Ping‐Chung Chen
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
Papers in
- Physiology 13
- Alzheimer's disease research and treatments 13
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- Advanced Proteomics Techniques and Applications 4
- Co-authors
- Scott M. Wilson (7 shared papers)John W. Hanna (2 shared papers)Daniel Finley (2 shared papers)Nevena V. Dimova (1 shared paper)Suzanne Elsasser (1 shared paper)Byung‐Hoon Lee (1 shared paper)Min Jae Lee (1 shared paper)Dong‐Chan Oh (1 shared paper)
- Journals
- Molecular Neurodegeneration (3 papers)Neuron (2 papers)Molecular & Cellular Proteomics (2 papers)Nature Medicine (1 paper)Cell Biochemistry and Biophysics (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Ping‐Chung Chen
26 papers receiving 2.6k citations
Ping‐Chung Chen's Hit Papers
Peers
Comparison fields: 5 of 84
- Physiology 813
- Neurology 166
- Aging 35
- Molecular Biology 1.1k
- Spectroscopy 227
Countries citing papers authored by Ping‐Chung Chen
This map shows the geographic impact of Ping‐Chung 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 Ping‐Chung Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping‐Chung Chen more than expected).
Fields of papers citing papers by Ping‐Chung Chen
This network shows the impact of papers produced by Ping‐Chung 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 Ping‐Chung Chen. The network helps show where Ping‐Chung Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping‐Chung 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Enhancement of proteasome activity by a small-molecule inhibitor of USP14 Hit paper breakdown → | 2010 | 811 |
| 2 | Deep Multilayer Brain Proteomics Identifies Molecular Networks in Alzheimer’s Disease Progression Hit paper breakdown → | 2020 | 413 |
| 3 | 2013 | 273 | |
| 4 | 2021 | 175 | |
| 5 | 2020 | 147 | |
| 6 | 2023 | 138 | |
| 7 | 2019 | 116 | |
| 8 | 2011 | 88 | |
| 9 | 2020 | 61 | |
| 10 | 2013 | 50 | |
| 11 | 2015 | 46 | |
| 12 | 2018 | 38 | |
| 13 | 2022 | 38 | |
| 14 | 2008 | 37 | |
| 15 | 2015 | 36 | |
| 16 | 2014 | 34 | |
| 17 | 2012 | 31 | |
| 18 | 2022 | 29 | |
| 19 | 2015 | 24 | |
| 20 | 2023 | 20 |
About Ping‐Chung Chen
Ping‐Chung Chen is a scholar working on Physiology, Spectroscopy, Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 27 papers that have together received 2.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (13 papers), Ubiquitin and proteasome pathways (7 papers), Advanced Proteomics Techniques and Applications (4 papers), Genetics and Neurodevelopmental Disorders (1 paper), RNA Research and Splicing (1 paper), Protein Degradation and Inhibitors (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Sperm and Testicular Function (1 paper). The work is most often cited by research in Physiology (813 citations), Neurology (166 citations), Aging (35 citations), Molecular Biology (1.1k citations) and Spectroscopy (227 citations). Ping‐Chung Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Scott M. Wilson, John W. Hanna, Daniel Finley, Nevena V. Dimova, Suzanne Elsasser, Byung‐Hoon Lee, Min Jae Lee, Dong‐Chan Oh, Steven P. Gygi and Randall W. King. Their work appears in journals such as Molecular Neurodegeneration, Neuron, Molecular & Cellular Proteomics, Nature Medicine and Cell Biochemistry and Biophysics.
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.