Guoping Fu
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
-
- NF-κB Signaling Pathways
Papers in
- Immunology 13
- T-cell and B-cell Immunology 13
-
- NF-κB Signaling Pathways 3
- Co-authors
- Renren Wen (20 shared papers)Demin Wang (17 shared papers)Yuhong Chen (11 shared papers)James Schuman (4 shared papers)Lie Di (3 shared papers)Debra K. Newman (5 shared papers)Wen Zhu (10 shared papers)Yongwei Zheng (10 shared papers)
- Journals
- The Journal of Immunology (5 papers)Blood (3 papers)Nature Communications (2 papers)Molecular and Cellular Biology (2 papers)European Journal of Immunology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Guoping Fu
23 papers receiving 500 citations
Peers
Comparison fields: 5 of 61
- Immunology 202
- Cancer Research 57
- Oncology 53
- Sensory Systems 11
- Molecular Biology 131
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 108 | |
| 2 | 2019 | 72 | |
| 3 | 2017 | 35 | |
| 4 | 2004 | 34 | |
| 5 | 2007 | 34 | |
| 6 | 2006 | 31 | |
| 7 | 2008 | 27 | |
| 8 | 2016 | 23 | |
| 9 | 2016 | 23 | |
| 10 | 2012 | 22 | |
| 11 | 2018 | 18 | |
| 12 | 2012 | 16 | |
| 13 | 2019 | 14 | |
| 14 | 2021 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2016 | 5 | |
| 18 | 2020 | 5 | |
| 19 | Evaluation of nestin or osterix promoter-driven cre/loxp system in studying the biological functions of murine osteoblastic cells. | 2016 | 4 |
| 20 | 2024 | 3 |
About Guoping Fu
Guoping Fu is a scholar working on Immunology, Cancer Research, Molecular Biology, Immunology and Allergy and Hematology, having authored 23 papers that have together received 502 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), NF-κB Signaling Pathways (3 papers), Bone Metabolism and Diseases (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), TGF-β signaling in diseases (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Immunology (202 citations), Cancer Research (57 citations), Oncology (53 citations), Sensory Systems (11 citations) and Molecular Biology (131 citations). Guoping Fu has collaborated with scholars based in United States and China. Frequent co-authors include Renren Wen, Demin Wang, Yuhong Chen, James Schuman, Lie Di, Debra K. Newman, Wen Zhu, Yongwei Zheng, Yinghong He and Weiguo Cui. Their work appears in journals such as The Journal of Immunology, Blood, Nature Communications, Molecular and Cellular Biology and European Journal of Immunology.
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.