 2018 | 66 | |
| 8 | 2009 | 62 | |
| 9 | 2010 | 59 | |
| 10 | 2017 | 50 | |
| 11 | 2010 | 46 | |
| 12 | 2010 | 41 | |
| 13 | 2016 | 40 | |
| 14 | 2013 | 40 | |
| 15 | 2020 | 34 | |
| 16 | 2016 | 30 | |
| 17 | 2015 | 30 | |
| 18 | 2011 | 26 | |
| 19 | 2014 | 23 | |
| 20 | 2018 | 23 |
About Yee-Ki Lee
Yee-Ki Lee is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (15 papers), Congenital heart defects research (9 papers), Cardiac electrophysiology and arrhythmias (5 papers), RNA Research and Splicing (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Nuclear Structure and Function (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (313 citations), Cellular and Molecular Neuroscience (273 citations), Molecular Biology (842 citations), Surgery (276 citations) and Biochemistry (36 citations). Yee-Ki Lee has collaborated with scholars based in Hong Kong, China and Italy. Frequent co-authors include Chung‐Wah Siu, Kwong‐Man Ng, Wing‐Hon Lai, Hung‐Fat Tse, Yau-Chi Chan, Yee‐Man Lau, Ka‐Wing Au, Hung‐Fat Tse, Sherwin Ting and Steve Oh. Their work appears in journals such as Stem Cell Research, International Journal of Cardiology, Cellular Reprogramming, Scientific Reports and Stem Cell Research & Therapy.
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.