Dapeng Cui
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Toxicology top 5%
- Forensic Toxicology and Drug Analysis
Papers in
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- Pluripotent Stem Cells Research 1
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 1
- Co-authors
- Won‐Woo Lee (4 shared papers)Jörg J. Goronzy (4 shared papers)Cornelia M. Weyand (4 shared papers)Marta Cześnikiewicz‐Guzik (2 shared papers)David L. Lamar (1 shared paper)Joseph G. Ouslander (1 shared paper)Zhi‐Zhang Yang (1 shared paper)Yuko Hiruma (1 shared paper)
- Journals
- Clinical Immunology (1 paper)Rejuvenation Research (1 paper)Blood (1 paper)Proceedings of the National Academy of Sciences (1 paper)Physiological Genomics (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Dapeng Cui
10 papers receiving 716 citations
Peers
Comparison fields: 5 of 82
- Immunology 350
- Toxicology 37
- Aging 12
- Neurology 51
- Virology 22
Countries citing papers authored by Dapeng Cui
This map shows the geographic impact of Dapeng Cui'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 Dapeng Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dapeng Cui more than expected).
Fields of papers citing papers by Dapeng Cui
This network shows the impact of papers produced by Dapeng Cui. 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 Dapeng Cui. The network helps show where Dapeng Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Dapeng Cui, 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 | 2008 | 367 | |
| 2 | 2012 | 81 | |
| 3 | Inhibiting effects of Achyranthes bidentata polysaccharide and Lycium barbarum polysaccharide on nonenzyme glycation in D-galactose induced mouse aging model. | 2003 | 81 |
| 4 | 2006 | 49 | |
| 5 | 2009 | 42 | |
| 6 | 2008 | 36 | |
| 7 | 2010 | 22 | |
| 8 | Structural and functional changes of immune system in aging mouse induced by D-galactose. | 2006 | 18 |
| 9 | 2015 | 17 | |
| 10 | 2005 | 11 |
About Dapeng Cui
Dapeng Cui is a scholar working on Molecular Biology, Immunology, Pharmacology, Toxicology and Genetics, having authored 10 papers that have together received 724 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Forensic Toxicology and Drug Analysis (2 papers), Cannabis and Cannabinoid Research (2 papers), Immunotherapy and Immune Responses (1 paper), Pluripotent Stem Cells Research (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Immunology (350 citations), Toxicology (37 citations), Aging (12 citations), Neurology (51 citations) and Virology (22 citations). Dapeng Cui has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Won‐Woo Lee, Jörg J. Goronzy, Cornelia M. Weyand, Marta Cześnikiewicz‐Guzik, David L. Lamar, Joseph G. Ouslander, Zhi‐Zhang Yang, Yuko Hiruma, Marilyn E. Morris and Dian-Dong Li. Their work appears in journals such as Clinical Immunology, Rejuvenation Research, Blood, Proceedings of the National Academy of Sciences and Physiological Genomics.
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.