Ping‐Chung Chen
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
-
- Ubiquitin and proteasome pathways 6
- Metabolomics and Mass Spectrometry Studies 2
- DNA Repair Mechanisms 1
-
- Advanced Proteomics Techniques and Applications 4
- Co-authors
- Junmin Peng (9 shared papers)Yuxin Li (6 shared papers)Xusheng Wang (6 shared papers)Kaushik Dey (4 shared papers)Hong Wang (3 shared papers)Scott M. Wilson (4 shared papers)Bing Bai (2 shared papers)Thomas G. Beach (4 shared papers)
- Journals
- Molecular & Cellular Proteomics (2 papers)Molecular Neurodegeneration (2 papers)Developmental Biology (1 paper)Analytical Chemistry (1 paper)Clinical Proteomics (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ping‐Chung Chen
13 papers receiving 627 citations
Peers
Comparison fields: 5 of 66
- Biological Psychiatry 19
- Physiology 192
- Neurology 49
- Spectroscopy 105
- Molecular Biology 378
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 157 | |
| 2 | 2020 | 123 | |
| 3 | 2019 | 106 | |
| 4 | 2013 | 45 | |
| 5 | 2008 | 38 | |
| 6 | 2015 | 34 | |
| 7 | 2014 | 31 | |
| 8 | 2012 | 31 | |
| 9 | 2022 | 26 | |
| 10 | 2015 | 23 | |
| 11 | 2023 | 12 | |
| 12 | 2022 | 5 | |
| 13 | 2020 | 2 |
About Ping‐Chung Chen
Ping‐Chung Chen is a scholar working on Molecular Biology, Spectroscopy, Cellular and Molecular Neuroscience, Physiology and Genetics, having authored 13 papers that have together received 633 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Advanced Proteomics Techniques and Applications (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Alzheimer's disease research and treatments (3 papers), Genetic Neurodegenerative Diseases (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), DNA Repair Mechanisms (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Biological Psychiatry (19 citations), Physiology (192 citations), Neurology (49 citations), Spectroscopy (105 citations) and Molecular Biology (378 citations). Ping‐Chung Chen has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Junmin Peng, Yuxin Li, Xusheng Wang, Kaushik Dey, Hong Wang, Scott M. Wilson, Bing Bai, Thomas G. Beach, Ji-Hoon Cho and Suresh Poudel. Their work appears in journals such as Molecular & Cellular Proteomics, Molecular Neurodegeneration, Developmental Biology, Analytical Chemistry and Clinical Proteomics.
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.