Chin‐Chang Huang

4.7k citations
141 papers · 3.2k indexed · h-index 31

Chin‐Chang Huang

141 papers receiving 3.1k citations

Peers

Chin‐Chang Huang
Comparison fields: 5 of 160
  • Neurology 699
  • Hepatology 297
  • Health, Toxicology and Mutagenesis 464
  • Clinical Biochemistry 191
  • Neurology 214
Replace Shumin M. Zhang with:
Shumin M. Zhang United States
Ki‐Up Lee South Korea
Massimiliano Ruscica Italy
Carmine Vecchione Italy
Li Liu China
Rutai Hui China
Joong‐Yeol Park South Korea
Ferdinando Franzoni Italy
Roy L. Silverstein United States
Takeo Kato Japan
Chin‐Chang Huang relative to Shumin M. Zhang United States Shumin M. Zhang's profile →
Citations per field
00.5×4.5×
Shumin M. Zhang · 1×
Citations per year

Countries citing papers authored by Chin‐Chang Huang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Chin‐Chang Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chin‐Chang Huang Line = papers co-authored together Chin‐Chang Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20242
3 20196
4 20189
5 201849
6 20183
7 201423
8 201420
9 201331
10 201015
11
Autosomal Dominant Myotonia Congenita in a Taiwanese Family and Beneficial Response to Mexiletine
20033
12
Acute Haemorrhagic Leukoencephalitis: Report of a Case
20031
13
Fatal and non-fatal chromobacterial septicemia: report of two cases.
200011
14 199733
15 1997350
16 199627
17 19966
18 199611
19 199428
20 1989108

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), Genetic Neurodegenerative Diseases (18 papers), Dementia and Cognitive Impairment Research (16 papers), Mitochondrial Function and Pathology (15 papers), Metabolism and Genetic Disorders (13 papers), Neurological disorders and treatments (11 papers) and Trace Elements in Health (10 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.

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