Guoping Deng
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- Cancer Immunotherapy and Biomarkers
- Peptidase Inhibition and Analysis
Papers in
-
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 3
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- Ubiquitin and proteasome pathways 1
- Co-authors
- Yasuhiro Nagai (4 shared papers)Mark I. Greene (4 shared papers)Shigeyoshi Fujimoto (1 shared paper)Ciriaco A. Piccirillo (1 shared paper)Xiaomin Song (1 shared paper)Hongtao Zhang (3 shared papers)Yan Xiao (3 shared papers)Takuya Ohtani (2 shared papers)
- Journals
- Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)Environmental Toxicology (1 paper)iScience (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Guoping Deng
17 papers receiving 649 citations
Peers
Comparison fields: 5 of 92
- Immunology 298
- Oncology 128
- Pathology and Forensic Medicine 53
- Cancer Research 38
- Radiation 22
Countries citing papers authored by Guoping Deng
This map shows the geographic impact of Guoping Deng'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 Guoping Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoping Deng more than expected).
Fields of papers citing papers by Guoping Deng
This network shows the impact of papers produced by Guoping Deng. 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 Guoping Deng. The network helps show where Guoping Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoping Deng, 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 | 2019 | 126 | |
| 2 | 2014 | 89 | |
| 3 | 2014 | 89 | |
| 4 | 2015 | 69 | |
| 5 | 2021 | 63 | |
| 6 | Tumor-infiltrating regulatory T cells: origins and features. | 2018 | 53 |
| 7 | 2017 | 32 | |
| 8 | 2012 | 26 | |
| 9 | 2016 | 25 | |
| 10 | 2014 | 22 | |
| 11 | 2012 | 20 | |
| 12 | 1996 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2021 | 0 |
About Guoping Deng
Guoping Deng is a scholar working on Immunology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Materials Chemistry, having authored 19 papers that have together received 653 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (3 papers), Cancer Mechanisms and Therapy (2 papers), Cancer-related molecular mechanisms research (2 papers), Vitamin C and Antioxidants Research (1 paper), Ubiquitin and proteasome pathways (1 paper) and Porphyrin and Phthalocyanine Chemistry (1 paper). The work is most often cited by research in Immunology (298 citations), Oncology (128 citations), Pathology and Forensic Medicine (53 citations), Cancer Research (38 citations) and Radiation (22 citations). Guoping Deng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yasuhiro Nagai, Mark I. Greene, Shigeyoshi Fujimoto, Ciriaco A. Piccirillo, Xiaomin Song, Hongtao Zhang, Yan Xiao, Takuya Ohtani, Arabinda Samanta and Wayne W. Hancock. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Environmental Toxicology, iScience and Cell Reports.
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.