Yingzhao Liu

845 total citations
27 papers, 701 citations indexed

About

Yingzhao Liu is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Yingzhao Liu has authored 27 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 9 papers in Cancer Research and 8 papers in Molecular Biology. Recurrent topics in Yingzhao Liu's work include T-cell and B-cell Immunology (8 papers), Cancer-related molecular mechanisms research (7 papers) and Immune Cell Function and Interaction (5 papers). Yingzhao Liu is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Cancer-related molecular mechanisms research (7 papers) and Immune Cell Function and Interaction (5 papers). Yingzhao Liu collaborates with scholars based in China, Hong Kong and United States. Yingzhao Liu's co-authors include Shengjun Wang, Huaxi Xu, Xinyi Tang, Liwei Lu, Jie Tian, Jie Ma, Jianguo Chen, Huiyong Peng, Jia Tong and Chenlu Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Yingzhao Liu

25 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingzhao Liu China 13 348 203 188 82 80 27 701
Hongchu Bao China 19 389 1.1× 213 1.0× 154 0.8× 22 0.3× 19 0.2× 65 1.0k
Abbas Hawwari Saudi Arabia 19 636 1.8× 334 1.6× 64 0.3× 154 1.9× 61 0.8× 37 1.1k
Kunal P. Patel United States 12 190 0.5× 173 0.9× 23 0.1× 125 1.5× 39 0.5× 15 723
Nobumi Suzuki Japan 16 127 0.4× 303 1.5× 94 0.5× 216 2.6× 17 0.2× 49 806
Madhu Mati Goel India 17 194 0.6× 380 1.9× 206 1.1× 155 1.9× 20 0.3× 39 994
Graham F. Brady United States 13 305 0.9× 548 2.7× 41 0.2× 53 0.6× 56 0.7× 21 848
Mingqin Lu China 13 98 0.3× 195 1.0× 86 0.5× 71 0.9× 16 0.2× 35 528
Paramananda Saikia United States 15 245 0.7× 247 1.2× 82 0.4× 71 0.9× 66 0.8× 20 884
Ying-De Wang China 13 125 0.4× 201 1.0× 44 0.2× 71 0.9× 74 0.9× 32 570

Countries citing papers authored by Yingzhao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yingzhao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingzhao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingzhao Liu. A scholar is included among the top collaborators of Yingzhao Liu 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 Yingzhao Liu. Yingzhao Liu 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, Yingzhao, Zhichao Zhu, Qian Xu, et al.. (2025). Identification of BTK as an immune-related biomarker for Hashimoto’s thyroiditis by integrated bioinformatic analysis. BMC Immunology. 26(1). 11–11.
2.
Qian, Xu, et al.. (2025). Recent advances of trace elements in autoimmune thyroid disease. Frontiers in Immunology. 16. 1662521–1662521.
3.
Wang, Li, Jing Han, Yingzhao Liu, et al.. (2024). Comparison of Risk Factors Between Lean and Nonlean Metabolic Dysfunction-Associated Steatotic Liver Disease in Individuals With Type 2 Diabetes: A Multicenter Study. Endocrine Practice. 30(12). 1171–1179. 2 indexed citations
4.
Su, Xianghui, Xiaodong Wu, Bing Lu, et al.. (2024). Serum 25-hydroxy vitamin D level is associated with elastography-detected liver fibrosis in patients with type 2 diabetes mellitus in China. Frontiers in Endocrinology. 15. 1420088–1420088. 1 indexed citations
5.
Man, Changfeng, et al.. (2023). Factors impacting the benefits and pathogenicity of Th17 cells in the tumor microenvironment. Frontiers in Immunology. 14. 1224269–1224269. 12 indexed citations
6.
Lu, Chao, et al.. (2023). Radiomics features from whole thyroid gland tissue for prediction of cervical lymph node metastasis in the patients with papillary thyroid carcinoma. Journal of Cancer Research and Clinical Oncology. 149(14). 13005–13016. 8 indexed citations
7.
Liu, Yingzhao, et al.. (2022). MiR-29a-3p negatively regulates circulating Tfh memory cells in patients with Graves’ disease by targeting ICOS. Immunologic Research. 71(2). 173–184. 3 indexed citations
8.
Peng, Huiyong, et al.. (2021). The Roles of Exosomes in Immunoregulation and Autoimmune Thyroid Diseases. Frontiers in Immunology. 12. 757674–757674. 30 indexed citations
9.
Peng, Huiyong, Shuting Ren, Yingzhao Liu, et al.. (2020). Elevated Expression of the Long Noncoding RNA IFNG‐AS1 in the Peripheral Blood from Patients with Rheumatoid Arthritis. Journal of Immunology Research. 2020(1). 6401978–6401978. 25 indexed citations
10.
Feng, Yan, Yong Tang, Yingzhao Liu, et al.. (2020). PAX2 promotes epithelial ovarian cancer progression involving fatty acid metabolic reprogramming. International Journal of Oncology. 56(3). 697–708. 16 indexed citations
11.
Liu, Yingzhao, Si Xiong, Xuehua Wang, et al.. (2020). Circulating microRNA Expression Profiling Identifies miR-125a-5p Promoting T Helper 1 Cells Response in the Pathogenesis of Hashimoto's Thyroiditis. Frontiers in Immunology. 11. 1195–1195. 11 indexed citations
12.
Chen, Juan, Jie Tian, Xinyi Tang, et al.. (2015). MiR-346 regulates CD4+CXCR5+ T cells in the pathogenesis of Graves’ disease. Endocrine. 49(3). 752–760. 42 indexed citations
13.
Peng, Huiyong, Yingzhao Liu, Jie Tian, et al.. (2015). Decreased expression of microRNA-125a-3p upregulates interleukin-23 receptor in patients with Hashimoto’s thyroiditis. Immunologic Research. 62(2). 129–136. 31 indexed citations
14.
Liu, Yingzhao, Xinyi Tang, Jie Tian, et al.. (2014). Th17/Treg Cells Imbalance and GITRL Profile in Patients with Hashimoto’s Thyroiditis. International Journal of Molecular Sciences. 15(12). 21674–21686. 64 indexed citations
15.
16.
Chen, Jianguo, Jia Tong, Haibing Liu, et al.. (2012). Increased frequency of Th17 cells in the peripheral blood of children infected with enterovirus 71. Journal of Medical Virology. 84(5). 763–767. 26 indexed citations
17.
Zhu, Chenlu, Jie Ma, Yingzhao Liu, et al.. (2011). Increased Frequency of Follicular Helper T Cells in Patients with Autoimmune Thyroid Disease. The Journal of Clinical Endocrinology & Metabolism. 97(3). 943–950. 170 indexed citations
18.
19.
Chen, Jianguo, Zhaoliang Su, Yingzhao Liu, et al.. (2010). Herbaspirillum Species: A Potential Pathogenic Bacteria Isolated from Acute Lymphoblastic Leukemia Patient. Current Microbiology. 62(1). 331–333. 20 indexed citations
20.
Chen, Jianguo, Zhaoliang Su, Yingzhao Liu, et al.. (2009). Identification and characterization of class 1 integrons among Pseudomonas aeruginosa isolates from patients in Zhenjiang, China. International Journal of Infectious Diseases. 13(6). 717–721. 62 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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