Quan Xing

1.1k total citations · 1 hit paper
24 papers, 762 citations indexed

About

Quan Xing is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Quan Xing has authored 24 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Pharmacology. Recurrent topics in Quan Xing's work include Bone Metabolism and Diseases (5 papers), Axon Guidance and Neuronal Signaling (3 papers) and Inflammatory mediators and NSAID effects (3 papers). Quan Xing is often cited by papers focused on Bone Metabolism and Diseases (5 papers), Axon Guidance and Neuronal Signaling (3 papers) and Inflammatory mediators and NSAID effects (3 papers). Quan Xing collaborates with scholars based in China, Australia and United States. Quan Xing's co-authors include Rui‐Yuan Pan, Yuhe Liao, Yingzhao Yan, 张婧, Xuehong Zhou, Jinbo Cheng, Ju Gao, Luyang Sun, Lin He and Fangxia Guan and has published in prestigious journals such as Cell Metabolism, Experimental Cell Research and Journal of Dental Research.

In The Last Decade

Quan Xing

20 papers receiving 757 citations

Hit Papers

Positive feedback regulation of microglial glucose metabo... 2022 2026 2023 2024 2022 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Positive feedback regulation of microglial glucose metabolism by histone H4 lysine 12 lactylation in Alzheimer’s disease
    2022 486 citations Rui‐Yuan Pan, Lin He et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quan Xing China 10 417 133 118 116 114 24 762
He Huang China 15 375 0.9× 131 1.0× 101 0.9× 77 0.7× 69 0.6× 58 840
Ruteja A. Barve United States 15 274 0.7× 79 0.6× 108 0.9× 142 1.2× 61 0.5× 26 730
Fei Lan China 19 469 1.1× 148 1.1× 133 1.1× 76 0.7× 63 0.6× 35 910
Rosalia D’Angelo Italy 26 661 1.6× 152 1.1× 73 0.6× 111 1.0× 65 0.6× 71 1.3k
Zoltán Veréb Hungary 20 565 1.4× 79 0.6× 156 1.3× 155 1.3× 78 0.7× 71 1.5k
Eva Lasič Slovenia 13 397 1.0× 122 0.9× 73 0.6× 55 0.5× 91 0.8× 16 725
Hongli Li China 15 371 0.9× 135 1.0× 70 0.6× 145 1.3× 95 0.8× 31 748
Jin Yang China 17 343 0.8× 178 1.3× 73 0.6× 146 1.3× 197 1.7× 54 910
Kazem Sharifi Iran 16 467 1.1× 235 1.8× 77 0.7× 85 0.7× 53 0.5× 30 747
Yun Dong China 10 256 0.6× 105 0.8× 62 0.5× 81 0.7× 67 0.6× 18 621

Countries citing papers authored by Quan Xing

Since Specialization
Citations

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

Fields of papers citing papers by Quan Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Xing. A scholar is included among the top collaborators of Quan Xing 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 Quan Xing. Quan Xing 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.
Fu, Dongjie, et al.. (2025). P. Gingivalis LPS Drives Osteoclastogenesis and Impairs Osteoblast Differentiation by Suppressing Sema3A/Nrp1 Via TLR-4. International Dental Journal. 75(6). 103941–103941.
2.
3.
Xing, Quan, et al.. (2025). Research on Safety Assessment of Coal Mine Gas Outburst Based on Fuzzy DEMATEL-TOPSIS Method. Processes. 13(11). 3464–3464.
4.
5.
Wang, Tao, et al.. (2024). Defect Engineering for SnO2 Improves NO2 Gas Sensitivity by Plasma Spraying. ACS Sensors. 9(6). 3178–3186. 19 indexed citations
6.
Xing, Quan, Taihong Huang, Dehao Kong, et al.. (2024). Sintering densification behavior of nano-ITO powder with high oxygen vacancy induced via plasma stimulation. Ceramics International. 50(13). 22922–22935. 3 indexed citations
7.
Pan, Rui‐Yuan, Lin He, 张婧, et al.. (2022). Positive feedback regulation of microglial glucose metabolism by histone H4 lysine 12 lactylation in Alzheimer’s disease. Cell Metabolism. 34(4). 634–648.e6. 486 indexed citations breakdown →
8.
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Xing, Quan, et al.. (2021). Glucocorticoids suppressed osteoblast differentiation by decreasing Sema3A expression via the PIK3/Akt pathway. Experimental Cell Research. 403(1). 112595–112595. 18 indexed citations
10.
Li, Jingrui, Xuhong Zhang, Hui Li, et al.. (2019). Cloning and expression analysis of LoCCD8 during IAA-induced bulbils outgrowth in lily (Oriental Hybrid ‘Sorbonne’). Journal of Plant Physiology. 236. 39–50. 7 indexed citations
11.
Tao, Yiwei, Quan Xing, Jingjing Quan, et al.. (2019). Association between Increased Inducible Costimulator/Inducible Costimulator Ligand Expression with Bone Destruction in Apical Periodontitis. Journal of Endodontics. 45(7). 890–897. 1 indexed citations
12.
Li, Jingyi, Dong Li, Xue Du, et al.. (2018). Modular organization analysis of specific naringin/neoeriocitrin related gene expression induced by UVC irradiation in Drynaria roosii. Environmental and Experimental Botany. 156. 298–315. 6 indexed citations
13.
Xing, Quan, Wei Qin, Mary Anne S. Melo, et al.. (2017). Decreased Expression of Semaphorin3A/Neuropilin-1 Signaling Axis in Apical Periodontitis. BioMed Research International. 2017. 1–9. 39 indexed citations
14.
Guo, Jia, Wei Qin, Quan Xing, et al.. (2017). TRIM33 is essential for osteoblast proliferation and differentiation via BMP pathway. Journal of Cellular Physiology. 232(11). 3158–3169. 23 indexed citations
15.
Wang, Xiaolin, et al.. (2012). Effects of Diffuse and Direct Lights on Photosynthetic Function in Sorghum Leaf. ACTA AGRONOMICA SINICA. 38(8). 1452–1459. 4 indexed citations
16.
Xing, Quan, Paul de Vos, Maria Faas, Qingsong Ye, & Yijin Ren. (2011). LPS Promotes Pre-osteoclast Activity by Up-regulating CXCR4 via TLR-4. Journal of Dental Research. 90(2). 157–162. 45 indexed citations
17.
Ye, Qingsong, et al.. (2010). Endo180 and MT1-MMP are involved in the phagocytosis of collagen scaffolds by macrophages and is regulated by interferon-gamma. European Cells and Materials. 20. 197–209. 14 indexed citations
18.
Xing, Quan, Qingsong Ye, Mingwen Fan, et al.. (2010). Porphyromonas gingivalis lipopolysaccharide inhibits the osteoblastic differentiation of preosteoblasts by activating Notch1 signaling. Journal of Cellular Physiology. 225(1). 106–114. 49 indexed citations
19.
Li, Jia, et al.. (2009). Tissue culture and rapid propagation of Chirita medica D. Fang ex W. T. Wang. 9(2). 97–101. 6 indexed citations
20.
Yu, Fei, et al.. (2009). Analysis of the molecular mechanisms of targeted anti‐caries DNA plasmid enhancing antibody responses by gene arrays. The Journal of Gene Medicine. 11(4). 354–360. 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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