Tak Ming Wong
- Molecular Biology
- Pathology and Forensic Medicine top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 10%
- Emergency Medicine top 5%
- Co-authors
- Michael G. IrwinYe ZhangGennadi M. KravtsovMai ChenJin‐Song BianSong WuJing LiuSharon Tsang
- Topics
- Cardiac Ischemia and Reperfusion (20 papers)Receptor Mechanisms and Signaling (14 papers)Neuropeptides and Animal Physiology (12 papers)
- Journals
- Free Radical Biology and MedicineEndocrinologyJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Tak Ming Wong
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 445
- Pathology and Forensic Medicine 428
- Cardiology and Cardiovascular Medicine 378
- Cellular and Molecular Neuroscience 204
- Emergency Medicine 190
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 | 4 | |
| 2 | 71 | |
| 3 | 10 | |
| 4 | 37 | |
| 5 | 19 | |
| 6 | 56 | |
| 7 | 43 | |
| 8 | 44 | |
| 9 | 30 | |
| 10 | 11 | |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 13 | |
| 15 | 29 | |
| 16 | 12 | |
| 17 | 43 | |
| 18 | 7 | |
| 19 | 15 | |
| 20 | 48 |
About Tak Ming Wong
Tak Ming Wong is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (20 papers), Receptor Mechanisms and Signaling (14 papers) and Neuropeptides and Animal Physiology (12 papers). The work is most often cited by research in Developmental Neuroscience (141 citations), Pathology and Forensic Medicine (428 citations) and Emergency Medicine (190 citations). Tak Ming Wong has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Michael G. Irwin, Ye Zhang, Gennadi M. Kravtsov, Mai Chen, Jin‐Song Bian, Song Wu, Jing Liu, Sharon Tsang, Yiu Wa Kwan and Hongyu Li. Their work appears in journals such as Free Radical Biology and Medicine, Endocrinology and Journal of Pharmacology and Experimental Therapeutics.
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.