Jingxuan Fu

852 total citations
30 papers, 576 citations indexed

About

Jingxuan Fu is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Jingxuan Fu has authored 30 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Neurology and 6 papers in Physiology. Recurrent topics in Jingxuan Fu's work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Jingxuan Fu is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Jingxuan Fu collaborates with scholars based in China, Croatia and United Kingdom. Jingxuan Fu's co-authors include Tao Zhang, Xueliang Shang, Yingchun Shang, Zhuo Yang, Peichang Wang, Weiping Wang, Shitong Xiang, Xinxin Xu, Chengeng Liu and Yidan Wang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Jingxuan Fu

28 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingxuan Fu China 16 217 120 100 79 78 30 576
Wenzhong Yang China 14 335 1.5× 196 1.6× 37 0.4× 66 0.8× 102 1.3× 45 736
Hongqi Yang China 18 344 1.6× 247 2.1× 53 0.5× 109 1.4× 177 2.3× 59 987
Wenwu Chen China 11 142 0.7× 137 1.1× 57 0.6× 93 1.2× 43 0.6× 20 476
Moo‐Ho Won South Korea 17 372 1.7× 98 0.8× 48 0.5× 71 0.9× 52 0.7× 24 803
Cristina Ordóñez Spain 15 160 0.7× 121 1.0× 26 0.3× 87 1.1× 115 1.5× 24 592
Hye‐Jin Hwang South Korea 10 164 0.8× 288 2.4× 48 0.5× 96 1.2× 132 1.7× 21 823
Jingjing Su China 21 461 2.1× 77 0.6× 187 1.9× 114 1.4× 55 0.7× 64 1.2k
Natalia Jiménez-Moreno United Kingdom 8 389 1.8× 83 0.7× 184 1.8× 59 0.7× 48 0.6× 13 695
Ragaa H. M. Salama Egypt 15 228 1.1× 61 0.5× 24 0.2× 68 0.9× 38 0.5× 41 584

Countries citing papers authored by Jingxuan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jingxuan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingxuan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingxuan Fu. A scholar is included among the top collaborators of Jingxuan 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 Jingxuan Fu. Jingxuan 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.
Shi, Lili, Dawei Li, Yunxiu Zhang, et al.. (2023). Factors influencing the degree of disability in patients with neuromyelitis optica spectrum disorders. European journal of medical research. 28(1). 426–426. 1 indexed citations
2.
Qiao, Song, Yaqi Wang, Jing Liu, et al.. (2023). Downregulation of Krüppel‐like factor 14 accelerated cellular senescence and aging. Aging Cell. 22(10). e13950–e13950. 4 indexed citations
3.
Qiao, Song, Yiyin Zhang, Yaqi Wang, et al.. (2022). Integrated multi-omics approach revealed cellular senescence landscape. Nucleic Acids Research. 50(19). 10947–10963. 22 indexed citations
4.
Liu, Zixin, Jingxuan Fu, Hongbo Yuan, et al.. (2022). Polyisocyanide hydrogels with tunable nonlinear elasticity mediate liver carcinoma cell functional response. Acta Biomaterialia. 148. 152–162. 16 indexed citations
5.
Fu, Jingxuan, et al.. (2022). Reference intervals for thyroid hormones for the elderly population and their influence on the diagnosis of subclinical hypothyroidism. Journal of Medical Biochemistry. 42(2). 258–264. 7 indexed citations
6.
Li, Boying, Ning Li, Liquan Chen, et al.. (2022). Alleviating Neuroinflammation through Photothermal Conjugated Polymer Nanoparticles by Regulating Reactive Oxygen Species and Ca2+ Signaling. ACS Applied Materials & Interfaces. 14(43). 48416–48425. 13 indexed citations
7.
Qiao, Song, Shichao Gao, Xiaomin Zhang, et al.. (2021). CTCF Mediates Replicative Senescence Through POLD1. Frontiers in Cell and Developmental Biology. 9. 618586–618586. 18 indexed citations
8.
Liu, Yu, Jingxuan Fu, Chengeng Liu, et al.. (2020). Preliminary study on the function of the POLD1 (CDC2) EXON2 c.56G>A mutation. Molecular Genetics & Genomic Medicine. 8(8). e1280–e1280. 4 indexed citations
9.
Wang, Weiping, Xiaoliang Liu, Xiaorong Hou, et al.. (2019). Posttreatment squamous cell carcinoma antigen predicts treatment failure in patients with cervical squamous cell carcinoma treated with concurrent chemoradiotherapy. Gynecologic Oncology. 155(2). 224–228. 17 indexed citations
10.
11.
Xiang, Shitong, Yu Zhou, Jingxuan Fu, & Tao Zhang. (2018). rTMS pre-treatment effectively protects against cognitive and synaptic plasticity impairments induced by simulated microgravity in mice. Behavioural Brain Research. 359. 639–647. 31 indexed citations
12.
Fu, Jingxuan, Daoyuan Huang, Fuwen Yuan, et al.. (2018). TRAF-interacting protein with forkhead-associated domain (TIFA) transduces DNA damage–induced activation of NF-κB. Journal of Biological Chemistry. 293(19). 7268–7280. 17 indexed citations
13.
Fu, Jingxuan, et al.. (2018). AG1031 induces apoptosis through suppressing SIRT1/p53 pathway in human neuroblastoma cells. Molecular and Cellular Biochemistry. 454(1-2). 165–175. 6 indexed citations
14.
Xie, Nan, Liwei Ma, Feng Zhu, et al.. (2016). Regulation of the MDM2-p53 pathway by the nucleolar protein CSIG in response to nucleolar stress. Scientific Reports. 6(1). 36171–36171. 20 indexed citations
15.
Shang, Xueliang, Yingchun Shang, Jingxuan Fu, & Tao Zhang. (2016). Nicotine Significantly Improves Chronic Stress-Induced Impairments of Cognition and Synaptic Plasticity in Mice. Molecular Neurobiology. 54(6). 4644–4658. 56 indexed citations
16.
Fu, Jingxuan, Hui Wang, Jing Gao, et al.. (2016). Rapamycin Effectively Impedes Melamine-Induced Impairments of Cognition and Synaptic Plasticity in Wistar Rats. Molecular Neurobiology. 54(2). 819–832. 44 indexed citations
17.
An, Lei, Jingxuan Fu, & Tao Zhang. (2015). Reversible effects of vitamins C and E combination on cognitive deficits and oxidative stress in the hippocampus of melamine-exposed rats. Pharmacology Biochemistry and Behavior. 132(4). 152–159. 23 indexed citations
18.
Zhang, Yinbo, et al.. (2015). Delimiting protection redline of rare and endangered plants in China. Biodiversity Science. 23(6). 733–739. 1 indexed citations
19.
Li, Qian, Yu Zhang, Jingxuan Fu, et al.. (2013). FOXA1 mediates p16INK4a activation during cellular senescence. The EMBO Journal. 32(6). 858–873. 38 indexed citations
20.
Xu, Xue, et al.. (2011). Influence of P-glycoprotein on embryotoxicity of the antifouling biocides to sea urchin (Strongylocentrotus intermedius). Ecotoxicology. 20(2). 419–428. 14 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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