Fengqing Fu
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Immunology 11
- Immunotherapy and Immune Responses 7
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 2
-
- RNA Interference and Gene Delivery 2
- Co-authors
- Xueguang Zhang (5 shared papers)Xueguang Zhang (10 shared papers)Cuiping Liu (2 shared papers)Tongguo Shi (4 shared papers)Weichang Chen (2 shared papers)Ruoqin Wang (2 shared papers)Guangbo Zhang (2 shared papers)Yanchao Ma (2 shared papers)
- Journals
- Journal of Immunology Research (2 papers)Cell Death and Disease (2 papers)Frontiers in Immunology (2 papers)Mathematical Biosciences & Engineering (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Fengqing Fu
27 papers receiving 535 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 167
- Immunology 150
- Oncology 170
- Molecular Biology 222
- Genetics 26
Countries citing papers authored by Fengqing Fu
This map shows the geographic impact of Fengqing 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 Fengqing Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengqing Fu more than expected).
Fields of papers citing papers by Fengqing Fu
This network shows the impact of papers produced by Fengqing 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 Fengqing Fu. The network helps show where Fengqing Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengqing 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 190 | |
| 2 | 2016 | 71 | |
| 3 | 2021 | 32 | |
| 4 | 2011 | 31 | |
| 5 | 2020 | 30 | |
| 6 | 2020 | 26 | |
| 7 | 2022 | 24 | |
| 8 | 2021 | 23 | |
| 9 | 2017 | 22 | |
| 10 | 2020 | 19 | |
| 11 | 2023 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 5 | |
| 15 | 2010 | 5 | |
| 16 | 2013 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 4 | |
| 20 | [Splicing factor SC35 regulated the expression of B7-H3 in vitro]. | 2012 | 2 |
About Fengqing Fu
Fengqing Fu is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 536 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer-related molecular mechanisms research (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers), T-cell and B-cell Immunology (2 papers), RNA Interference and Gene Delivery (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (167 citations), Immunology (150 citations), Oncology (170 citations), Molecular Biology (222 citations) and Genetics (26 citations). Fengqing Fu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xueguang Zhang, Xueguang Zhang, Cuiping Liu, Tongguo Shi, Weichang Chen, Ruoqin Wang, Guangbo Zhang, Yanchao Ma, Shenghua Zhan and Huimin Lu. Their work appears in journals such as Journal of Immunology Research, Cell Death and Disease, Frontiers in Immunology, Mathematical Biosciences & Engineering and PLoS ONE.
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.