Xuan Qi

883 total citations · 1 hit paper
39 papers, 540 citations indexed

About

Xuan Qi is a scholar working on Molecular Biology, Rheumatology and Genetics. According to data from OpenAlex, Xuan Qi has authored 39 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Rheumatology and 9 papers in Genetics. Recurrent topics in Xuan Qi's work include Salivary Gland Disorders and Functions (6 papers), Hypertrophic osteoarthropathy and related conditions (6 papers) and Autoimmune Bullous Skin Diseases (5 papers). Xuan Qi is often cited by papers focused on Salivary Gland Disorders and Functions (6 papers), Hypertrophic osteoarthropathy and related conditions (6 papers) and Autoimmune Bullous Skin Diseases (5 papers). Xuan Qi collaborates with scholars based in China, Hong Kong and United States. Xuan Qi's co-authors include Yiming Mu, Zhaohui Lyu, Kang Chen, Weijun Gu, Yi Ning, Zewei Shen, Weibo Xia, Ou Wang, Xiaoping Xing and Mei Li and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Applied Catalysis B: Environmental and Journal of Bone and Mineral Research.

In The Last Decade

Xuan Qi

37 papers receiving 534 citations

Hit Papers

Prevalence of obesity and associated complications in Chi... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuan Qi China 12 151 112 102 65 62 39 540
Jong Kil Joo South Korea 18 120 0.8× 90 0.8× 70 0.7× 44 0.7× 63 1.0× 94 885
Elettra Mancuso Italy 11 213 1.4× 120 1.1× 154 1.5× 40 0.6× 74 1.2× 25 678
Yukishige Yanagawa Japan 15 187 1.2× 116 1.0× 122 1.2× 37 0.6× 71 1.1× 39 616
Miao Yang China 16 210 1.4× 162 1.4× 159 1.6× 107 1.6× 64 1.0× 44 768
Aysel Kıyıcı Türkiye 16 78 0.5× 82 0.7× 82 0.8× 34 0.5× 73 1.2× 57 743
Robin Myte Sweden 15 191 1.3× 55 0.5× 99 1.0× 82 1.3× 53 0.9× 28 574
Omar Jamal Australia 15 162 1.1× 66 0.6× 174 1.7× 42 0.6× 44 0.7× 22 663
Csaba Bereczki Hungary 17 202 1.3× 48 0.4× 70 0.7× 32 0.5× 73 1.2× 67 826
Nevzat Gözel Türkiye 11 87 0.6× 121 1.1× 69 0.7× 59 0.9× 47 0.8× 47 526
Yalçın Aral Türkiye 19 119 0.8× 139 1.2× 84 0.8× 32 0.5× 110 1.8× 53 786

Countries citing papers authored by Xuan Qi

Since Specialization
Citations

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

Fields of papers citing papers by Xuan Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Xuan Qi. A scholar is included among the top collaborators of Xuan Qi 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 Xuan Qi. Xuan Qi 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.
2.
Qi, Xuan, Jun‐Hao Wang, Jiang Shao, et al.. (2025). Rare-earth hydroxide promoted water activation drives hydrogen spillover in facilitating asymmetric C–C coupling for CO2 electro-reduction to multi-carbon chemicals. Applied Catalysis B: Environmental. 382. 125920–125920.
3.
Qi, Xuan, Doudou Zhao, Yipeng Han, et al.. (2025). B lymphocyte subset-based stratification in primary Sjögren’s syndrome: implications for lymphoma risk and personalized treatment. Clinical Rheumatology. 44(6). 2403–2412.
4.
Zhang, Guyu, Fei Shao, Junyuan Wu, et al.. (2024). Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers. European journal of medical research. 29(1). 156–156. 23 indexed citations
5.
Chen, Kang, Zewei Shen, Weijun Gu, et al.. (2023). Prevalence of obesity and associated complications in China: A cross‐sectional, real‐world study in 15.8 million adults. Diabetes Obesity and Metabolism. 25(11). 3390–3399. 175 indexed citations breakdown →
6.
Xu, Yuping, Ruoxi Liao, Ye Li, et al.. (2023). Comparison of bone microstructure and strength in the distal radius and tibia between the different types of primary hypertrophic osteoarthropathy: an HR-pQCT study. Osteoporosis International. 34(8). 1453–1464. 2 indexed citations
7.
Tian, Yu, et al.. (2022). Acute intermittent porphyria: prevalence of pathogenic HMBS variants in China, and epidemiological survey in Hebei Province, China. Annals of Translational Medicine. 10(10). 560–560. 5 indexed citations
8.
Sun, Chao, et al.. (2022). Importance of baseline musculoskeletal ultrasound findings in the prognosis of rheumatoid arthritis. Clinical Rheumatology. 41(3). 847–857. 2 indexed citations
9.
Li, Jiantao, et al.. (2022). Serum sulfatide as a biomarker of carotid atherosclerosis in patients with rheumatoid arthritis. Clinica Chimica Acta. 534. 6–13. 4 indexed citations
10.
Qi, Xuan, et al.. (2020). Clinical significance of progranulin correlated with serum soluble Oxford 40 ligand in primary Sjögren's syndrome. Medicine. 99(18). e19967–e19967. 1 indexed citations
11.
Jiajue, Ruizhi, Xuan Qi, Yan Jiang, et al.. (2019). Incident Fracture Risk in Type 2 Diabetic Postmenopausal Women in Mainland China: Peking Vertebral Fracture Study. Calcified Tissue International. 105(5). 466–475. 17 indexed citations
12.
Sun, Chao, Xuan Qi, Yu Tian, et al.. (2019). Risk factors for the formation of double-contour sign and tophi in gout. Journal of Orthopaedic Surgery and Research. 14(1). 239–239. 6 indexed citations
14.
Jiajue, Ruizhi, Yan Jiang, Xuan Qi, et al.. (2019). Calciotropic Hormones and the Prevalence of Vertebral Fractures in Chinese Postmenopausal Women with Vitamin D Insufficiency: Peking Vertebral Fracture Study. Calcified Tissue International. 104(6). 622–630. 5 indexed citations
15.
Qi, Xuan, Chao Sun, Yu Tian, et al.. (2017). Comparison of the diagnostic value of four scoring systems in primary sjögren’s syndrome patients. Immunology Letters. 188. 9–12. 11 indexed citations
16.
Qi, Xuan, Qianqian Pang, Jiawei Wang, et al.. (2017). Familial Early-Onset Paget’s Disease of Bone Associated with a Novel hnRNPA2B1 Mutation. Calcified Tissue International. 101(2). 159–169. 25 indexed citations
17.
Pang, Qianqian, Xuan Qi, Yan Jiang, et al.. (2016). Clinical and genetic findings in a Chinese family with VDR-associated hereditary vitamin D-resistant rickets. Bone Research. 4(1). 16018–16018. 3 indexed citations
18.
Qi, Xuan, et al.. (2016). Post-translational modifications of α-synuclein contribute to neurodegeneration in the colon of elderly individuals. Molecular Medicine Reports. 13(6). 5077–5083. 14 indexed citations
19.
Pang, Qianqian, Xuan Qi, Yan Jiang, et al.. (2015). Two novel CAII mutations causing carbonic anhydrase II deficiency syndrome in two unrelated Chinese families. Metabolic Brain Disease. 30(4). 989–997. 14 indexed citations
20.
Qi, Xuan, Shengli Xu, Dehong Lu, et al.. (2011). Increase expression of α-synuclein in aged human brain associated with neuromelanin accumulation. Journal of Neural Transmission. 118(11). 1575–1583. 33 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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