Tuck Wah Soong
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 29
- Neuroscience and Neural Engineering 8
- Sensory Systems top 1%
- Molecular Biology top 1%
- Ion channel regulation and function 52
- RNA regulation and disease 11
- Nicotinic Acetylcholine Receptors Study 11
- RNA and protein synthesis mechanisms 10
- RNA Research and Splicing 10
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- Cardiac electrophysiology and arrhythmias 25
- Neurology top 5%
- Co-authors
- Anthony SteaDavid T. YueDejie YuEmmanuel BourinetTerry P. SnutchPing LiaoMui Cheng LiangStefan Dübel
- Journals
- Journal of Biological Chemistry (10 papers)Proceedings of the National Academy of Sciences (6 papers)Journal of Neuroscience (6 papers)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Tuck Wah Soong
108 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 138
- Cellular and Molecular Neuroscience 3.0k
- Sensory Systems 371
- Molecular Biology 4.6k
- Cardiology and Cardiovascular Medicine 1.4k
- Neurology 249
Countries citing papers authored by Tuck Wah Soong
This map shows the geographic impact of Tuck Wah Soong'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 Tuck Wah Soong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuck Wah Soong more than expected).
Fields of papers citing papers by Tuck Wah Soong
This network shows the impact of papers produced by Tuck Wah Soong. 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 Tuck Wah Soong. The network helps show where Tuck Wah Soong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tuck Wah Soong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 36 | |
| 4 | 2018 | 29 | |
| 5 | 2018 | 21 | |
| 6 | 2018 | 34 | |
| 7 | 2018 | 11 | |
| 8 | 2017 | 44 | |
| 9 | 2017 | 15 | |
| 10 | 2013 | 31 | |
| 11 | 2011 | 73 | |
| 12 | 2009 | 37 | |
| 13 | 2008 | 58 | |
| 14 | 2007 | 14 | |
| 15 | 2006 | 57 | |
| 16 | 2006 | 15 | |
| 17 | 2005 | 53 | |
| 18 | 2000 | 15 | |
| 19 | 1996 | 118 | |
| 20 | 1995 | 194 |
About Tuck Wah Soong
Tuck Wah Soong is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Cardiology and Cardiovascular Medicine, having authored 110 papers that have together received 6.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (52 papers), Neuroscience and Neuropharmacology Research (29 papers), Cardiac electrophysiology and arrhythmias (25 papers), RNA regulation and disease (11 papers), Nicotinic Acetylcholine Receptors Study (11 papers), RNA and protein synthesis mechanisms (10 papers), RNA Research and Splicing (10 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.0k citations), Sensory Systems (371 citations) and Molecular Biology (4.6k citations). Tuck Wah Soong has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Anthony Stea, David T. Yue, Dejie Yu, Emmanuel Bourinet, Terry P. Snutch, Ping Liao, Mui Cheng Liang, Stefan Dübel, T P Snutch and Carla D. DeMaria. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Neuroscience, Pflügers Archiv - European Journal of Physiology and Scientific Reports.
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.