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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- Circular RNAs in diseases 2
- Co-authors
- Mark I. Greene (4 shared papers)Yasuhiro Nagai (4 shared papers)Shigeyoshi Fujimoto (1 shared paper)Xiaomin Song (1 shared paper)Ciriaco A. Piccirillo (1 shared paper)Hongtao Zhang (3 shared papers)Yan Xiao (3 shared papers)Wayne W. Hancock (2 shared papers)
- Journals
- Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)Frontiers in Pediatrics (1 paper)FEBS Letters (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Guoping Deng
17 papers receiving 620 citations
Peers
Comparison fields: 5 of 95
- Immunology 314
- Oncology 143
- Cancer Research 47
- Pathology and Forensic Medicine 53
- Molecular Biology 187
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 | 116 | |
| 2 | 2014 | 87 | |
| 3 | 2014 | 86 | |
| 4 | 2015 | 65 | |
| 5 | 2021 | 58 | |
| 6 | Tumor-infiltrating regulatory T cells: origins and features. | 2018 | 53 |
| 7 | 2017 | 32 | |
| 8 | 2012 | 25 | |
| 9 | 2016 | 24 | |
| 10 | 2014 | 22 | |
| 11 | 2012 | 19 | |
| 12 | 1996 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2021 | 0 |
About Guoping Deng
Guoping Deng is a scholar working on Immunology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Epidemiology, having authored 18 papers that have together received 624 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-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers), Cancer Mechanisms and Therapy (2 papers), Sepsis Diagnosis and Treatment (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Immunology (314 citations), Oncology (143 citations), Cancer Research (47 citations), Pathology and Forensic Medicine (53 citations) and Molecular Biology (187 citations). Guoping Deng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Mark I. Greene, Yasuhiro Nagai, Shigeyoshi Fujimoto, Xiaomin Song, Ciriaco A. Piccirillo, Hongtao Zhang, Yan Xiao, Wayne W. Hancock, Bin Li and Arabinda Samanta. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Frontiers in Pediatrics, FEBS Letters 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.