Fading Chen
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 4
-
- Neuroscience and Neuropharmacology Research 2
- Neurobiology and Insect Physiology Research 1
- Co-authors
- Hui Zheng (5 shared papers)Zhandong Liu (2 shared papers)Allysa L. Cole (3 shared papers)Nicholas E. Propson (2 shared papers)Dan B. Swartzlander (2 shared papers)Alexandra Litvinchuk (2 shared papers)Ying-Wooi Wan (1 shared paper)Bin Zhang (1 shared paper)
- Journals
- Neural Development (2 papers)Science Translational Medicine (1 paper)The Journal of Physiology (1 paper)Neuron (1 paper)Alzheimer s & Dementia (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Fading Chen
12 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 78
- Neurology 343
- Biological Psychiatry 55
- Physiology 335
- Aging 19
- Developmental Neuroscience 41
Countries citing papers authored by Fading Chen
This map shows the geographic impact of Fading 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 Fading Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fading Chen more than expected).
Fields of papers citing papers by Fading Chen
This network shows the impact of papers produced by Fading 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 Fading Chen. The network helps show where Fading Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Fading 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 383 | |
| 2 | 2018 | 183 | |
| 3 | 2020 | 100 | |
| 4 | 2015 | 83 | |
| 5 | 2007 | 82 | |
| 6 | 2010 | 75 | |
| 7 | 2021 | 73 | |
| 8 | 2012 | 40 | |
| 9 | 2016 | 29 | |
| 10 | 2017 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2012 | 1 |
About Fading Chen
Fading Chen is a scholar working on Neurology, Cellular and Molecular Neuroscience, Physiology, Immunology and Developmental Neuroscience, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Alzheimer's disease research and treatments (3 papers), Complement system in diseases (2 papers), RNA Research and Splicing (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurobiology and Insect Physiology Research (1 paper), Congenital heart defects research (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Neurology (343 citations), Biological Psychiatry (55 citations), Physiology (335 citations), Aging (19 citations) and Developmental Neuroscience (41 citations). Fading Chen has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Hui Zheng, Zhandong Liu, Allysa L. Cole, Nicholas E. Propson, Dan B. Swartzlander, Alexandra Litvinchuk, Ying-Wooi Wan, Bin Zhang, Qian Wang and Anamitra Ghosh. Their work appears in journals such as Neural Development, Science Translational Medicine, The Journal of Physiology, Neuron and Alzheimer s & Dementia.
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.