Fang Qu

1.4k total citations
51 papers, 645 citations indexed

About

Fang Qu is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Fang Qu has authored 51 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 12 papers in Molecular Biology and 8 papers in Pharmacology. Recurrent topics in Fang Qu's work include Pain Mechanisms and Treatments (7 papers), Healthcare and Venom Research (7 papers) and Dental Implant Techniques and Outcomes (6 papers). Fang Qu is often cited by papers focused on Pain Mechanisms and Treatments (7 papers), Healthcare and Venom Research (7 papers) and Dental Implant Techniques and Outcomes (6 papers). Fang Qu collaborates with scholars based in China, United States and Denmark. Fang Qu's co-authors include Jan Sundell, Louise B. Weschler, Dong Yang, Zhijun Wan, Zijun Feng, Yangsheng Zhao, Yuan Zhang, Dawei Chen, Xiang He and Yinping Zhang and has published in prestigious journals such as Environmental Science & Technology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Fang Qu

44 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Qu China 16 121 111 102 100 84 51 645
Weishe Zhang China 12 37 0.3× 90 0.8× 14 0.1× 55 0.6× 390 4.6× 50 986
E. Rokita Poland 15 70 0.6× 12 0.1× 109 1.1× 47 0.5× 72 0.9× 88 836
Tingting Shi China 18 84 0.7× 11 0.1× 114 1.1× 70 0.7× 50 0.6× 48 780
Catherine E. Johnson United States 16 30 0.2× 48 0.4× 11 0.1× 36 0.4× 112 1.3× 72 714
Qing Lv China 20 41 0.3× 42 0.4× 155 1.5× 307 3.1× 383 4.6× 96 1.5k
Liang Wu China 18 33 0.3× 24 0.2× 30 0.3× 115 1.1× 30 0.4× 139 1.0k
Young Don Kim South Korea 18 69 0.6× 52 0.5× 59 0.6× 145 1.4× 124 1.5× 85 1.5k
Christopher Wallis United States 11 43 0.4× 14 0.1× 10 0.1× 146 1.5× 48 0.6× 31 492
Toshikazu Ito Japan 19 53 0.4× 11 0.1× 140 1.4× 149 1.5× 86 1.0× 88 1.4k
George P. Pappas United States 15 144 1.2× 8 0.1× 68 0.7× 115 1.1× 35 0.4× 31 881

Countries citing papers authored by Fang Qu

Since Specialization
Citations

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

Fields of papers citing papers by Fang Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Qu. A scholar is included among the top collaborators of Fang Qu 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 Fang Qu. Fang Qu 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.
Qu, Fang, Fei Wang, Qiang Chang, et al.. (2025). Study on performance of Fe2N catalyst modified by hydrophobic PDVB-DMF for Fischer-Tropsch synthesis. Journal of Fuel Chemistry and Technology. 53(5). 663–671.
2.
Zhang, Mingzi, Yan Xu, Shenghui Wu, et al.. (2023). Radiologists with assistance of deep learning can achieve overall accuracy of benign–malignant differentiation of musculoskeletal tumors comparable with that of pre-surgical biopsies in the literature. International Journal of Computer Assisted Radiology and Surgery. 18(8). 1451–1458.
3.
Qu, Fang, Yifan Zhang, Yingying Wang, et al.. (2023). Cyclic stretch-induced exosomes from periodontal ligament cells promote osteoblasts osteogenic differentiation via the miR-181d-5p/TNF signaling pathway. Archives of Oral Biology. 157. 105843–105843. 6 indexed citations
4.
Wu, Yaqin, Fang Qu, Yifan Zhang, et al.. (2023). Exosomes from Cyclic Stretched Periodontal Ligament Cells Induced Periodontal Inflammation through miR-9-5p/SIRT1/NF-κB Signaling Pathway. The Journal of Immunology. 210(12). 2001–2015. 11 indexed citations
5.
Peng, Lijun, Yanping Chen, Fang Qu, Yan Zhong, & Zhi‐Sheng Jiang. (2023). Correlation of Gut Microbiota with Children Obesity and Weight Loss. Indian Journal of Microbiology. 64(1). 82–91. 5 indexed citations
6.
Wang, Xiang, Lü Yang, Mingzi Zhang, et al.. (2022). Comparison and verification of two deep learning models for the detection of chest CT rib fractures. Acta Radiologica. 64(2). 542–551. 7 indexed citations
7.
Qu, Fang, Xing Yang, Jingyuan Yang, et al.. (2022). Interaction between arteriosclerosis and the APOE4 gene in cognitive decline in older adults: a cross‐sectional study in rural minority areas in western China. Psychogeriatrics. 22(2). 243–251. 1 indexed citations
8.
Zhuang, Jiabao, et al.. (2021). The application of individualized abutment‐crown integrated provisional restoration in optimizing the peri‐implant soft tissue contour in the esthetic zone. Journal of Esthetic and Restorative Dentistry. 33(4). 560–566. 6 indexed citations
9.
Qu, Fang, Yaqin Wu, Yujie Huang, et al.. (2021). The protective role of Ephrin-B2/EphB4 signaling in osteogenic differentiation under inflammatory environment. Experimental Cell Research. 400(2). 112505–112505. 8 indexed citations
10.
Li, Wei, Dawei Chen, Zhijia Xu, et al.. (2020). Melodinhenine B attenuates NLRP3 expression in a cerebral ischemia/reperfusion-induced neuronal injury rat model. Folia Neuropathologica. 58(1). 30–37. 4 indexed citations
11.
Guo, Yixian, Qiong Song, Mengmeng Jiang, et al.. (2020). Histological Subtypes Classification of Lung Cancers on CT Images Using 3D Deep Learning and Radiomics. Academic Radiology. 28(9). e258–e266. 62 indexed citations
12.
Wang, Yingying, Qi Zhong, Yaqin Wu, et al.. (2020). Suppressing ROS generation by apocynin inhibited cyclic stretch-induced inflammatory reaction in HPDLCs via a caspase-1 dependent pathway. International Immunopharmacology. 90. 107129–107129. 15 indexed citations
13.
Huang, Shaodan, Eric Garshick, Louise B. Weschler, et al.. (2019). Home environmental and lifestyle factors associated with asthma, rhinitis and wheeze in children in Beijing, China. Environmental Pollution. 256. 113426–113426. 36 indexed citations
14.
15.
Qu, Fang, Xue Du, & Weicai Liu. (2018). 3D-printed custom trays with a Gothic arch for centric relation recording and definitive impression making for complete dentures: A dental technique. Journal of Prosthetic Dentistry. 121(1). 32–36. 15 indexed citations
16.
Qu, Fang, Louise B. Weschler, Yuexia Sun, & Jan Sundell. (2017). High pneumonia lifetime-ever incidence in Beijing children compared with locations in other countries, and implications for national PCV and Hib vaccination. PLoS ONE. 12(2). e0171438–e0171438. 16 indexed citations
17.
Zhou, Zhonghe, Fang Qu, & Chaodong Zhang. (2011). Systemic administration of argatroban inhibits protease-activated receptor-1 expression in perihematomal tissue in rats with intracerebral hemorrhage. Brain Research Bulletin. 86(3-4). 235–238. 14 indexed citations
18.
19.
Qu, Fang. (2006). Effects of antipsychotic on pituitary-gonadal axis in male patients with schizophrenia. The Journal of Clinical Psychiatry. 2 indexed citations
20.
Qu, Fang. (2005). Caspase Inhibitors and Neurologic Diseases. 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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