Chun‐Wei Chang
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
-
- Microbial Natural Products and Biosynthesis
- Fungal Biology and Applications
Papers in
- Neurology 15
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- Optical Coherence Tomography Applications 4
- Co-authors
- Yih‐Ru Wu (9 shared papers)Shieh‐Yueh Yang (1 shared paper)Yeong‐Hwa Chang (1 shared paper)Ming‐Jen Cheng (4 shared papers)Ih‐Sheng Chen (4 shared papers)Hsun‐Shuo Chang (4 shared papers)Sung‐Yuan Hsieh (3 shared papers)Gwo‐Fang Yuan (2 shared papers)
- Journals
- Scientific Reports (4 papers)Annals of Surgical Oncology (4 papers)Frontiers in Neurology (3 papers)World Neurosurgery (2 papers)Chemistry & Biodiversity (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Chun‐Wei Chang
63 papers receiving 537 citations
Peers
Comparison fields: 5 of 126
- Neurology 151
- Pharmacology 65
- Neurology 30
- Cellular and Molecular Neuroscience 49
- Toxicology 9
Countries citing papers authored by Chun‐Wei Chang
This map shows the geographic impact of Chun‐Wei 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 Chun‐Wei Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Wei Chang more than expected).
Fields of papers citing papers by Chun‐Wei Chang
This network shows the impact of papers produced by Chun‐Wei 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 Chun‐Wei Chang. The network helps show where Chun‐Wei Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Wei 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
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 107 | |
| 2 | 2014 | 30 | |
| 3 | 2022 | 28 | |
| 4 | 2021 | 24 | |
| 5 | 2009 | 19 | |
| 6 | 2018 | 18 | |
| 7 | 2013 | 18 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 16 | |
| 10 | 2019 | 14 | |
| 11 | 2015 | 12 | |
| 12 | 2011 | 11 | |
| 13 | 2014 | 11 | |
| 14 | 2018 | 10 | |
| 15 | 2014 | 10 | |
| 16 | 2016 | 9 | |
| 17 | 2015 | 9 | |
| 18 | 2013 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2012 | 8 |
About Chun‐Wei Chang
Chun‐Wei Chang is a scholar working on Neurology, Biomedical Engineering, Molecular Biology, Surgery and Psychiatry and Mental health, having authored 73 papers that have together received 550 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (5 papers), Head and Neck Cancer Studies (5 papers), Epilepsy research and treatment (5 papers), Natural Fiber Reinforced Composites (5 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Oral Health Pathology and Treatment (4 papers), Multiple Sclerosis Research Studies (4 papers) and Optical Coherence Tomography Applications (4 papers). The work is most often cited by research in Neurology (151 citations), Pharmacology (65 citations), Neurology (30 citations), Cellular and Molecular Neuroscience (49 citations) and Toxicology (9 citations). Chun‐Wei Chang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yih‐Ru Wu, Shieh‐Yueh Yang, Yeong‐Hwa Chang, Ming‐Jen Cheng, Ih‐Sheng Chen, Hsun‐Shuo Chang, Sung‐Yuan Hsieh, Gwo‐Fang Yuan, Kuo‐Hsuan Chang and Ta‐Wei Liu. Their work appears in journals such as Scientific Reports, Annals of Surgical Oncology, Frontiers in Neurology, World Neurosurgery and Chemistry & Biodiversity.
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.