Guoping Deng

810 citations
17 papers · 670 · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • 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
    • interferon and immune responses 1
    • Cancer-related molecular mechanisms research 2

Guoping Deng

15 papers receiving 664 citations

Peers

Guoping Deng
Comparison fields: 5 of 94
  • Immunology 301
  • Oncology 128
  • Pathology and Forensic Medicine 53
  • Cancer Research 39
  • Radiation 24
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Guoping Deng relative to Jae Lee United States Jae Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Guoping Deng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Guoping Deng Line = papers co-authored together Guoping Deng links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2019128
2 201493
3 201492
4 202169
5 201569
6
Tumor-infiltrating regulatory T cells: origins and features.
201853
7 201733
8 201226
9 201625
10 201422
11 201221
12 199617
13 202113
14 20226
15 20243
16 20210
17 20250

About Guoping Deng

Guoping Deng is a scholar working on Immunology, Cancer Research, Pathology and Forensic Medicine, Radiation and Physical and Theoretical Chemistry, having authored 17 papers that have together received 670 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), Photosynthetic Processes and Mechanisms (1 paper), RNA modifications and cancer (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (301 citations), Oncology (128 citations), Pathology and Forensic Medicine (53 citations), Cancer Research (39 citations) and Radiation (24 citations). Guoping Deng has collaborated with scholars based in China, United States and France. Frequent co-authors include Yasuhiro Nagai, Mark Irwin Greene, Ciriaco A. Piccirillo, Shigeyoshi Fujimoto, Xiaomin Song, Yan Xiao, Hongtao Zhang, Wayne W. Hancock, Takuya Ohtani and Arabinda Samanta. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Frontiers in Immunology, Frontiers in Pediatrics and Environmental Science and Pollution Research.

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.

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