Chang Xia

1.2k total citations
20 papers, 931 citations indexed

About

Chang Xia is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Chang Xia has authored 20 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 5 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Chang Xia's work include Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (3 papers) and Diabetes Treatment and Management (3 papers). Chang Xia is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (3 papers) and Diabetes Treatment and Management (3 papers). Chang Xia collaborates with scholars based in United States, China and Germany. Chang Xia's co-authors include Xiaoquan Rao, Jixin Zhong, Zachary Braunstein, Michael Clare‐Salzler, Junjun Wang, Wei‐Chiang Shen, Benjamin G. Keselowsky, Natalia V. Dolgova, Clive Wasserfall and Mark A. Atkinson and has published in prestigious journals such as PLoS ONE, Journal of Pharmacology and Experimental Therapeutics and Frontiers in Immunology.

In The Last Decade

Chang Xia

20 papers receiving 916 citations

Peers

Chang Xia

IMMUN

EDM

EPIDE

GENET

Ann-Marcia C. Tukpah United States

Jatin Patel Australia

Yiannis Vasilopoulos Greece

Haiyun Liu United States

Eugeniusz J. Kucharz Poland

Bodo Lehmann Germany

Jinyu Zhang China

Robert Suriano United States

Małgorzata Rusak Poland

Xiao Han China

Ann-Marcia C. Tukpah United States

Chang Xia

594 ×1.7

IMMUN

209 ×0.6

64 ×0.5

EDM

197 ×1.7

EPIDE

135 ×1.2

GENET

Citations per year, relative to Chang Xia Chang Xia (= 1×) peers Ann-Marcia C. Tukpah

Countries citing papers authored by Chang Xia

Since Specialization

Citations

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

Fields of papers citing papers by Chang Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Xia. A scholar is included among the top collaborators of Chang Xia 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 Chang Xia. Chang Xia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Mengtian, Zhixia Zhang, Yuanxia Liu, et al.. (2022). The dynamic change of urinary selenium concentration during pregnancy and influencing factors: A longitudinal study. Journal of Trace Elements in Medicine and Biology. 71. 126960–126960. 2 indexed citations

Zheng, Tongzhang, Chang Xia, Qi Ling, et al.. (2021). Plasma levels of trace element status in early pregnancy and the risk of gestational diabetes mellitus: A nested case-control study. Journal of Trace Elements in Medicine and Biology. 68. 126829–126829. 28 indexed citations

Ling, Qi, Chang Xia, Yuanxia Liu, et al.. (2020). The intention to undertake physical activity in pregnant women using the theory of planned behaviour. Journal of Advanced Nursing. 76(7). 1647–1657. 15 indexed citations

Xia, Chang, Xiaoquan Rao, Zachary Braunstein, et al.. (2019). MRP14 enhances the ability of macrophage to recruit T cells and promotes obesity-induced insulin resistance. International Journal of Obesity. 43(12). 2434–2447. 8 indexed citations

Rao, Xiaoquan, Laureano D. Asico, Panos Zanos, et al.. (2019). Alpha2B-Adrenergic Receptor Overexpression in the Brain Potentiate Air Pollution-induced Behavior and Blood Pressure Changes. Toxicological Sciences. 169(1). 95–107. 23 indexed citations

Xia, Chang, et al.. (2018). S100 Proteins As an Important Regulator of Macrophage Inflammation. Frontiers in Immunology. 8. 1908–1908. 295 indexed citations

Duan, Lihua, Xiaoquan Rao, Chang Xia, Sanjay Rajagopalan, & Jixin Zhong. (2017). The regulatory role of DPP4 in atherosclerotic disease. Cardiovascular Diabetology. 16(1). 76–76. 21 indexed citations

Xia, Chang, Aditya Goud, Jason D’Souza, et al.. (2017). DPP4 inhibitors and cardiovascular outcomes: safety on heart failure. Heart Failure Reviews. 22(3). 299–304. 23 indexed citations

Wu, Qunfeng, Liya Pi, Thu Le Trinh, et al.. (2017). A Novel Vaccine Targeting Glypican-3 as a Treatment for Hepatocellular Carcinoma. Molecular Therapy. 25(10). 2299–2308. 30 indexed citations

10.

Xia, Chang, Xiaoquan Rao, & Jixin Zhong. (2017). Role of T Lymphocytes in Type 2 Diabetes and Diabetes-Associated Inflammation. Journal of Diabetes Research. 2017. 1–6. 183 indexed citations

11.

Zhong, Jixin, Katryn Allen, Xiaoquan Rao, et al.. (2016). Repeated ozone exposure exacerbates insulin resistance and activates innate immune response in genetically susceptible mice. Inhalation Toxicology. 28(9). 383–392. 36 indexed citations

12.

Lewis, Jamal S., Natalia V. Dolgova, Ying Zhang, et al.. (2015). A combination dual-sized microparticle system modulates dendritic cells and prevents type 1 diabetes in prediabetic NOD mice. Clinical Immunology. 160(1). 90–102. 81 indexed citations

13.

Davoodi‐Semiromi, Abdoreza, Clive Wasserfall, Chang Xia, et al.. (2012). The Tyrphostin Agent AG490 Prevents and Reverses Type 1 Diabetes in NOD Mice. PLoS ONE. 7(5). e36079–e36079. 20 indexed citations

14.

Keselowsky, Benjamin G., Chang Xia, & Michael Clare‐Salzler. (2011). Multifunctional dendritic cell-targeting polymeric microparticles. Human Vaccines. 7(1). 37–44. 35 indexed citations

15.

Huang, Wenyan, Chang Xia, & Marie Chatham. (2011). Infectious disease or Hashimoto's encephalopathy flares: A case report. Seizure. 20(9). 717–719. 13 indexed citations

16.

He, Rong, Chang Xia, Qiang Ruan, et al.. (2011). Sequence analysis of human cytomegalovirus US28 gene in low-passage clinical isolates from children and AIDS patients.. Acta Biochimica Polonica. 58(2). 231–6. 2 indexed citations

17.

Acharya, Abhinav P., Natalia V. Dolgova, Chang Xia, Michael Clare‐Salzler, & Benjamin G. Keselowsky. (2010). Adhesive substrates modulate the activation and stimulatory capacity of non-obese diabetic mouse-derived dendritic cells. Acta Biomaterialia. 7(1). 180–192. 23 indexed citations

18.

Xia, Chang, Rong He, Qiang Ruan, et al.. (2006). [Polymorphisms of HCMV US28 gene of the clinical isolates from children].. PubMed. 20(1). 23–5. 1 indexed citations

19.

He, Rong, Qiang Ruan, Chang Xia, et al.. (2004). Sequence variability of human cytomegalovirus UL144 open reading frame in low-passage clinical isolates.. PubMed. 19(4). 293–7. 8 indexed citations

20.

Xia, Chang, Junjun Wang, & Wei‐Chiang Shen. (2000). Hypoglycemic Effect of Insulin-Transferrin Conjugate in Streptozotocin-Induced Diabetic Rats. Journal of Pharmacology and Experimental Therapeutics. 295(2). 594–600. 84 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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