Ta‐Fu Chen

4.6k citations
139 papers · 3.6k · h-index 33

Impact in

Papers in

Ta‐Fu Chen

138 papers receiving 3.5k citations

Peers

Ta‐Fu Chen
Comparison fields: 5 of 157
  • Psychiatry and Mental health 1.1k
  • Physiology 1.1k
  • Neurology 274
  • Geriatrics and Gerontology 102
  • Neurology 366
Replace Kathleen M. Hayden with:
Kathleen M. Hayden United States
Qianhua Zhao China
Amy Borenstein Graves United States
Audrey Gabelle France
Julien Dumurgier France
Heather M. Snyder United States
Dong Young Lee South Korea
Gladys E. Maestre United States
Rebecca L. Koscik United States
Ta‐Fu Chen relative to Kathleen M. Hayden United States Kathleen M. Hayden's profile →
Citations per field
00.5×1.5×2.5×
Kathleen M. Hayden · 1×
Citations per year

Countries citing papers authored by Ta‐Fu Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ta‐Fu Chen Line = papers co-authored together Ta‐Fu Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014188
2 2015156
3 2017149
4 2013120
5 2013117
6 2006113
7 2017113
8 2011111
9 2018104
10 201491
11 201791
12 200974
13 200773
14 201265
15 200962
16 201762
17 201856
18 201252
19 201749
20 201848

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.

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