Hui Fu

1.6k total citations
52 papers, 1.2k citations indexed

About

Hui Fu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Hui Fu has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Cardiology and Cardiovascular Medicine and 6 papers in Surgery. Recurrent topics in Hui Fu's work include Vagus Nerve Stimulation Research (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Cardiovascular Function and Risk Factors (3 papers). Hui Fu is often cited by papers focused on Vagus Nerve Stimulation Research (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Cardiovascular Function and Risk Factors (3 papers). Hui Fu collaborates with scholars based in China, United States and Switzerland. Hui Fu's co-authors include Fu‐Ming Shen, Dongjie Li, Min Ni, Wei Shuai, Jie Tong, He Huang, Chi Chen, Yi-Hang Wu, Pei Wang and Jianguo Chen and has published in prestigious journals such as Chemosphere, European Heart Journal and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Hui Fu

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Fu China 21 497 185 156 137 128 52 1.2k
Corey Giles Australia 21 569 1.1× 395 2.1× 108 0.7× 106 0.8× 111 0.9× 50 1.5k
Qilin Ma China 24 642 1.3× 478 2.6× 149 1.0× 151 1.1× 144 1.1× 91 1.8k
Ben He China 21 595 1.2× 148 0.8× 307 2.0× 87 0.6× 134 1.0× 42 1.4k
Ketao Ma China 19 521 1.0× 243 1.3× 99 0.6× 78 0.6× 83 0.6× 128 1.1k
Zhenlong Xin China 20 739 1.5× 214 1.2× 107 0.7× 90 0.7× 164 1.3× 27 1.5k
Hiroshi Saito Japan 22 479 1.0× 219 1.2× 200 1.3× 103 0.8× 86 0.7× 61 1.6k
Qian Sun China 26 695 1.4× 138 0.7× 63 0.4× 190 1.4× 272 2.1× 90 1.5k
Abdelrahman Y. Fouda United States 23 498 1.0× 209 1.1× 200 1.3× 103 0.8× 65 0.5× 47 1.4k
Turgut Ulutin Türkiye 17 309 0.6× 200 1.1× 84 0.5× 85 0.6× 97 0.8× 67 1.1k

Countries citing papers authored by Hui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Hui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Fu. A scholar is included among the top collaborators of Hui 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 Hui Fu. Hui 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.
Zhong, Min, Y. Robert Li, Hui Wang, et al.. (2025). Integrated network pharmacology and experimental validation reveal EGFR/p53/Bcl-2–mediated anti-hepatocellular carcinoma effects of Zedoary Turmeric Oil. Journal of Ethnopharmacology. 352. 120241–120241. 1 indexed citations
2.
Lei, Qing, Hui Fu, Zongjie Yao, et al.. (2024). Early introduction of IL-10 weakens BCG revaccination’s protection by suppressing CD4+Th1 cell responses. Journal of Translational Medicine. 22(1). 1103–1103. 2 indexed citations
3.
4.
Zhang, Yuhan, Hongsheng Guo, & Hui Fu. (2024). Protective Effect of Resveratrol Combined with Levodopa Against Oxidative Damage in Dopaminergic Neurons. Cell Biochemistry and Biophysics. 82(2). 817–826. 6 indexed citations
5.
Li, Dengke, et al.. (2024). DL-3-n-butylphthalide attenuates doxorubicin-induced acute cardiotoxicity via Nrf2/HO-1 signaling pathway. Heliyon. 10(5). e27644–e27644. 5 indexed citations
6.
Zhao, Yi, Yuxin Chen, Yu Shi, et al.. (2023). Colchicine protects against the development of experimental abdominal aortic aneurysm. Clinical Science. 137(19). 1533–1545. 11 indexed citations
7.
Chen, Zhiqiang, et al.. (2023). Predictive value of the geriatric nutrition risk index for postoperative delirium in elderly patients undergoing cardiac surgery. CNS Neuroscience & Therapeutics. 30(2). e14343–e14343. 29 indexed citations
8.
Fu, Hui, Yi Zhao, Min Ni, et al.. (2022). Activating α7nAChR ameliorates abdominal aortic aneurysm through inhibiting pyroptosis mediated by NLRP3 inflammasome. Acta Pharmacologica Sinica. 43(10). 2585–2595. 36 indexed citations
9.
Li, Yi, et al.. (2020). Factors Affecting Pathological Complete Response After Neoadjuvant Chemotherapy in Operable Primary Breast Cancer. Journal of College of Physicians And Surgeons Pakistan. 30(4). 389–393. 5 indexed citations
10.
Ni, Min, Yi Zhao, Wenjing Zhang, et al.. (2020). microRNA‐802 accelerates hepatocellular carcinoma growth by targeting RUNX3. Journal of Cellular Physiology. 235(10). 7128–7135. 16 indexed citations
11.
Sun, Sijia, Wenxiang Cao, Min Ni, et al.. (2020). Excessive ROS production and enhanced autophagy contribute to myocardial injury induced by branched-chain amino acids: Roles for the AMPK-ULK1 signaling pathway and α7nAChR. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1867(1). 165980–165980. 46 indexed citations
12.
Fu, Hui, Wei Shuai, Bin Kong, Xiaobo Jiang, & He Huang. (2020). MD1 Depletion Predisposes to Ventricular Arrhythmias in the Setting of Myocardial Infarction. Heart Lung and Circulation. 30(6). 869–881. 8 indexed citations
13.
Shuai, Wei, Bin Kong, Hui Fu, Caijie Shen, & He Huang. (2019). Loss of MD1 increases vulnerability to ventricular arrhythmia in diet-induced obesity mice via enhanced activation of the TLR4/MyD88/CaMKII signaling pathway. Nutrition Metabolism and Cardiovascular Diseases. 29(9). 991–998. 25 indexed citations
14.
Chen, Chi, Dongjie Li, Jie Tong, et al.. (2018). Vascular smooth muscle cell senescence and age-related diseases: State of the art. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(7). 1810–1821. 125 indexed citations
15.
Li, Dongjie, Hui Fu, Ting Zhao, Min Ni, & Fu‐Ming Shen. (2016). Exercise-stimulated FGF23 promotes exercise performance via controlling the excess reactive oxygen species production and enhancing mitochondrial function in skeletal muscle. Metabolism. 65(5). 747–756. 67 indexed citations
16.
17.
Li, Feifei, Jing Fang, Qiong Ma, Hui Fu, & Jianping Mao. (2013). Natural Borneol Liquid Induced Cancer Cells Apoptosis. Zhongguo shengwu gongcheng zazhi. 33(5). 22–27. 2 indexed citations
18.
He, Li, Jianmin Xiao, Hui Fu, et al.. (2012). Effect of oxidative stress on ventricular arrhythmia in rabbits with adriamycin-induced cardiomyopathy. Journal of Huazhong University of Science and Technology [Medical Sciences]. 32(3). 334–339. 11 indexed citations
19.
Wang, Wei, Fang Wang, Yuan‐Jian Yang, et al.. (2010). The flavonoid baicalein promotes NMDA receptor‐dependent long‐term potentiation and enhances memory. British Journal of Pharmacology. 162(6). 1364–1379. 50 indexed citations
20.
Fu, Hui, et al.. (2008). Effects of WIN55,212-2 on voltage-gated sodium channels in trigeminal ganglion neurons of rats. Neurological Research. 30(1). 85–91. 7 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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