Chih‐Yung Tang
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Cognitive Neuroscience top 10%
- Behavioral Neuroscience top 5%
- Co-authors
- Stephen G. BrickleyMark FarrantIstván MódyBrandon M. StellDiane M. PapazianTsung‐Yu ChenChung‐Jiuan JengChung-Jiuan Jeng
- Topics
- Ion channel regulation and function (22 papers)Genetic Neurodegenerative Diseases (12 papers)Cardiac electrophysiology and arrhythmias (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chih‐Yung Tang
43 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 890
- Cellular and Molecular Neuroscience 876
- Cardiology and Cardiovascular Medicine 241
- Cognitive Neuroscience 175
- Behavioral Neuroscience 121
Countries citing papers authored by Chih‐Yung Tang
This map shows the geographic impact of Chih‐Yung Tang'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 Chih‐Yung Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Yung Tang more than expected).
Fields of papers citing papers by Chih‐Yung Tang
This network shows the impact of papers produced by Chih‐Yung Tang. 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 Chih‐Yung Tang. The network helps show where Chih‐Yung Tang may publish in the future.
Co-authorship network of co-authors of Chih‐Yung Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Yung Tang. A scholar is included among the top collaborators of Chih‐Yung Tang 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 Chih‐Yung Tang. Chih‐Yung Tang 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 | 0 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 16 | |
| 6 | 15 | |
| 7 | 15 | |
| 8 | 55 | |
| 9 | 104 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 33 | |
| 13 | 2 | |
| 14 | 15 | |
| 15 | 2 | |
| 16 | 21 | |
| 17 | 5 | |
| 18 | 12 | |
| 19 | 15 | |
| 20 | 24 |
About Chih‐Yung Tang
Chih‐Yung Tang is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Sensory Systems, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (22 papers), Genetic Neurodegenerative Diseases (12 papers) and Cardiac electrophysiology and arrhythmias (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (876 citations), Behavioral Neuroscience (121 citations) and Biological Psychiatry (37 citations). Chih‐Yung Tang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Stephen G. Brickley, Mark Farrant, István Módy, Brandon M. Stell, Diane M. Papazian, Tsung‐Yu Chen, Chung‐Jiuan Jeng, Chung-Jiuan Jeng, Yi-Wen Chen and Francisco Bezanilla. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.