Fengqing Fu

728 total citations
27 papers, 516 citations indexed

About

Fengqing Fu is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Fengqing Fu has authored 27 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Fengqing Fu's work include Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (6 papers) and Cancer-related molecular mechanisms research (5 papers). Fengqing Fu is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (6 papers) and Cancer-related molecular mechanisms research (5 papers). Fengqing Fu collaborates with scholars based in China, United States and Taiwan. Fengqing Fu's co-authors include Xueguang Zhang, Cuiping Liu, Xueguang Zhang, Tongguo Shi, Ruoqin Wang, Shenghua Zhan, Yanchao Ma, Guangbo Zhang, Huimin Lu and Weichang Chen and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and European Journal of Medicinal Chemistry.

In The Last Decade

Fengqing Fu

26 papers receiving 515 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fengqing Fu China 11 260 196 195 165 46 27 516
Hao Lin China 12 235 0.9× 163 0.8× 170 0.9× 227 1.4× 78 1.7× 28 544
Weilong Chen China 9 246 0.9× 118 0.6× 197 1.0× 127 0.8× 53 1.2× 14 436
Xiaohua Jie China 12 300 1.2× 110 0.6× 168 0.9× 128 0.8× 64 1.4× 17 474
Raoying Xie China 13 442 1.7× 387 2.0× 139 0.7× 115 0.7× 40 0.9× 21 685
Na Zhou China 14 266 1.0× 223 1.1× 156 0.8× 99 0.6× 55 1.2× 33 488
Frauke Goeman Italy 18 407 1.6× 186 0.9× 161 0.8× 101 0.6× 56 1.2× 32 625
Zhuqing Zhou China 14 329 1.3× 205 1.0× 150 0.8× 66 0.4× 97 2.1× 26 529
Weiyu Ge China 9 324 1.2× 181 0.9× 173 0.9× 79 0.5× 64 1.4× 20 502
Sabine Häcker Germany 10 438 1.7× 100 0.5× 111 0.6× 92 0.6× 30 0.7× 12 548

Countries citing papers authored by Fengqing Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fengqing Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Fengqing Fu. A scholar is included among the top collaborators of Fengqing Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fengqing Fu. Fengqing Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zheng, Meng, Qingfeng Liu, Hua Zhang, et al.. (2024). Development of a Specifically Labeled 89Zr Antibody for the Noninvasive Imaging of Tumors Overexpressing B7-H3. Molecular Pharmaceutics. 21(10). 5205–5216. 2 indexed citations
2.
Zhang, Chuanqiang, et al.. (2024). Intermittent Fasting and Fasting-mimicking Diet: Promising Strategies in Cancer Management. Current Medicinal Chemistry. 32(42). 9619–9635. 1 indexed citations
3.
Cheng, Wanpeng, Bo Zhang, Xiangyang Li, et al.. (2024). The engineered agonistic anti-CD40 antibody potentiates the antitumor effects of β-glucan by resetting TAMs. Immunology Letters. 268. 106882–106882.
4.
Zheng, Meng, Fengqing Fu, Kaijie Zhang, et al.. (2023). Radioimmunotherapy Targeting B7-H3 in situ glioma models enhanced antitumor efficacy by Reconstructing the tumor microenvironment. International Journal of Biological Sciences. 19(13). 4278–4290. 7 indexed citations
5.
Fu, Fengqing, Huihui Wang, Ziyi Huang, et al.. (2023). Development of a MMAE-based antibody-drug conjugate targeting B7–H3 for glioblastoma. European Journal of Medicinal Chemistry. 257. 115489–115489. 10 indexed citations
6.
Shen, Yu, et al.. (2023). Deficiency of N-linked glycosylation impairs immune function of B7-H6. Frontiers in Immunology. 14. 4 indexed citations
7.
Zhou, Lingli, Fengqing Fu, Yao Wang, & Ling Yang. (2022). Interlocked feedback loops balance the adaptive immune response. Mathematical Biosciences & Engineering. 19(4). 4084–4100. 1 indexed citations
8.
Shen, Fangrong, et al.. (2022). Identification of Candidate Gene Signatures and Regulatory Networks in Endometriosis and its Related Infertility by Integrated Analysis. Reproductive Sciences. 29(2). 411–426. 4 indexed citations
9.
Jiang, Rong, Hongyu Zhang, Jinhua Zhou, et al.. (2021). Inhibition of long non-coding RNA XIST upregulates microRNA-149-3p to repress ovarian cancer cell progression. Cell Death and Disease. 12(2). 145–145. 32 indexed citations
10.
Zhang, Lin, et al.. (2020). <p>MicroRNA-708 Suppresses Cell Proliferation and Enhances Chemosensitivity of Cervical Cancer Cells to cDDP by Negatively Targeting Timeless</p>. OncoTargets and Therapy. Volume 13. 225–235. 12 indexed citations
11.
Ma, Yanchao, Ruoqin Wang, Huimin Lu, et al.. (2020). B7-H3 promotes the cell cycle-mediated chemoresistance of colorectal cancer cells by regulating CDC25A. Journal of Cancer. 11(8). 2158–2170. 29 indexed citations
12.
Zhang, Hongyu, Rong Jiang, Jinhua Zhou, et al.. (2020). CTL Attenuation Regulated by PS1 in Cancer-Associated Fibroblast. Frontiers in Immunology. 11. 999–999. 19 indexed citations
13.
Sun, Jing, et al.. (2020). Preferential Expression of B7‐H6 in Glioma Stem‐Like Cells Enhances Tumor Cell Proliferation via the c‐Myc/RNMT Axis. Journal of Immunology Research. 2020(1). 2328675–2328675. 25 indexed citations
14.
Zhang, Fang, et al.. (2020). lncRNA SNHG6 improves placental villous cell functionin an in vitro model of gestational diabetes mellitus. Archives of Medical Science. 1 indexed citations
15.
Shi, Tongguo, Yanchao Ma, Lei Cao, et al.. (2019). B7-H3 promotes aerobic glycolysis and chemoresistance in colorectal cancer cells by regulating HK2. Cell Death and Disease. 10(4). 308–308. 184 indexed citations
16.
Zhou, Xinru, Yong Mao, Jianjie Zhu, et al.. (2016). TGF-β1 promotes colorectal cancer immune escape by elevating B7-H3 and B7-H4viathe miR-155/miR-143 axis. Oncotarget. 7(41). 67196–67211. 71 indexed citations
17.
Gao, Fei, Fengqing Fu, Yongjin Chen, et al.. (2013). Generation and Characterization of Two Novel Monoclonal Antibodies Produced Against Human TLT-2 Molecule. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 32(3). 216–223. 4 indexed citations
18.
Sun, Jing, Fengqing Fu, Wenchao Gu, et al.. (2011). Origination of New Immunological Functions in the Costimulatory Molecule B7-H3: The Role of Exon Duplication in Evolution of the Immune System. PLoS ONE. 6(9). e24751–e24751. 31 indexed citations
19.
Wang, Tian, et al.. (2010). Long-term but Not Short-term Aspirin Treatment Attenuates Diabetes-associated Learning and Memory Decline in Mice. Experimental and Clinical Endocrinology & Diabetes. 119(1). 36–40. 5 indexed citations
20.
Yan, Ruhong, Guangbo Zhang, Jing Sun, Fengqing Fu, & Xueguang Zhang. (2010). [Expression of mouse B7-H3-Fc fusion protein and characterization of its bioactivity].. PubMed. 26(11). 1067–9. 1 indexed citations

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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