Cheng-Yi Chang
Impact in
Papers in
-
- CRISPR and Genetic Engineering 3
- Neurology 17
- Neuroinflammation and Neurodegeneration Mechanisms 15
- Neurological Disease Mechanisms and Treatments 4
- Co-authors
- Su‐Lan Liao (32 shared papers)Wen‐Ying Chen (29 shared papers)Stephen L. Helfand (12 shared papers)Hung-Chuan Pan (10 shared papers)Yen‐Chuan Ou (14 shared papers)Chih-Cheng Wu (22 shared papers)Yu‐Hsiang Kuan (16 shared papers)Chun‐Jung Chen (18 shared papers)
- Journals
- International Journal of Molecular Sciences (9 papers)Proceedings of the National Academy of Sciences (4 papers)Aging (4 papers)Antioxidants (3 papers)Toxicology Letters (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Cheng-Yi Chang
54 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 121
- Aging 304
- Neurology 336
- Geriatrics and Gerontology 115
- Biological Psychiatry 48
- Developmental Neuroscience 53
Countries citing papers authored by Cheng-Yi Chang
This map shows the geographic impact of Cheng-Yi 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 Cheng-Yi Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-Yi Chang more than expected).
Fields of papers citing papers by Cheng-Yi Chang
This network shows the impact of papers produced by Cheng-Yi 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 Cheng-Yi Chang. The network helps show where Cheng-Yi Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng-Yi 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 139 | |
| 2 | 2016 | 133 | |
| 3 | 2013 | 107 | |
| 4 | 2005 | 88 | |
| 5 | 2016 | 87 | |
| 6 | 2009 | 87 | |
| 7 | 2013 | 84 | |
| 8 | 2013 | 83 | |
| 9 | 2012 | 81 | |
| 10 | 2008 | 72 | |
| 11 | 2020 | 66 | |
| 12 | 2015 | 64 | |
| 13 | 2013 | 63 | |
| 14 | 2009 | 57 | |
| 15 | 2010 | 55 | |
| 16 | 2007 | 54 | |
| 17 | 2013 | 41 | |
| 18 | 2014 | 38 | |
| 19 | 2019 | 36 | |
| 20 | 2022 | 35 |
About Cheng-Yi Chang
Cheng-Yi Chang is a scholar working on Molecular Biology, Neurology, Aging, Immunology and Physiology, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (15 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers), Neurological Disease Mechanisms and Treatments (4 papers), Chromosomal and Genetic Variations (4 papers), Mosquito-borne diseases and control (4 papers), Prenatal Substance Exposure Effects (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Aging (304 citations), Neurology (336 citations), Geriatrics and Gerontology (115 citations), Biological Psychiatry (48 citations) and Developmental Neuroscience (53 citations). Cheng-Yi Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Su‐Lan Liao, Wen‐Ying Chen, Stephen L. Helfand, Hung-Chuan Pan, Yen‐Chuan Ou, Chih-Cheng Wu, Yu‐Hsiang Kuan, Chun‐Jung Chen, Jian‐Ri Li and Jason G. Wood. Their work appears in journals such as International Journal of Molecular Sciences, Proceedings of the National Academy of Sciences, Aging, Antioxidants and Toxicology Letters.
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.