Binqing Fu

8.7k total citations · 2 hit papers
62 papers, 5.4k citations indexed

About

Binqing Fu is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Binqing Fu has authored 62 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Immunology, 14 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Binqing Fu's work include Immune Cell Function and Interaction (36 papers), Reproductive System and Pregnancy (22 papers) and Endometriosis Research and Treatment (8 papers). Binqing Fu is often cited by papers focused on Immune Cell Function and Interaction (36 papers), Reproductive System and Pregnancy (22 papers) and Endometriosis Research and Treatment (8 papers). Binqing Fu collaborates with scholars based in China, United States and Croatia. Binqing Fu's co-authors include Haiming Wei, Zhigang Tian, Rui Sun, Xiaohu Zheng, Yonggang Zhou, Xiaoling Xu, Dongsheng Wang, Aijun Pan, Xiao‐Hua Zhang and Tiantian Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Binqing Fu

61 papers receiving 5.3k citations

Hit Papers

Effective treatment of severe COVID-19 patients with toci... 2020 2026 2022 2024 2020 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binqing Fu China 27 2.3k 2.2k 1.3k 958 723 62 5.4k
Xiaohu Zheng China 22 2.2k 1.0× 989 0.5× 1.3k 1.0× 946 1.0× 742 1.0× 41 4.2k
Shuye Zhang China 24 2.0k 0.9× 1.5k 0.7× 822 0.6× 991 1.0× 459 0.6× 68 4.2k
Da Huang China 16 2.6k 1.1× 473 0.2× 1.5k 1.1× 818 0.9× 496 0.7× 78 4.0k
Chengliang Zhu China 29 1.9k 0.8× 648 0.3× 834 0.6× 736 0.8× 389 0.5× 88 3.7k
Meifang Han China 23 2.9k 1.3× 739 0.3× 1.6k 1.2× 693 0.7× 480 0.7× 59 4.9k
Gang Xu China 24 1.5k 0.7× 945 0.4× 655 0.5× 1.3k 1.3× 326 0.5× 72 3.7k
Chek Meng Poh Singapore 12 2.1k 0.9× 712 0.3× 926 0.7× 573 0.6× 361 0.5× 17 3.6k
Qiong Zhou China 31 1.0k 0.5× 1.1k 0.5× 308 0.2× 654 0.7× 703 1.0× 121 3.4k
Qiu Zhao China 31 2.3k 1.0× 369 0.2× 1.2k 0.9× 1.2k 1.3× 1.1k 1.5× 102 5.1k

Countries citing papers authored by Binqing Fu

Since Specialization
Citations

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

Fields of papers citing papers by Binqing Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binqing Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Binqing Fu. A scholar is included among the top collaborators of Binqing 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 Binqing Fu. Binqing 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.
Chen, Siao, Jinghe Zhang, Jianmin Chen, et al.. (2024). Compromised C3b-VSIG4 axis between decidual NK cells and macrophages contributes to recurrent spontaneous abortion. Journal of Translational Medicine. 22(1). 1017–1017. 3 indexed citations
2.
Dou, Yingchao, Dongyao Wang, Rui Sun, et al.. (2024). Reconstituted CD74+ NK cells trigger chronic graft versus host disease after allogeneic bone marrow transplantation. Journal of Autoimmunity. 147. 103274–103274. 1 indexed citations
3.
Wang, Dong, Xiaohui Li, Defeng Jiao, et al.. (2023). LCN2 secreted by tissue-infiltrating neutrophils induces the ferroptosis and wasting of adipose and muscle tissues in lung cancer cachexia. Journal of Hematology & Oncology. 16(1). 30–30. 49 indexed citations
4.
Shen, Yiqing, Xiaohu Zheng, Yeben Qian, et al.. (2023). Interactions between driver genes shape the signaling pathway landscape and direct hepatocellular carcinoma therapy. Cancer Science. 114(6). 2386–2399. 8 indexed citations
5.
Zheng, Xiaohu, Yeben Qian, Yongwei Zhang, et al.. (2023). Tumors evade immune cytotoxicity by altering the surface topology of NK cells. Nature Immunology. 24(5). 802–813. 57 indexed citations
6.
Li, Xiaohui, Li Zhou, Meijuan Zheng, et al.. (2023). Tumor-infiltrating platelets promote the growth of lung adenocarcinoma. Translational Oncology. 39. 101813–101813. 7 indexed citations
7.
Du, Xianghui, Huaiping Zhu, Defeng Jiao, et al.. (2022). Human-Induced CD49a+ NK Cells Promote Fetal Growth. Frontiers in Immunology. 13. 821542–821542. 24 indexed citations
8.
Zhang, Jinghe, et al.. (2022). Estrogen receptor beta promotes endometriosis progression by upregulating CD47 expression in ectopic endometrial stromal cells. Journal of Reproductive Immunology. 151. 103513–103513. 14 indexed citations
9.
Zheng, Xiaohu, Yingchao Dou, Xianghui Du, et al.. (2021). Rapamycin Pretreatment Rescues the Bone Marrow AML Cell Elimination Capacity of CAR-T Cells. Clinical Cancer Research. 27(21). 6026–6038. 43 indexed citations
10.
Ascierto, Paolo A., Binqing Fu, & Haiming Wei. (2021). IL-6 modulation for COVID-19: the right patients at the right time?. Journal for ImmunoTherapy of Cancer. 9(4). e002285–e002285. 30 indexed citations
11.
Sun, Zimin, Huilan Liu, Xiaoyu Zhu, et al.. (2021). Inflammatory monocytes promote pre-engraftment syndrome and tocilizumab can therapeutically limit pathology in patients. Nature Communications. 12(1). 4137–4137. 11 indexed citations
12.
Zhou, Yonggang, Jinhe Zhang, Dongyao Wang, et al.. (2021). Profiling of the immune repertoire in COVID-19 patients with mild, severe, convalescent, or retesting-positive status. Journal of Autoimmunity. 118. 102596–102596. 21 indexed citations
13.
Xu, Xiaoling, Mingfeng Han, Tiantian Li, et al.. (2020). Effective treatment of severe COVID-19 patients with tocilizumab. Proceedings of the National Academy of Sciences. 117(20). 10970–10975. 1874 indexed citations breakdown →
14.
Zhou, Yonggang, Binqing Fu, Xiuxiu Xu, et al.. (2020). PBX1 expression in uterine natural killer cells drives fetal growth. Science Translational Medicine. 12(537). 62 indexed citations
15.
Cong, Jingjing, Xianwei Wang, Xiaohu Zheng, et al.. (2018). Dysfunction of Natural Killer Cells by FBP1-Induced Inhibition of Glycolysis during Lung Cancer Progression. Cell Metabolism. 28(2). 243–255.e5. 276 indexed citations
16.
Fu, Binqing, et al.. (2018). Cytokine-Based Generation of CD49a+Eomes−/+ Natural Killer Cell Subsets. Frontiers in Immunology. 9. 2126–2126. 13 indexed citations
17.
Zheng, Xiaohu, Binqing Fu, Meijuan Zheng, et al.. (2016). EpCAM Inhibition Sensitizes Chemoresistant Leukemia to Immune Surveillance. Cancer Research. 77(2). 482–493. 24 indexed citations
18.
Zheng, Xiaohu, Min Cheng, Binqing Fu, et al.. (2015). Targeting LUNX Inhibits Non–Small Cell Lung Cancer Growth and Metastasis. Cancer Research. 75(6). 1080–1090. 26 indexed citations
19.
島津, 敬, Binqing Fu, Xinyu Mei, et al.. (2013). CD11b−CD27− NK Cells Are Associated with the Progression of Lung Carcinoma. PLoS ONE. 8(4). e61024–e61024. 34 indexed citations
20.
Fu, Binqing, Li X, Rui Sun, et al.. (2012). Natural killer cells promote immune tolerance by regulating inflammatory T H 17 cells at the human maternal–fetal interface. Proceedings of the National Academy of Sciences. 110(3). E231–40. 238 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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