Guoping Fu

970 citations
34 papers · 789 · h-index 15

Impact in

  • Pollution top 5%
    • Pesticide and Herbicide Environmental Studies
    • Pharmaceutical and Antibiotic Environmental Impacts
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 9
    • Immune Cell Function and Interaction 9
    • Immune Response and Inflammation 3
    • Galectins and Cancer Biology 2
    • Protein Kinase Regulation and GTPase Signaling 4
    • PI3K/AKT/mTOR signaling in cancer 3

Guoping Fu

33 papers receiving 768 citations

Peers

Guoping Fu
Comparison fields: 5 of 89
  • Pollution 245
  • Immunology 262
  • Health, Toxicology and Mutagenesis 126
  • Cancer Research 67
  • Oncology 105
Replace Jin-Sung Chung with:
Jin-Sung Chung United States
Weifeng Shen China
Sandra N. Freiberger Switzerland
Jixian Luo China
Xiaofan Chen China
Masanobu Nakao Japan
András Penyige Hungary
Elaine Stur Brazil
Roger Bertolotti France
Na Shang China
Guoping Fu relative to Jin-Sung Chung United States Jin-Sung Chung's profile →
Citations per field
00.5×1.5×2.1×
Jin-Sung Chung · 1×
Citations per year

Countries citing papers authored by Guoping Fu

Since Specialization
Citations

This map shows the geographic impact of Guoping Fu'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 Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoping Fu more than expected).

Fields of papers citing papers by Guoping Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guoping Fu. 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 Fu. The network helps show where Guoping Fu may publish in the future.

Co-authors

The 25 scholars most cited alongside Guoping Fu, 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 Fu Line = papers co-authored together Guoping Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001242
2 2010106
3 201965
4 200450
5 200735
6 200434
7 201733
8 200629
9 200827
10 201623
11 201220
12 201619
13 201216
14 201816
15 201914
16 20237
17 20217
18 20197
19 20226
20 20165

About Guoping Fu

Guoping Fu is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Hematology, having authored 34 papers that have together received 789 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (9 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), NF-κB Signaling Pathways (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Immune Response and Inflammation (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Pollution (245 citations), Immunology (262 citations), Health, Toxicology and Mutagenesis (126 citations), Cancer Research (67 citations) and Oncology (105 citations). Guoping Fu has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Zhongli Cui, Shunpeng Li, Renren Wen, Demin Wang, Yuhong Chen, Mei Yu, James Schuman, Lie Di, Yinghong He and Debra K. Newman. Their work appears in journals such as The Journal of Immunology, Blood, Molecular and Cellular Biology, Frontiers in Immunology and Nature Communications.

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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