Weixia Jian

975 total citations
36 papers, 742 citations indexed

About

Weixia Jian is a scholar working on Molecular Biology, Immunology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Weixia Jian has authored 36 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Weixia Jian's work include Bone health and osteoporosis research (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Weixia Jian is often cited by papers focused on Bone health and osteoporosis research (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Weixia Jian collaborates with scholars based in China, United States and Hong Kong. Weixia Jian's co-authors include Wenhui Peng, Hailing Li, Jianhui Zhuang, Hong‐Wen Deng, Yawei Xu, Wenxin Kou, Peipei Luan, Jirong Long, Yan Dong and Jie Jin and has published in prestigious journals such as Nature Communications, PLoS ONE and The FASEB Journal.

In The Last Decade

Weixia Jian

35 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weixia Jian China 16 284 191 140 140 85 36 742
Abhishek Aggarwal United States 21 430 1.5× 166 0.9× 215 1.5× 72 0.5× 81 1.0× 34 1.1k
Ana Cardus Figueras Spain 15 278 1.0× 85 0.4× 139 1.0× 191 1.4× 50 0.6× 22 1.2k
Elfaridah P. Frazier United States 12 280 1.0× 86 0.5× 85 0.6× 66 0.5× 91 1.1× 17 718
Carolyn M Roos United States 7 280 1.0× 99 0.5× 467 3.3× 191 1.4× 35 0.4× 26 949
Guangda Xiang China 13 226 0.8× 85 0.4× 103 0.7× 89 0.6× 188 2.2× 34 627
Ana M. Blázquez‐Medela United States 15 281 1.0× 77 0.4× 91 0.7× 88 0.6× 58 0.7× 24 701
Bankim A. Bhatt United States 10 149 0.5× 157 0.8× 233 1.7× 64 0.5× 134 1.6× 14 590
Yoo La Lee South Korea 13 116 0.4× 238 1.2× 150 1.1× 61 0.4× 76 0.9× 14 497
Anna Sepe Italy 7 217 0.8× 235 1.2× 539 3.9× 117 0.8× 40 0.5× 8 890
Daniel Housa Czechia 12 265 0.9× 452 2.4× 213 1.5× 111 0.8× 49 0.6× 18 969

Countries citing papers authored by Weixia Jian

Since Specialization
Citations

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

Fields of papers citing papers by Weixia Jian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixia Jian

This figure shows the co-authorship network connecting the top 25 collaborators of Weixia Jian. A scholar is included among the top collaborators of Weixia Jian 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 Weixia Jian. Weixia Jian 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.
Yang, Na, Zhijun Lei, Yanxi Zeng, et al.. (2025). Direct inhibition of macrophage sting signaling by curcumol protects against myocardial infarction via attenuating the inflammatory response. Phytomedicine. 138. 156403–156403. 2 indexed citations
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Zhai, Ming, Zhijun Lei, Yanxi Zeng, et al.. (2024). TREM2 macrophage promotes cardiac repair in myocardial infarction by reprogramming metabolism via SLC25A53. Cell Death and Differentiation. 31(2). 239–253. 46 indexed citations
5.
Kou, Wenxin, Ming Zhai, Yanxi Zeng, et al.. (2023). Loss of TET2 impairs endothelial angiogenesis via downregulating STAT3 target genes. Cell & Bioscience. 13(1). 12–12. 6 indexed citations
6.
Zeng, Yanxi, Ming Zhai, Jianhui Zhuang, et al.. (2023). Endothelial TET2 regulates the white adipose browning and metabolism via fatty acid oxidation in obesity. Redox Biology. 69. 103013–103013. 5 indexed citations
7.
Yu, Qing, Wenxin Kou, Ming Zhai, et al.. (2023). Macrophage-Specific NLRC5 Protects From Cardiac Remodeling Through Interaction With HSPA8. JACC Basic to Translational Science. 8(5). 479–496. 16 indexed citations
8.
Li, Mingjie, Zhijun Lei, Wenxin Kou, et al.. (2022). Self-managed weight loss by smart body fat scales ameliorates obesity-related body composition during the COVID-19 pandemic: A follow-up study in Chinese population. Frontiers in Endocrinology. 13. 996814–996814. 2 indexed citations
9.
Zhai, Ming, Peipei Luan, Wenxin Kou, et al.. (2022). Extracellular traps from activated vascular smooth muscle cells drive the progression of atherosclerosis. Nature Communications. 13(1). 7500–7500. 40 indexed citations
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Su, Bin, Wenhui Peng, Liang Li, et al.. (2014). Association of Serum Vaspin and Adiponectin Levels with Renal Function in Patients with or without Type 2 Diabetes Mellitus. Journal of Diabetes Research. 2014. 1–8. 9 indexed citations
12.
Li, Hailing, Wenhui Peng, Jianhui Zhuang, et al.. (2013). Vaspin attenuates high glucose-induced vascular smooth muscle cells proliferation and chemokinesis by inhibiting the MAPK, PI3K/Akt, and NF-κB signaling pathways. Atherosclerosis. 228(1). 61–68. 75 indexed citations
13.
Li, Hailing, Wenhui Peng, Weixia Jian, et al.. (2012). ROCK inhibitor fasudil attenuated high glucose-induced MCP-1 and VCAM-1 expression and monocyte-endothelial cell adhesion. Cardiovascular Diabetology. 11(1). 65–65. 56 indexed citations
14.
Jian, Weixia, Wenhui Peng, Jie Jin, et al.. (2011). Association between serum fibroblast growth factor 21 and diabetic nephropathy. Metabolism. 61(6). 853–859. 51 indexed citations
15.
Wu, Shan, Shan Wu, Shu‐Feng Lei, et al.. (2007). The contributions of lean tissue mass and fat mass to bone geometric adaptation at the femoral neck in Chinese overweight adults. Annals of Human Biology. 34(3). 344–353. 12 indexed citations
16.
Gu, Yanyun, Jian Yang, Di Zhang, et al.. (2006). The -822G/A polymorphism in the promoter region of the MAP4K5 gene is associated with reduced risk of type 2 diabetes in Chinese Hans from Shanghai. Journal of Human Genetics. 51(7). 605–610. 6 indexed citations
17.
Jian, Weixia, Ting Luo, Yunjuan Gu, et al.. (2006). The visfatin gene is associated with glucose and lipid metabolism in a Chinese population. Diabetic Medicine. 23(9). 967–973. 77 indexed citations
18.
Zhou, Weibin, Hong Li, Yanyun Gu, et al.. (2005). The ROC analysis for different time points during oral glucose tolerance test. Diabetes Research and Clinical Practice. 72(1). 88–92. 6 indexed citations
19.
Jian, Weixia, et al.. (2005). Genetic determination of variation and covariation of bone mineral density at the hip and spine in a Chinese population. Journal of Bone and Mineral Metabolism. 23(2). 181–185. 17 indexed citations
20.
Jian, Weixia, Jirong Long, & Hong‐Wen Deng. (2004). High heritability of bone size at the hip and spine in Chinese. Journal of Human Genetics. 49(2). 87–91. 25 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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