Dapeng Zhou
Impact in
- Immunology top 0.5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Galectins and Cancer Biology
- Oncology top 5%
- CAR-T cell therapy research
Papers in
- Immunology 51
- Immune Cell Function and Interaction 33
- T-cell and B-cell Immunology 17
- Immunotherapy and Immune Responses 15
- Galectins and Cancer Biology 10
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- Carbohydrate Chemistry and Synthesis 15
- Co-authors
- Albert BendelacPaul B. SavageLuc TeytonCarlos CantuJochen MattnerNing YinYing GaoRandal D. Goff
- Journals
- Journal of Biological Chemistry (4 papers)Glycobiology (4 papers)Journal of Immunotherapy (3 papers)Vaccines (3 papers)Current Protein and Peptide Science (3 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Dapeng Zhou
95 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Immunology 3.2k
- Oncology 644
- Molecular Biology 1.5k
- Physiology 83
- Organic Chemistry 465
Countries citing papers authored by Dapeng Zhou
This map shows the geographic impact of Dapeng Zhou'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 Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dapeng Zhou more than expected).
Fields of papers citing papers by Dapeng Zhou
This network shows the impact of papers produced by Dapeng Zhou. 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 Zhou. The network helps show where Dapeng Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dapeng Zhou, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 2 | |
| 8 | 2020 | 30 | |
| 9 | 2015 | 7 | |
| 10 | 2013 | 61 | |
| 11 | 2012 | 19 | |
| 12 | 2010 | 43 | |
| 13 | 2010 | 1 | |
| 14 | 2009 | 60 | |
| 15 | 2007 | 52 | |
| 16 | 2006 | 144 | |
| 17 | Lysosomal Glycosphingolipid Recognition by NKT Cells Hit paper breakdown → | 2004 | 780 |
| 18 | 2003 | 263 | |
| 19 | 2000 | 9 | |
| 20 | 2000 | 46 |
About Dapeng Zhou
Dapeng Zhou is a scholar working on Immunology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Hematology, having authored 102 papers that have together received 4.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (33 papers), Glycosylation and Glycoproteins Research (32 papers), T-cell and B-cell Immunology (17 papers), Immunotherapy and Immune Responses (15 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Carbohydrate Chemistry and Synthesis (15 papers), Galectins and Cancer Biology (10 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Immunology (3.2k citations), Oncology (644 citations), Molecular Biology (1.5k citations), Physiology (83 citations) and Organic Chemistry (465 citations). Dapeng Zhou has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Albert Bendelac, Paul B. Savage, Luc Teyton, Carlos Cantu, Jochen Mattner, Ning Yin, Ying Gao, Randal D. Goff, Thierry Hennet and Yuval Sagiv. Their work appears in journals such as Journal of Biological Chemistry, Glycobiology, Journal of Immunotherapy, Vaccines and Current Protein and Peptide Science.
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.