Chaoming Mao

2.3k total citations
53 papers, 1.5k citations indexed

About

Chaoming Mao is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Chaoming Mao has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 19 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Chaoming Mao's work include T-cell and B-cell Immunology (17 papers), Immune Cell Function and Interaction (16 papers) and Immunotherapy and Immune Responses (8 papers). Chaoming Mao is often cited by papers focused on T-cell and B-cell Immunology (17 papers), Immune Cell Function and Interaction (16 papers) and Immunotherapy and Immune Responses (8 papers). Chaoming Mao collaborates with scholars based in China, Hong Kong and United States. Chaoming Mao's co-authors include Shengjun Wang, Yichuan Xiao, Liwei Lu, Jie Tian, Xuefeng Wang, Huaxi Xu, Zhijun Jiao, Tingting Zheng, Jie Ma and Min Jin and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Chaoming Mao

52 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoming Mao China 20 758 454 311 238 150 53 1.5k
Hideki Ogura Japan 20 792 1.0× 453 1.0× 392 1.3× 141 0.6× 157 1.0× 37 1.8k
Pia Rantakari Finland 22 540 0.7× 565 1.2× 283 0.9× 175 0.7× 136 0.9× 46 1.5k
Meixiang Yang China 20 503 0.7× 495 1.1× 204 0.7× 131 0.6× 152 1.0× 38 1.2k
Liuluan Zhu China 16 628 0.8× 578 1.3× 367 1.2× 341 1.4× 155 1.0× 41 1.5k
Kimberly J. Payne United States 29 866 1.1× 819 1.8× 302 1.0× 140 0.6× 166 1.1× 69 2.4k
H. Eric Canada 14 539 0.7× 752 1.7× 251 0.8× 345 1.4× 176 1.2× 21 1.5k
Gudrun Strauß Germany 24 756 1.0× 630 1.4× 351 1.1× 105 0.4× 139 0.9× 53 1.7k
Laura Tesmer United States 8 947 1.2× 322 0.7× 217 0.7× 117 0.5× 126 0.8× 9 1.6k
Yang Ma China 25 699 0.9× 789 1.7× 515 1.7× 221 0.9× 68 0.5× 54 1.8k
Qian Ma China 21 948 1.3× 960 2.1× 324 1.0× 343 1.4× 67 0.4× 65 2.2k

Countries citing papers authored by Chaoming Mao

Since Specialization
Citations

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

Fields of papers citing papers by Chaoming Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoming Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoming Mao. A scholar is included among the top collaborators of Chaoming Mao 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 Chaoming Mao. Chaoming Mao 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.
Liu, Xi, Shang Wang, Xiaolong Luo, et al.. (2025). Treatment With Schistosoma Japonicum Peptide SJMHE1 and SJMHE1-Loaded Hydrogel for the Mitigation of Psoriasis. PubMed. Volume 15. 85–104. 1 indexed citations
2.
Liu, Jiameng, Chaoming Mao, Xiao‐Ming Mao, et al.. (2025). T3 and T4 autoantibodies: emerging biomarkers for evaluating thyroid disorders. Frontiers in Endocrinology. 16. 1537222–1537222.
3.
4.
Ye, Fei, Xiao Yuan, Yali Ma, et al.. (2024). EGFR-TKIs Combined with Allogeneic CD8+ NKT Cell Immunotherapy to Treat Patients with Advanced EGFR-Mutated Lung Cancer. Technology in Cancer Research & Treatment. 23. 2234015086–2234015086. 1 indexed citations
5.
6.
Dong, Liyang, Ying Wang, Tingting Zheng, et al.. (2021). Hypoxic hUCMSC-derived extracellular vesicles attenuate allergic airway inflammation and airway remodeling in chronic asthma mice. Stem Cell Research & Therapy. 12(1). 156 indexed citations
7.
Ma, Yongbin, Wenzhe Zhang, Liyang Dong, et al.. (2020). Down‐regulation of long non‐coding RNA MEG3 promotes Schwann cell proliferation and migration and repairs sciatic nerve injury in rats. Journal of Cellular and Molecular Medicine. 24(13). 7460–7469. 13 indexed citations
8.
Xu, Jing, Tao Yu, Enrica Pietronigro, et al.. (2020). Peli1 impairs microglial Aβ phagocytosis through promoting C/EBPβ degradation. PLoS Biology. 18(10). e3000837–e3000837. 27 indexed citations
9.
Zhang, Xingli, Yan Wang, Jia Yuan, et al.. (2018). Macrophage/microglial Ezh2 facilitates autoimmune inflammation through inhibition of Socs3. The Journal of Experimental Medicine. 215(5). 1365–1382. 144 indexed citations
10.
Zhou, Yuepeng, Ling Zhou, Rui Ling, et al.. (2017). Novel transduction of nutrient stress to Notch pathway by RasGRP3 promotes malignant aggressiveness in human esophageal squamous cell carcinoma. Oncology Reports. 38(5). 2975–2984. 3 indexed citations
11.
Wang, Xuefeng, Jun Wang, Yong Liang, et al.. (2016). Schistosoma japonicum HSP60-derived peptide SJMHE1 suppresses delayed-type hypersensitivity in a murine model. Parasites & Vectors. 9(1). 147–147. 16 indexed citations
12.
Chen, Deyu, Wei Li, Yuting Su, et al.. (2015). Interleukin-23 promotes the epithelial-mesenchymal transition of oesophageal carcinoma cells via the Wnt/β-catenin pathway. Scientific Reports. 5(1). 8604–8604. 37 indexed citations
13.
Liu, Hongli, Tingting Zheng, Chengcheng Xu, et al.. (2015). γδ Τ cells enhance B cells for antibody production in Hashimoto’s thyroiditis, and retinoic acid induces apoptosis of the γδ Τ cell. Endocrine. 51(1). 113–122. 15 indexed citations
14.
Wu, Jing, Chaoming Mao, Jianmin Ren, et al.. (2013). A Lectin-EGF antibody promotes regulatory T cells and attenuates nephrotoxic nephritis via DC-SIGN on dendritic cells. Journal of Translational Medicine. 11(1). 103–103. 8 indexed citations
15.
Yuan, Guoyue, Jue Jia, Libin Zhou, et al.. (2012). Effects of C-reactive protein on adipokines genes expression in 3T3-L1 adipocytes. Biochemical and Biophysical Research Communications. 424(3). 462–468. 16 indexed citations
16.
Chen, Deyu, Qin Hu, Chaoming Mao, et al.. (2011). Increased IL-17-producing CD4+ T cells in patients with esophageal cancer. Cellular Immunology. 272(2). 166–174. 39 indexed citations
17.
Wang, Shengjun, Ye Shi, Min Yang, et al.. (2011). Glucocorticoid-Induced Tumor Necrosis Factor Receptor Family-Related Protein Exacerbates Collagen-Induced Arthritis by Enhancing the Expansion of Th17 Cells. American Journal Of Pathology. 180(3). 1059–1067. 38 indexed citations
18.
Ma, Jie, Shengjun Wang, Bin Ma, et al.. (2010). Dendritic cells engineered to express GITRL enhance therapeutic immunity in murine Lewis lung carcinoma. Cancer Letters. 301(2). 142–150. 10 indexed citations
19.
Xiao, Yichuan, Jingwei Xu, Chaoming Mao, et al.. (2009). 18β-Glycyrrhetinic Acid Ameliorates Acute Propionibacterium acnes-induced Liver Injury through Inhibition of Macrophage Inflammatory Protein-1α. Journal of Biological Chemistry. 285(2). 1128–1137. 55 indexed citations
20.
Wang, Shu, Chaoming Mao, Qiaoli Gu, et al.. (2009). Increased TTS abrogates IDO-mediated CD4+ T cells suppression in patients with Graves’ disease. Endocrine. 36(1). 119–125. 16 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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