Guoping Fu
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
-
- Protein Kinase Regulation and GTPase Signaling 4
- PI3K/AKT/mTOR signaling in cancer 3
- Immunology 14
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 9
- Immune Response and Inflammation 3
- Co-authors
- Zhongli Cui (3 shared papers)Shunpeng Li (3 shared papers)Renren Wen (21 shared papers)Demin Wang (17 shared papers)Yuhong Chen (11 shared papers)Mei Yu (13 shared papers)James Schuman (4 shared papers)Lie Di (3 shared papers)
- Journals
- The Journal of Immunology (5 papers)Blood (4 papers)Nature Communications (2 papers)Frontiers in Immunology (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesChinaPhilippines
In The Last Decade
Guoping Fu
33 papers receiving 707 citations
Peers
Comparison fields: 5 of 93
- Pollution 203
- Immunology 265
- Health, Toxicology and Mutagenesis 109
- Cancer Research 67
- Oncology 109
Countries citing papers authored by Guoping Fu
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
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.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 206 | |
| 2 | 2010 | 102 | |
| 3 | 2019 | 63 | |
| 4 | 2004 | 41 | |
| 5 | 2007 | 35 | |
| 6 | 2017 | 33 | |
| 7 | 2004 | 33 | |
| 8 | 2006 | 28 | |
| 9 | 2008 | 25 | |
| 10 | 2016 | 23 | |
| 11 | 2012 | 20 | |
| 12 | 2016 | 17 | |
| 13 | 2018 | 16 | |
| 14 | 2012 | 15 | |
| 15 | 2019 | 13 | |
| 16 | 2021 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2016 | 5 |
About Guoping Fu
Guoping Fu is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Hematology, having authored 34 papers that have together received 723 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (9 papers), NF-κB Signaling Pathways (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cancer-related Molecular Pathways (3 papers), Immune Response and Inflammation (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Pollution (203 citations), Immunology (265 citations), Health, Toxicology and Mutagenesis (109 citations), Cancer Research (67 citations) and Oncology (109 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, Nature Communications, Frontiers in Immunology and Molecular and Cellular Biology.
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.