Ming Zhao

12.7k total citations
240 papers, 8.8k citations indexed

About

Ming Zhao is a scholar working on Immunology, Molecular Biology and Rheumatology. According to data from OpenAlex, Ming Zhao has authored 240 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Immunology, 91 papers in Molecular Biology and 70 papers in Rheumatology. Recurrent topics in Ming Zhao's work include Immune Cell Function and Interaction (68 papers), T-cell and B-cell Immunology (65 papers) and Systemic Lupus Erythematosus Research (64 papers). Ming Zhao is often cited by papers focused on Immune Cell Function and Interaction (68 papers), T-cell and B-cell Immunology (65 papers) and Systemic Lupus Erythematosus Research (64 papers). Ming Zhao collaborates with scholars based in China, United States and Hong Kong. Ming Zhao's co-authors include Qianjin Lu, Haijing Wu, Qianjin Lu, Heng Yin, Hai Long, Gongping Liang, Yu Liu, Amr H. Sawalha, Sha Zhao and Yunsheng Liang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Ming Zhao

238 papers receiving 8.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Zhao China 55 3.8k 3.7k 1.8k 1.7k 914 240 8.8k
Qianjin Lu China 51 3.7k 1.0× 3.1k 0.8× 2.0k 1.1× 1.3k 0.7× 873 1.0× 172 8.1k
Qianjin Lu China 46 3.1k 0.8× 2.6k 0.7× 1.4k 0.8× 1.1k 0.6× 702 0.8× 160 6.9k
Westley H. Reeves United States 57 5.1k 1.3× 3.4k 0.9× 3.5k 1.9× 1.0k 0.6× 1.2k 1.3× 209 10.3k
Ursula Fearon Ireland 54 3.0k 0.8× 2.7k 0.7× 3.8k 2.1× 1.0k 0.6× 1.3k 1.4× 166 8.4k
Ian P. Wicks Australia 55 4.4k 1.2× 2.9k 0.8× 2.0k 1.1× 623 0.4× 1.3k 1.4× 175 9.2k
Atsushi Kawakami Japan 47 3.0k 0.8× 2.9k 0.8× 3.4k 1.9× 646 0.4× 1.4k 1.5× 663 10.2k
Ho‐Youn Kim South Korea 54 4.0k 1.1× 2.6k 0.7× 3.8k 2.1× 553 0.3× 1.4k 1.6× 293 11.0k
Richard J. Riese United States 36 2.2k 0.6× 1.6k 0.4× 2.0k 1.1× 1.1k 0.6× 1.1k 1.2× 76 7.2k
Kiyoshi Migita Japan 44 2.3k 0.6× 2.4k 0.7× 1.5k 0.8× 592 0.3× 996 1.1× 380 7.1k
Harris Perlman United States 50 5.2k 1.4× 5.3k 1.4× 991 0.5× 1.5k 0.9× 1.5k 1.6× 140 11.9k

Countries citing papers authored by Ming Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhao. A scholar is included among the top collaborators of Ming Zhao 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 Ming Zhao. Ming Zhao 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.
Zhao, Hongjun, Qian Wang, Jiali Wu, et al.. (2024). Aberrant H3K4me3 modification of immune response genes in CD4+ T cells of patients with systemic lupus erythematosus. International Immunopharmacology. 130. 111748–111748. 1 indexed citations
2.
Hu, Zhi, Meiling Zheng, Wenhui Zhou, et al.. (2024). Single-cell sequencing reveals distinct immune cell features in cutaneous lesions of pemphigus vulgaris and bullous pemphigoid. Clinical Immunology. 263. 110219–110219. 3 indexed citations
3.
Wang, Qiaolin, et al.. (2024). Gut-tropic T cells and extra-intestinal autoimmune diseases. Autoimmunity Reviews. 23(7-8). 103544–103544. 5 indexed citations
4.
Chen, Xiaoyun, Lianlian Ouyang, Sujie Jia, & Ming Zhao. (2024). Oxysterols contribute to immune cell recruitment in SLE skin lesions. Arthritis Research & Therapy. 26(1). 181–181. 2 indexed citations
5.
Liu, Mei, Yong Zeng, Hui Yang, et al.. (2024). Immunostimulatory effects of Toll‐like receptor ligands as adjuvants in establishing a novel mouse model for pemphigus vulgaris. Clinical and Translational Medicine. 14(7). e1765–e1765. 1 indexed citations
6.
Hu, Linghan, Yihe Liu, Di Hua, et al.. (2024). TRPV3-Activated PARP1/AIFM1/MIF Axis through Oxidative Stress Contributes to Atopic Dermatitis. Journal of Investigative Dermatology. 144(12). 2695–2705.e8. 4 indexed citations
7.
Li, Liming, et al.. (2024). Blockade of OX40/OX40L signaling using anti‐OX40L alleviates murine lupus nephritis. European Journal of Immunology. 54(8). e2350915–e2350915. 4 indexed citations
8.
Liu, Xiaomin, Mei Liu, Ming Zhao, et al.. (2023). Fecal microbiota transplantation for the management of autoimmune diseases: Potential mechanisms and challenges. Journal of Autoimmunity. 141. 103109–103109. 12 indexed citations
9.
Zhang, Bo, Wenhui Zhou, Cancan Huang, et al.. (2023). Effects of fecal microbiota transplant on DNA methylation in patients with systemic lupus erythematosus. Journal of Autoimmunity. 141. 103047–103047. 15 indexed citations
10.
Huang, Cancan, Meiling Zheng, Wenhui Zhou, et al.. (2023). Fecal microbiota transplantation in the treatment of systemic lupus erythematosus: What we learnt from the explorative clinical trial. Journal of Autoimmunity. 141. 103058–103058. 10 indexed citations
11.
Li, Shasha, Hui Liu, Weidong Liu, et al.. (2023). ESRG is critical to maintain the cell survival and self-renewal/pluripotency of hPSCs by collaborating with MCM2 to suppress p53 pathway. International Journal of Biological Sciences. 19(3). 916–935. 11 indexed citations
12.
Peng, Bo, Jia Wang, Ming Zhao, & Ruijin Wu. (2023). Abstract #1504468: Estrogen Attenuates Ferroptosis via Estrogen Receptor (ER) β/ERα/Lipocalin 2 Pathway in Endometriosis. Endocrine Practice. 29(5). S132–S132. 1 indexed citations
13.
Shen, Weiyun, Cong Luo, P. Hurtado, et al.. (2022). Up-regulation of proBDNF/p75 NTR signaling in antibody-secreting cells drives systemic lupus erythematosus. Science Advances. 8(3). eabj2797–eabj2797. 18 indexed citations
14.
Yang, Ming, Mei Yang, Xin Yue, et al.. (2021). Comprehensive Analysis of Epigenetic Modifications and Immune-Cell Infiltration In Tissues from Patients With Systemic Lupus Erythematosus. Epigenomics. 14(2). 81–100. 15 indexed citations
15.
Mishra, Shruti, Wei Liao, Yong Liu, et al.. (2020). TGF-β and Eomes control the homeostasis of CD8+ regulatory T cells. The Journal of Experimental Medicine. 218(1). 46 indexed citations
16.
Zhao, Ming, Baoyuan Zhou, Wei Ma, et al.. (2019). Theoretical and technical models of quantitative regulation in food crop production system. ACTA AGRONOMICA SINICA. 45(4). 485–498. 1 indexed citations
17.
Gao, Xiaofei, et al.. (2018). [Effect of JQ1 on expression of autoimmune-related genes in CD4+T cells of systemic lupus erythematosus].. PubMed. 43(7). 704–710. 1 indexed citations
18.
19.
Liang, Yunsheng, Sha Zhao, Gongping Liang, Ming Zhao, & Qianjin Lu. (2013). [DNA methylation status of miR-126 and its host gene EGFL7 in CD4+ T cells from patients with systemic lupus erythematosus].. PubMed. 38(8). 793–7. 6 indexed citations
20.
Zhang, Yuan, Baoguo Li, Yan Chen, et al.. (2007). Monte Carlo simulation of solar radiation in maize canopies and its visualisation. New Zealand Journal of Agricultural Research. 50(5). 553–558. 1 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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