Hong‐Shiu Chang
- Neurology top 5%
- Peripheral Neuropathies and Disorders 9
- Botulinum Toxin and Related Neurological Disorders 4
- Parkinson's Disease Mechanisms and Treatments 4
- Endocrine and Autonomic Systems top 10%
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies 6
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- Hereditary Neurological Disorders 6
- Rheumatology top 10%
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- Pain Mechanisms and Treatments 5
- Lysosomal Storage Disorders Research 3
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- Cervical and Thoracic Myelopathy 3
- Co-authors
- Rong‐Kuo LyuLong‐Sun RoChiung‐Mei ChenYih‐Ru WuChun‐Che ChuKuo‐Hsuan ChangKevin StarasMichael P. Gilbey
- Partner nations
- TaiwanUnited KingdomUnited States
In The Last Decade
Hong‐Shiu Chang
38 papers receiving 588 citations
Peers
Comparison fields: 5 of 76
- Neurology 225
- Endocrine and Autonomic Systems 62
- Pathology and Forensic Medicine 149
- Cellular and Molecular Neuroscience 103
- Rheumatology 84
Countries citing papers authored by Hong‐Shiu Chang
This map shows the geographic impact of Hong‐Shiu Chang'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 Hong‐Shiu Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong‐Shiu Chang more than expected).
Fields of papers citing papers by Hong‐Shiu Chang
This network shows the impact of papers produced by Hong‐Shiu Chang. 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 Hong‐Shiu Chang. The network helps show where Hong‐Shiu Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hong‐Shiu Chang, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 24 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 1 | |
| 8 | 2016 | 9 | |
| 9 | 2016 | 44 | |
| 10 | 2014 | 7 | |
| 11 | 2013 | 19 | |
| 12 | 2012 | 32 | |
| 13 | 2011 | 28 | |
| 14 | 2009 | 19 | |
| 15 | 2008 | 16 | |
| 16 | 2007 | 25 | |
| 17 | 2002 | 17 | |
| 18 | 2001 | 15 | |
| 19 | 1999 | 39 | |
| 20 | 1996 | 4 |
About Hong‐Shiu Chang
Hong‐Shiu Chang is a scholar working on Neurology, Pathology and Forensic Medicine and Developmental Neuroscience, having authored 39 papers that have together received 603 indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (9 papers), Multiple Sclerosis Research Studies (6 papers), Hereditary Neurological Disorders (6 papers), Pain Mechanisms and Treatments (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Cervical and Thoracic Myelopathy (3 papers) and Lysosomal Storage Disorders Research (3 papers). The work is most often cited by research in Neurology (225 citations), Endocrine and Autonomic Systems (62 citations) and Pathology and Forensic Medicine (149 citations). Hong‐Shiu Chang has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Rong‐Kuo Lyu, Long‐Sun Ro, Chiung‐Mei Chen, Yih‐Ru Wu, Chun‐Che Chu, Kuo‐Hsuan Chang, Kevin Staras, Michael P. Gilbey, Hung‐Chou Kuo and Ming‐Feng Liao. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and The Journal of Physiology.
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.