Tak‐Ming Wong
- Pathology and Forensic Medicine top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Emergency Medicine top 5%
- Co-authors
- Jianming PeiGuanying WangSong WuXiao-Chun YuWeimin ZhangJin‐Song BianJian‐Zhong ShengJing‐Jun Zhou
- Topics
- Ion channel regulation and function (19 papers)Cardiac electrophysiology and arrhythmias (15 papers)Neuroscience and Neuropharmacology Research (11 papers)
In The Last Decade
Tak‐Ming Wong
36 papers receiving 730 citations
Peers
Comparison fields: 5 of 83
- Pathology and Forensic Medicine 331
- Molecular Biology 314
- Cardiology and Cardiovascular Medicine 244
- Cellular and Molecular Neuroscience 191
- Emergency Medicine 182
Countries citing papers authored by Tak‐Ming Wong
This map shows the geographic impact of Tak‐Ming Wong'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 Tak‐Ming Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tak‐Ming Wong more than expected).
Fields of papers citing papers by Tak‐Ming Wong
This network shows the impact of papers produced by Tak‐Ming Wong. 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 Tak‐Ming Wong. The network helps show where Tak‐Ming Wong may publish in the future.
Co-authorship network of co-authors of Tak‐Ming Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Tak‐Ming Wong. A scholar is included among the top collaborators of Tak‐Ming Wong 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 Tak‐Ming Wong. Tak‐Ming Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | Cardioprotection by the female sex hormone -- interaction with the beta₁-adrenoceptor and its signaling pathways. | 3 |
| 3 | 16 | |
| 4 | 32 | |
| 5 | 32 | |
| 6 | 21 | |
| 7 | 8 | |
| 8 | 43 | |
| 9 | Teaching Physiology in the New Medical Curriculum at the University of Hong Kong | 1 |
| 10 | 21 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 21 | |
| 14 | 3 | |
| 15 | 36 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | 14 | |
| 19 | 28 | |
| 20 | 17 |
About Tak‐Ming Wong
Tak‐Ming Wong is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Emergency Medicine, having authored 36 papers that have together received 742 indexed citations. Recurring topics across this work include Ion channel regulation and function (19 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Developmental Neuroscience (118 citations), Emergency Medicine (182 citations) and Pathology and Forensic Medicine (331 citations). Tak‐Ming Wong has collaborated with scholars based in Hong Kong, China and Czechia. Frequent co-authors include Jianming Pei, Guanying Wang, Song Wu, Xiao-Chun Yu, Weimin Zhang, Jin‐Song Bian, Jian‐Zhong Sheng, Jing‐Jun Zhou, Mai Chen and Hongxin Wang. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Anesthesiology and British Journal of Pharmacology.
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.