Fading Chen

1.2k total citations
10 papers, 796 citations indexed

About

Fading Chen is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Fading Chen has authored 10 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Physiology. Recurrent topics in Fading Chen's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Alzheimer's disease research and treatments (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Fading Chen is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Alzheimer's disease research and treatments (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Fading Chen collaborates with scholars based in United States, China and Switzerland. Fading Chen's co-authors include Hui Zheng, Allysa Cole, Zhandong Liu, Dan Swartzlander, Nicholas E. Propson, Alexandra Litvinchuk, Ying-Wooi Wan, Qian Wang, Bin Zhang and Anamitra Ghosh and has published in prestigious journals such as Neuron, The Journal of Experimental Medicine and Development.

In The Last Decade

Fading Chen

10 papers receiving 788 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fading Chen United States 7 361 348 278 131 105 10 796
Maj‐Linda B. Selenica United States 13 246 0.7× 379 1.1× 262 0.9× 91 0.7× 50 0.5× 19 717
Michael R. Strickland United States 12 324 0.9× 304 0.9× 225 0.8× 85 0.6× 127 1.2× 16 713
Miguel Moutinho United States 17 359 1.0× 310 0.9× 403 1.4× 135 1.0× 181 1.7× 29 925
I. Janssen Netherlands 12 406 1.1× 345 1.0× 222 0.8× 118 0.9× 153 1.5× 14 865
Ludmila A. Voloboueva United States 13 422 1.2× 221 0.6× 573 2.1× 236 1.8× 121 1.2× 18 1.2k
Jennifer Rodriguez-Rivera United States 8 455 1.3× 490 1.4× 376 1.4× 226 1.7× 133 1.3× 8 1.0k
Mikael Marttinen Finland 12 187 0.5× 344 1.0× 320 1.2× 115 0.9× 42 0.4× 21 760
Ramona Belfiore Italy 6 166 0.5× 383 1.1× 406 1.5× 155 1.2× 72 0.7× 7 808
Annamaria Lanzillotta Italy 18 272 0.8× 261 0.8× 394 1.4× 165 1.3× 123 1.2× 26 926

Countries citing papers authored by Fading Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fading Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Fading Chen. A scholar is included among the top collaborators of Fading Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fading Chen. Fading Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chen, Fading, Dan Swartzlander, Anamitra Ghosh, et al.. (2021). Clusterin secreted from astrocyte promotes excitatory synaptic transmission and ameliorates Alzheimer’s disease neuropathology. Molecular Neurodegeneration. 16(1). 5–5. 64 indexed citations
2.
Ghosh, Anamitra, Debin Wan, Fading Chen, et al.. (2020). An epoxide hydrolase inhibitor reduces neuroinflammation in a mouse model of Alzheimer’s disease. Science Translational Medicine. 12(573). 84 indexed citations
3.
Litvinchuk, Alexandra, Ying-Wooi Wan, Dan Swartzlander, et al.. (2018). Complement C3aR Inactivation Attenuates Tau Pathology and Reverses an Immune Network Deregulated in Tauopathy Models and Alzheimer’s Disease. Neuron. 100(6). 1337–1353.e5. 339 indexed citations
4.
Martini‐Stoica, Heidi, Allysa Cole, Daniel B. Swartzlander, et al.. (2018). TFEB enhances astroglial uptake of extracellular tau species and reduces tau spreading. The Journal of Experimental Medicine. 215(9). 2355–2377. 166 indexed citations
5.
Chen, Fading & Benjamin J. Hall. (2017). Synaptic activity suppresses expression of neurogenic differentiation factor 2 in an NMDA receptor-dependent manner. Synapse. 71(9). e21986–e21986. 1 indexed citations
6.
Litvinchuk, Alexandra, et al.. (2017). [O1–14–03]: THE ROLE OF COMPLEMENT C3 AND C3AR RECEPTOR IN TAU PATHOLOGY IN ALZHEIMER's DISEASE. Alzheimer s & Dementia. 13(7S_Part_4). 2 indexed citations
7.
Chen, Fading, Jacqueline Moran, Yihui Zhang, et al.. (2016). The transcription factor NeuroD2 coordinates synaptic innervation and cell intrinsic properties to control excitability of cortical pyramidal neurons. The Journal of Physiology. 594(13). 3729–3744. 27 indexed citations
8.
Ye, Wenduo, Jun Wang, Yingnan Song, et al.. (2015). A common Shox2-Nkx2-5 antagonistic mechanism primes the pacemaking cell fate in the pulmonary vein myocardium and sinoatrial node. Development. 142(14). 2521–32. 78 indexed citations
9.
Wilke, Scott A., Benjamin J. Hall, Joseph K. Antonios, et al.. (2012). NeuroD2 regulates the development of hippocampal mossy fiber synapses. Neural Development. 7(1). 9–9. 34 indexed citations
10.
Wilke, Scott A., Benjamin J. Hall, Joseph K. Antonios, et al.. (2012). NeuroD2 regulates the development of hippocampal mossy fiber synapses. Neural Development. 7(1). 9–9. 1 indexed citations

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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