Xiaoxia Zhu

4.3k total citations · 1 hit paper
121 papers, 3.3k citations indexed

About

Xiaoxia Zhu is a scholar working on Molecular Biology, Nephrology and Immunology. According to data from OpenAlex, Xiaoxia Zhu has authored 121 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 27 papers in Nephrology and 20 papers in Immunology. Recurrent topics in Xiaoxia Zhu's work include Gout, Hyperuricemia, Uric Acid (27 papers), Inflammasome and immune disorders (9 papers) and Systemic Sclerosis and Related Diseases (9 papers). Xiaoxia Zhu is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (27 papers), Inflammasome and immune disorders (9 papers) and Systemic Sclerosis and Related Diseases (9 papers). Xiaoxia Zhu collaborates with scholars based in China, United States and Hong Kong. Xiaoxia Zhu's co-authors include Hejian Zou, Yu Xue, Jianhua Qiu, Minrui Liang, Xue Yang, Jiyu Cao, Cijiang Yao, Eng H. Lo, Weiguo Wan and Yiyun Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Xiaoxia Zhu

116 papers receiving 3.2k citations

Hit Papers

Prevalence of Hyperuricem... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoxia Zhu China 34 996 588 527 440 402 121 3.3k
Huimei Chen China 37 1.8k 1.8× 706 1.2× 375 0.7× 336 0.8× 176 0.4× 119 4.4k
Yang Xia China 35 823 0.8× 297 0.5× 351 0.7× 729 1.7× 301 0.7× 228 4.1k
Zhe Feng China 33 1.3k 1.3× 580 1.0× 334 0.6× 379 0.9× 258 0.6× 150 3.4k
Xiaoshu Cheng China 31 937 0.9× 318 0.5× 240 0.5× 571 1.3× 293 0.7× 242 4.1k
Lei Jiang China 30 1.4k 1.4× 745 1.3× 233 0.4× 256 0.6× 251 0.6× 101 3.0k
Gabriela García United States 36 1.2k 1.2× 992 1.7× 523 1.0× 1.2k 2.6× 592 1.5× 67 4.3k
Cheng Wang China 37 1.5k 1.5× 403 0.7× 458 0.9× 212 0.5× 205 0.5× 220 4.4k
Edgar A. Jaimes United States 37 1.1k 1.1× 671 1.1× 358 0.7× 252 0.6× 383 1.0× 117 3.9k
Fan Fan Hou China 30 1.1k 1.1× 1.2k 2.0× 244 0.5× 251 0.6× 231 0.6× 55 3.3k
Suhail Al‐Salam United Arab Emirates 35 739 0.7× 230 0.4× 379 0.7× 217 0.5× 564 1.4× 149 3.4k

Countries citing papers authored by Xiaoxia Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxia Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxia Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxia Zhu. A scholar is included among the top collaborators of Xiaoxia Zhu 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 Xiaoxia Zhu. Xiaoxia Zhu 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.
Chen, Chen, Wenjing Ye, Haihua Yang, et al.. (2025). The predictive value of anti-IFI16 antibodies for the development or persistence of digital ulcers in systemic sclerosis. Clinical Rheumatology. 44(2). 727–738. 1 indexed citations
2.
Tang, Yuan Yan, Yue Zhao, Zixiang Chen, et al.. (2025). IL-18 drives the Bhlhe40-mediated pathogenic Th17 cell response and exacerbates autoimmune disease progression. Cellular and Molecular Immunology. 22(12). 1581–1597.
3.
Zhou, Xiaofeng, Xingwang Liu, Xiaoxia Zhu, et al.. (2025). Deconstruction of tophi and synovium defines SPP1+ macrophages involved in extracellular matrix remodelling in gout. Annals of the Rheumatic Diseases. 84(12). 2088–2102.
4.
Shali, Shalaimaiti, et al.. (2024). CRISPR/Cas9 Mediated Deletion of the Uox Gene Generates a Mouse Model of Hyperuricemia with Multiple Complications. Journal of Cardiovascular Translational Research. 17(6). 1455–1465. 1 indexed citations
5.
Ren, Peng, Jingya Wang, Xiaohui Zhu, et al.. (2024). Immune-Related Molecules CD3G and FERMT3: Novel Biomarkers Associated with Sepsis. International Journal of Molecular Sciences. 25(2). 749–749. 1 indexed citations
7.
Zhu, Xiaoxia, Siqi Fan, Jie Zhang, et al.. (2023). Meroterpenoids with divers' rings systems from Phyllosticta capitalensis and their anti-inflammatory activity. Phytochemistry. 217. 113918–113918. 2 indexed citations
8.
Luo, Jing, et al.. (2023). Recent progress in the effect of ferroptosis of HSCs on the development of liver fibrosis. Frontiers in Molecular Biosciences. 10. 1258870–1258870. 10 indexed citations
9.
Ding, Peng‐Xu, Yujia Ma, Xiaoxia Zhu, et al.. (2023). Safety and Effectiveness of a Novel Tips Access Set with Steerable Cannula in a Swine Model. CardioVascular and Interventional Radiology. 46(10). 1394–1400.
11.
Li, Jian, Huiyu Zhou, Mingqiu Liu, et al.. (2023). Cepharanthine Ameliorates Pulmonary Fibrosis by Inhibiting the NF-κB/NLRP3 Pathway, Fibroblast-to-Myofibroblast Transition and Inflammation. Molecules. 28(2). 753–753. 20 indexed citations
12.
Meng, Zhiyun, Xiaoxia Zhu, Zhuona Wu, et al.. (2022). A rapid quantitative method by liquid chromatography–tandem mass spectrometry for the measurement of anthocyanins and their metabolic characteristics in Sprague–Dawley rats. European Food Research and Technology. 248(8). 2109–2124. 3 indexed citations
13.
Zhang, Bohan, Yaxin Chen, Wenjuan Wang, et al.. (2022). Type II collagen facilitates gouty arthritis by regulating MSU crystallisation and inflammatory cell recruitment. Annals of the Rheumatic Diseases. 82(3). 416–427. 37 indexed citations
14.
Zhao, Li, Tianyi Zhao, Xue Yang, et al.. (2022). IL-37 blocks gouty inflammation by shaping macrophages into a non-inflammatory phagocytic phenotype. Lara D. Veeken. 61(9). 3841–3853. 21 indexed citations
15.
Zhang, Mei, Xiaoxia Zhu, Jing Wu, et al.. (2022). Prevalence of Hyperuricemia Among Chinese Adults: Findings From Two Nationally Representative Cross-Sectional Surveys in 2015–16 and 2018–19. Frontiers in Immunology. 12. 791983–791983. 230 indexed citations breakdown →
16.
Xiao, Fan, Wenhan Du, Xiaoxia Zhu, et al.. (2021). IL‐17 drives salivary gland dysfunction via inhibiting TRPC1‐mediated calcium movement in Sjögren’s syndrome. Clinical & Translational Immunology. 10(4). e1277–e1277. 20 indexed citations
17.
Zhu, Xiaoxia, et al.. (2021). Basilar Artery Dolichosis Increases the Risk of Long–Term Recurrence in Patients With Pontine Infarction: A Prospective Cohort Study. Frontiers in Neurology. 12. 788145–788145. 2 indexed citations
18.
Yu, Yiyun, Jie Yang, Yu Xue, et al.. (2019). Leptin Promotes Monosodium Urate Crystal–Induced Inflammation in Human and Murine Models of Gout. The Journal of Immunology. 202(9). 2728–2736. 26 indexed citations
19.
20.
Zhu, Xiaoxia, et al.. (2009). [Study on the risk factors of injuries among children at school age, from the families of migrant workers in Hangzhou city].. PubMed. 30(9). 911–4. 5 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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