Pingping Chen
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
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- Axon Guidance and Neuronal Signaling 3
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- Neuroinflammation and Neurodegeneration Mechanisms 4
- Neurological Disease Mechanisms and Treatments 3
- Co-authors
- Ho Lam Chan (1 shared paper)Bin Li (1 shared paper)Fusheng Yang (4 shared papers)Sally Ann Frautschy (4 shared papers)Edmond Teng (3 shared papers)Xiaohong Zuo (2 shared papers)Shuxin Hu (1 shared paper)Oliver J. Ubeda (2 shared papers)
- Journals
- Neurobiology of Disease (2 papers)Scientific Reports (2 papers)Clinical Breast Cancer (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)PEDIATRICS (1 paper)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Pingping Chen
64 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 110
- Molecular Medicine 100
- Oncology 247
- Neurology 78
- Immunology 183
- Physiology 216
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 372 | |
| 2 | 2012 | 183 | |
| 3 | 2008 | 96 | |
| 4 | 2015 | 75 | |
| 5 | 2015 | 56 | |
| 6 | 2021 | 46 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 39 | |
| 9 | 2017 | 39 | |
| 10 | 2011 | 35 | |
| 11 | 2021 | 34 | |
| 12 | 2020 | 33 | |
| 13 | 2018 | 32 | |
| 14 | 2014 | 31 | |
| 15 | 2022 | 31 | |
| 16 | 2021 | 31 | |
| 17 | 2013 | 30 | |
| 18 | 2015 | 29 | |
| 19 | 2009 | 29 | |
| 20 | 2021 | 27 |
About Pingping Chen
Pingping Chen is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neonatal Respiratory Health Research (4 papers), Extracellular vesicles in disease (4 papers), Neurological Disease Mechanisms and Treatments (3 papers), Immune Cell Function and Interaction (3 papers), Congenital Diaphragmatic Hernia Studies (3 papers), Axon Guidance and Neuronal Signaling (3 papers) and Flavonoids in Medical Research (3 papers). The work is most often cited by research in Molecular Medicine (100 citations), Oncology (247 citations), Neurology (78 citations), Immunology (183 citations) and Physiology (216 citations). Pingping Chen has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Ho Lam Chan, Bin Li, Fusheng Yang, Sally Ann Frautschy, Edmond Teng, Xiaohong Zuo, Shuxin Hu, Oliver J. Ubeda, Panchanan Maiti and Bruce Teter. Their work appears in journals such as Neurobiology of Disease, Scientific Reports, Clinical Breast Cancer, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and PEDIATRICS.
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.