Ta‐Fu Chen
Impact in
- Psychiatry and Mental health top 1%
- Dementia and Cognitive Impairment Research
- Physiology top 2%
- Alzheimer's disease research and treatments
Papers in
- Physiology 47
- Alzheimer's disease research and treatments 40
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- Dementia and Cognitive Impairment Research 44
- Co-authors
- Ming‐Jang Chiu (74 shared papers)Shieh‐Yueh Yang (22 shared papers)Yu Sun (25 shared papers)Mau‐Sun Hua (18 shared papers)Yen‐Ching Chen (36 shared papers)Ping‐Keung Yip (20 shared papers)Jen‐Hau Chen (33 shared papers)Ya‐Fang Chen (15 shared papers)
- Journals
- Alzheimer s & Dementia (13 papers)PLoS ONE (9 papers)Journal of Alzheimer s Disease (9 papers)Scientific Reports (5 papers)ACS Chemical Neuroscience (5 papers)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Ta‐Fu Chen
138 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 157
- Psychiatry and Mental health 1.1k
- Physiology 1.1k
- Neurology 274
- Geriatrics and Gerontology 102
- Neurology 366
Countries citing papers authored by Ta‐Fu Chen
This map shows the geographic impact of Ta‐Fu Chen'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 Ta‐Fu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ta‐Fu Chen more than expected).
Fields of papers citing papers by Ta‐Fu Chen
This network shows the impact of papers produced by Ta‐Fu Chen. 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 Ta‐Fu Chen. The network helps show where Ta‐Fu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ta‐Fu Chen, 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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 188 | |
| 2 | 2015 | 156 | |
| 3 | 2017 | 149 | |
| 4 | 2013 | 120 | |
| 5 | 2013 | 117 | |
| 6 | 2006 | 113 | |
| 7 | 2017 | 113 | |
| 8 | 2011 | 111 | |
| 9 | 2018 | 104 | |
| 10 | 2014 | 91 | |
| 11 | 2017 | 91 | |
| 12 | 2009 | 74 | |
| 13 | 2007 | 73 | |
| 14 | 2012 | 65 | |
| 15 | 2009 | 62 | |
| 16 | 2017 | 62 | |
| 17 | 2018 | 56 | |
| 18 | 2012 | 52 | |
| 19 | 2017 | 49 | |
| 20 | 2018 | 48 |
About Ta‐Fu Chen
Ta‐Fu Chen is a scholar working on Physiology, Psychiatry and Mental health, Neurology, Cognitive Neuroscience and Molecular Biology, having authored 139 papers that have together received 3.6k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (44 papers), Alzheimer's disease research and treatments (40 papers), Parkinson's Disease Mechanisms and Treatments (14 papers), Air Quality and Health Impacts (11 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Neurobiology of Language and Bilingualism (7 papers), Air Quality Monitoring and Forecasting (6 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Psychiatry and Mental health (1.1k citations), Physiology (1.1k citations), Neurology (274 citations), Geriatrics and Gerontology (102 citations) and Neurology (366 citations). Ta‐Fu Chen has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Ming‐Jang Chiu, Shieh‐Yueh Yang, Yu Sun, Mau‐Sun Hua, Yen‐Ching Chen, Ping‐Keung Yip, Jen‐Hau Chen, Ya‐Fang Chen, Ting‐Wen Cheng and H. E. Horng. Their work appears in journals such as Alzheimer s & Dementia, PLoS ONE, Journal of Alzheimer s Disease, Scientific Reports and ACS Chemical Neuroscience.
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.