Yan Chang

2.3k total citations
66 papers, 1.9k citations indexed

About

Yan Chang is a scholar working on Immunology, Molecular Biology and Rheumatology. According to data from OpenAlex, Yan Chang has authored 66 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Immunology, 20 papers in Molecular Biology and 19 papers in Rheumatology. Recurrent topics in Yan Chang's work include Rheumatoid Arthritis Research and Therapies (18 papers), T-cell and B-cell Immunology (15 papers) and Immunotherapy and Immune Responses (12 papers). Yan Chang is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (18 papers), T-cell and B-cell Immunology (15 papers) and Immunotherapy and Immune Responses (12 papers). Yan Chang collaborates with scholars based in China, Saint Kitts and Nevis and Czechia. Yan Chang's co-authors include Wei Wei, Xuezhi Yang, Xiaoyi Jia, Qingtong Wang, Huaxun Wu, Lingling Zhang, Yujing Wu, Wei Wei, Hongmei Xu and Jingyu Chen and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.

In The Last Decade

Yan Chang

61 papers receiving 1.9k citations

Peers

Yan Chang
Yan Chang
Citations per year, relative to Yan Chang Yan Chang (= 1×) peers Bruno Stuhlmüller

Countries citing papers authored by Yan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Chang. A scholar is included among the top collaborators of Yan Chang 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 Yan Chang. Yan Chang 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.
Chang, Yan, Wanzhen Li, Jingqing Chen, et al.. (2025). Methionine in embryonic development: metabolism, redox homeostasis, epigenetic modification and signaling pathway. Critical Reviews in Food Science and Nutrition. 65(32). 8051–8074. 4 indexed citations
2.
Chang, Yan, et al.. (2025). Improved Detection of HIV-1 Drug Resistance With Droplet Digital Polymerase Chain Reaction: A Comparative Study and Its Implications. Open Forum Infectious Diseases. 12(6). ofaf286–ofaf286.
3.
Cai, Ren, et al.. (2025). Effects of cryptotanshinone in treatment of polycystic ovary syndrome in rats: a systematic review and meta-analysis. Frontiers in Pharmacology. 16. 1561164–1561164. 1 indexed citations
4.
Yang, Xiaojie, Fengting Yu, Yan Chang, et al.. (2024). Global trends in the application of droplet digital PCR technology in the field of infectious disease pathogen diagnosis: A bibliometric analysis from 2012 to 2023. Diagnostic Microbiology and Infectious Disease. 111(3). 116623–116623. 2 indexed citations
5.
Hu, Xiaoxi, Aijun Zhang, Lingling Zhang, et al.. (2021). An IgD-Fc-Ig fusion protein restrains the activation of T and B cells by inhibiting IgD-IgDR-Lck signaling in rheumatoid arthritis. Acta Pharmacologica Sinica. 43(2). 387–400. 10 indexed citations
6.
Zhang, Jing, Xiaoxi Hu, Wensheng Chen, et al.. (2020). Regulation of T Cell Activities in Rheumatoid Arthritis by the Novel Fusion Protein IgD-Fc-Ig. Frontiers in Immunology. 11. 755–755. 18 indexed citations
7.
Jia, Xiaoyi, Yan Chang, Xiaojing Sun, et al.. (2019). Regulatory effects of paeoniflorin-6′-O-benzene sulfonate (CP-25) on dendritic cells maturation and activation via PGE2-EP4 signaling in adjuvant-induced arthritic rats. Inflammopharmacology. 27(5). 997–1010. 16 indexed citations
8.
Yang, Xuezhi, Yingjie Zhao, Xiaoyi Jia, et al.. (2018). CP-25 combined with MTX/ LEF ameliorates the progression of adjuvant-induced arthritis by the inhibition on GRK2 translocation. Biomedicine & Pharmacotherapy. 110. 834–843. 42 indexed citations
9.
Chen, Jingyu, Ying Wang, Huaxun Wu, et al.. (2018). A Modified Compound From Paeoniflorin, CP-25, Suppressed Immune Responses and Synovium Inflammation in Collagen-Induced Arthritis Mice. Frontiers in Pharmacology. 9. 563–563. 43 indexed citations
10.
Zhang, Xian‐Zheng, Feng Zhang, Chen Wang, et al.. (2018). Paeoniflorin-6′-O-benzene sulfonate alleviates collagen-induced arthritis in mice by downregulating BAFF-TRAF2-NF-κB signaling: comparison with biological agents. Acta Pharmacologica Sinica. 40(6). 801–813. 36 indexed citations
11.
Wu, Huaxun, Shasha Song, Pingfan Yuan, et al.. (2016). β2-adrenoceptor signaling reduction in dendritic cells is involved in the inflammatory response in adjuvant-induced arthritic rats. Scientific Reports. 6(1). 24548–24548. 45 indexed citations
12.
Chang, Yan, Xiaoyi Jia, Wei Fang, et al.. (2016). CP-25, a novel compound, protects against autoimmune arthritis by modulating immune mediators of inflammation and bone damage. Scientific Reports. 6(1). 26239–26239. 61 indexed citations
13.
Chen, Jingyu, Qingtong Wang, Huaxun Wu, et al.. (2016). The ginsenoside metabolite compound K exerts its anti-inflammatory activity by downregulating memory B cell in adjuvant-induced arthritis. Pharmaceutical Biology. 54(7). 1280–1288. 28 indexed citations
14.
Chen, Jingyu, Huaxun Wu, Qingtong Wang, et al.. (2015). Ginsenoside Metabolite Compound K Suppresses T-Cell Priming via Modulation of Dendritic Cell Trafficking and Costimulatory Signals, Resulting in Alleviation of Collagen-Induced Arthritis. Journal of Pharmacology and Experimental Therapeutics. 353(1). 71–79. 40 indexed citations
15.
Sheng, Kangliang, Jingyu Chen, Yujing Wu, et al.. (2015). Regulation of PGE2 signaling pathways and TNF-alpha signaling pathways on the function of bone marrow-derived dendritic cells and the effects of CP-25. European Journal of Pharmacology. 769. 8–21. 28 indexed citations
16.
Dai, Xing, Liwen Wang, Xiaoyi Jia, et al.. (2015). Paeoniflorin regulates the function of human peripheral blood mononuclear cells stimulated by rhIL-1βby up-regulating Treg expression. Immunopharmacology and Immunotoxicology. 37(3). 252–257. 14 indexed citations
17.
Wang, Ying, Jingyu Chen, Ying Zhang, et al.. (2015). Ginsenoside metabolite compound K exerts joint-protective effect by interfering with synoviocyte function mediated by TNF-α and Tumor necrosis factor receptor type 2. European Journal of Pharmacology. 771. 48–55. 26 indexed citations
18.
Chen, Jingyu, Huaxun Wu, Qingtong Wang, et al.. (2014). Ginsenoside Metabolite Compound K Alleviates Adjuvant-Induced Arthritis by Suppressing T Cell Activation. Inflammation. 37(5). 1608–1615. 46 indexed citations
19.
Wang, Chun, Jun Yuan, Yan Chang, et al.. (2014). Total glucosides of paeony inhibit the inflammatory responses of mice with allergic contact dermatitis by restoring the balanced secretion of pro-/anti-inflammatory cytokines. International Immunopharmacology. 24(2). 325–334. 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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