Chin‐Chang Huang
- Neurology top 2%
- Molecular Biology
- Health, Toxicology and Mutagenesis top 2%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Co-authors
- Hung‐Chou KuoNai‐Shin ChuY‐F LiawMargaret ChenGeorge KuoSu‐Jen Lin TsaiTzu‐Chen YenN.-S. Chu
- Topics
- Parkinson's Disease Mechanisms and Treatments (21 papers)Alzheimer's disease research and treatments (19 papers)Genetic Neurodegenerative Diseases (18 papers)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Chin‐Chang Huang
141 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 160
- Neurology 699
- Molecular Biology 675
- Health, Toxicology and Mutagenesis 464
- Cellular and Molecular Neuroscience 432
- Physiology 407
Countries citing papers authored by Chin‐Chang Huang
This map shows the geographic impact of Chin‐Chang Huang'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 Chin‐Chang Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin‐Chang Huang more than expected).
Fields of papers citing papers by Chin‐Chang Huang
This network shows the impact of papers produced by Chin‐Chang Huang. 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 Chin‐Chang Huang. The network helps show where Chin‐Chang Huang may publish in the future.
Co-authorship network of co-authors of Chin‐Chang Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Chang Huang. A scholar is included among the top collaborators of Chin‐Chang Huang 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 Chin‐Chang Huang. Chin‐Chang Huang 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 | 2 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 49 | |
| 6 | 3 | |
| 7 | 23 | |
| 8 | 20 | |
| 9 | 31 | |
| 10 | 15 | |
| 11 | Autosomal Dominant Myotonia Congenita in a Taiwanese Family and Beneficial Response to Mexiletine | 3 |
| 12 | Acute Haemorrhagic Leukoencephalitis: Report of a Case | 1 |
| 13 | Fatal and non-fatal chromobacterial septicemia: report of two cases. | 11 |
| 14 | 33 | |
| 15 | 350 | |
| 16 | 27 | |
| 17 | 6 | |
| 18 | 11 | |
| 19 | 28 | |
| 20 | 108 |
About Chin‐Chang Huang
Chin‐Chang Huang is a scholar working on Neurology, Clinical Biochemistry and Cellular and Molecular Neuroscience, having authored 141 papers that have together received 3.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (21 papers), Alzheimer's disease research and treatments (19 papers) and Genetic Neurodegenerative Diseases (18 papers). The work is most often cited by research in Neurology (699 citations), Hepatology (297 citations) and Health, Toxicology and Mutagenesis (464 citations). Chin‐Chang Huang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Hung‐Chou Kuo, Nai‐Shin Chu, Y‐F Liaw, Margaret Chen, George Kuo, Su‐Jen Lin Tsai, Tzu‐Chen Yen, N.-S. Chu, Chin‐Song Lu and Donald B. Calne. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Hepatology.
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.