Wei Xiang

1.6k total citations
24 papers, 1.2k citations indexed

About

Wei Xiang is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Wei Xiang has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Wei Xiang's work include Vitamin D Research Studies (5 papers), Autism Spectrum Disorder Research (3 papers) and COVID-19 Clinical Research Studies (2 papers). Wei Xiang is often cited by papers focused on Vitamin D Research Studies (5 papers), Autism Spectrum Disorder Research (3 papers) and COVID-19 Clinical Research Studies (2 papers). Wei Xiang collaborates with scholars based in China, United States and Australia. Wei Xiang's co-authors include Wei Zheng, Yan Chun Li, Juan Kong, Guilin Qiao, Milan R. Uskoković, Liping Cao, Wenhua Liu, David G. Gardner, Xin‐Min Li and Songcang Chen and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Frontiers in Immunology and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Wei Xiang

20 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Xiang China 11 775 347 173 152 151 24 1.2k
Anna Challa Greece 22 440 0.6× 318 0.9× 174 1.0× 152 1.0× 139 0.9× 79 1.4k
Amy E. Riek United States 15 876 1.1× 350 1.0× 57 0.3× 200 1.3× 194 1.3× 19 1.5k
Katie N. Evans United Kingdom 10 1.1k 1.5× 348 1.0× 63 0.4× 284 1.9× 67 0.4× 12 1.6k
Peter J. Tebben United States 21 524 0.7× 276 0.8× 421 2.4× 81 0.5× 226 1.5× 61 1.6k
Erman Çakal Türkiye 23 439 0.6× 133 0.4× 191 1.1× 161 1.1× 204 1.4× 196 2.1k
Anna Maria Formenti Italy 25 616 0.8× 347 1.0× 108 0.6× 52 0.3× 178 1.2× 52 1.8k
J.-C. Souberbielle France 21 785 1.0× 236 0.7× 473 2.7× 178 1.2× 135 0.9× 37 1.5k
Waldemar Misiorowski Poland 11 468 0.6× 185 0.5× 180 1.0× 109 0.7× 69 0.5× 40 970
Marie‐Hélène Gannagé‐Yared Lebanon 15 629 0.8× 330 1.0× 56 0.3× 179 1.2× 231 1.5× 53 1.3k
Masoud Amini Iran 22 416 0.5× 231 0.7× 52 0.3× 250 1.6× 177 1.2× 98 1.7k

Countries citing papers authored by Wei Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Xiang. A scholar is included among the top collaborators of Wei Xiang 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 Wei Xiang. Wei Xiang 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
2.
Jiang, Hongyun, Jiang Qiu, Yifan Zhang, et al.. (2025). Prevalence of Brucella in dogs in China: a systematic review and meta-analysis—Epidemiological analysis of canine brucellosis. Frontiers in Veterinary Science. 11. 1515405–1515405. 1 indexed citations
3.
Duan, Zhizhou, et al.. (2024). Non-linear associations between night shifts and adverse events in nursing staff: a restricted cubic spline analysis. BMC Nursing. 23(1). 602–602. 1 indexed citations
4.
Liu, Li, Yi Ren, Jing Xue, et al.. (2024). Perfluorinated compounds linked to central precocious puberty in girls during COVID-19: an untargeted metabolomics study. Frontiers in Endocrinology. 15. 1491411–1491411.
5.
Wang, Meijuan, et al.. (2023). Activity-Dependent Differential Regulation of Auts2 Isoforms In Vitro and In Vivo. Molecular Neurobiology. 60(6). 2973–2985.
6.
Huang, Peng, et al.. (2023). Gut microbiome combined with metabolomics reveals biomarkers and pathways in central precocious puberty. Journal of Translational Medicine. 21(1). 316–316. 18 indexed citations
7.
Huang, Xiaoyan, et al.. (2023). Postnatal feeding with high-fat combined with high-glucose diet induces precocious puberty in Sprague‒Dawley rat pups. Biochemical and Biophysical Research Communications. 693. 149199–149199. 5 indexed citations
8.
Xiang, Wei, et al.. (2023). The Synaptic and Circuit Functions of Vitamin D in Neurodevelopment Disorders. Neuropsychiatric Disease and Treatment. Volume 19. 1515–1530. 20 indexed citations
9.
Li, Bo, Ge Zhang, Qianqian Pang, et al.. (2023). [Selumetinib in the treatment of type 1 neurofibromatosis in a child].. PubMed. 61(10). 938–940.
10.
Li, Yongsheng, Tao Pan, Jing Guo, et al.. (2022). Pediatric Pan-Central Nervous System Tumor Methylome Analyses Reveal Immune-Related LncRNAs. Frontiers in Immunology. 13. 853904–853904. 5 indexed citations
11.
Ding, Yan, et al.. (2021). CircELK4 Contributes to Lupus Nephritis by Acting as a miR-27b-3p Sponge to Regulate STING/IRF3/IFN-I Signaling. Inflammation. 44(5). 2106–2119. 16 indexed citations
12.
Zhang, Yuehua, Meifang Xiao, Yong Wei, et al.. (2021). Epidemiological investigation of a COVID-19 family cluster outbreak transmitted by a 3-month-old infant. Health Information Science and Systems. 9(1). 6–6. 6 indexed citations
13.
Li, Ling, et al.. (2021). Untangle the Multi-Facet Functions of Auts2 as an Entry Point to Understand Neurodevelopmental Disorders. Frontiers in Psychiatry. 12. 580433–580433. 10 indexed citations
14.
Liu, Taohua, Mingyi Zhao, Xiqiang Dang, et al.. (2021). Correlation Analysis between Gut Microbiota and Metabolites in Children with Systemic Lupus Erythematosus. Journal of Immunology Research. 2021. 1–12. 35 indexed citations
15.
Xiang, Wei, et al.. (2020). IFN-I Mediates Dysfunction of Endothelial Progenitor Cells in Atherosclerosis of Systemic Lupus Erythematosus. Frontiers in Immunology. 11. 581385–581385. 34 indexed citations
16.
Zhang, Yuehua, Daniel J. Lin, Meifang Xiao, et al.. (2020). [2019 novel coronavirus infection in a three-month-old baby].. PubMed. 58(0). 182–184. 74 indexed citations
17.
He, Xiaojie, Yan Ding, Wei Xiang, & Xiqiang Dang. (2016). Roles of 1,25(OH)2D3 and Vitamin D Receptor in the Pathogenesis of Rheumatoid Arthritis and Systemic Lupus Erythematosus by Regulating the Activation of CD4+ T Cells and the PKCδ/ERK Signaling Pathway. Cellular Physiology and Biochemistry. 40(3-4). 743–756. 38 indexed citations
18.
Xiang, Wei, Juan Kong, Songcang Chen, et al.. (2004). Cardiac hypertrophy in vitamin D receptor knockout mice: role of the systemic and cardiac renin-angiotensin systems. American Journal of Physiology-Endocrinology and Metabolism. 288(1). E125–E132. 446 indexed citations
19.
Li, Yan Chun, Guilin Qiao, Milan R. Uskoković, et al.. (2004). Vitamin D: a negative endocrine regulator of the renin–angiotensin system and blood pressure. The Journal of Steroid Biochemistry and Molecular Biology. 89-90(1-5). 387–392. 466 indexed citations
20.
Xiang, Wei, et al.. (2003). [Apolipoprotein E gene expression in peripheral blood monocyte in children with obesity].. PubMed. 41(10). 755–60. 2 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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