Pingping Chen
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
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- Cancer-related molecular mechanisms research
Papers in ⓘ
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- Neuroinflammation and Neurodegeneration Mechanisms 5
- Neurological Disease Mechanisms and Treatments 3
- Co-authors
- Bin Li (1 shared paper)Ho Lam Chan (1 shared paper)Edmond Teng (3 shared papers)Fusheng Yang (4 shared papers)Sally A. Frautschy (4 shared papers)Xiaohong Zuo (2 shared papers)Greg M. Cole (2 shared papers)Oliver J. Ubeda (2 shared papers)
- Journals
- Neurobiology of Disease (2 papers)Journal of Cellular Biochemistry (1 paper)Scientific Reports (1 paper)Food and Chemical Toxicology (1 paper)Journal of the American Society for Mass Spectrometry (1 paper)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Pingping Chen
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Molecular Medicine 92
- Cancer Research 157
- Oncology 278
- Neurology 83
- Immunology 190
Countries citing papers authored by Pingping Chen
This map shows the geographic impact of Pingping 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 Pingping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingping Chen more than expected).
Fields of papers citing papers by Pingping Chen
This network shows the impact of papers produced by Pingping 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 Pingping Chen. The network helps show where Pingping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingping 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 345 | |
| 2 | 2012 | 159 | |
| 3 | 2008 | 86 | |
| 4 | 2015 | 69 | |
| 5 | 2015 | 54 | |
| 6 | 2021 | 43 | |
| 7 | 2021 | 36 | |
| 8 | 2017 | 35 | |
| 9 | 2011 | 33 | |
| 10 | 2021 | 33 | |
| 11 | 2021 | 33 | |
| 12 | 2014 | 31 | |
| 13 | 2018 | 31 | |
| 14 | 2021 | 30 | |
| 15 | 2013 | 30 | |
| 16 | 2009 | 29 | |
| 17 | 2020 | 28 | |
| 18 | 2015 | 28 | |
| 19 | 2021 | 26 | |
| 20 | 2016 | 21 |
About Pingping Chen
Pingping Chen is a scholar working on Neurology, Applied Microbiology and Biotechnology, Cellular and Molecular Neuroscience, Cancer Research and Obstetrics and Gynecology, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Extracellular vesicles in disease (4 papers), Neonatal Respiratory Health Research (4 papers), Axon Guidance and Neuronal Signaling (3 papers), Autophagy in Disease and Therapy (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Flavonoids in Medical Research (3 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Molecular Medicine (92 citations), Cancer Research (157 citations), Oncology (278 citations), Neurology (83 citations) and Immunology (190 citations). Pingping Chen has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Bin Li, Ho Lam Chan, Edmond Teng, Fusheng Yang, Sally A. Frautschy, Xiaohong Zuo, Greg M. Cole, Oliver J. Ubeda, Shuxin Hu and Qiu‐Lan Ma. Their work appears in journals such as Neurobiology of Disease, Journal of Cellular Biochemistry, Scientific Reports, Food and Chemical Toxicology and Journal of the American Society for Mass Spectrometry.
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.