Zhijun Jiao

2.1k total citations
32 papers, 1.7k citations indexed

About

Zhijun Jiao is a scholar working on Immunology, Oncology and Cancer Research. According to data from OpenAlex, Zhijun Jiao has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 8 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Zhijun Jiao's work include Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (10 papers) and T-cell and B-cell Immunology (10 papers). Zhijun Jiao is often cited by papers focused on Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (10 papers) and T-cell and B-cell Immunology (10 papers). Zhijun Jiao collaborates with scholars based in China, Hong Kong and United States. Zhijun Jiao's co-authors include Shengjun Wang, Huaxi Xu, Liwei Lu, Wenhong Wang, Zhaoliang Su, Yan Chen, Ying Wan, Jie Tian, Shihe Shao and Mingquan Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Zhijun Jiao

32 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhijun Jiao China 22 934 399 364 234 183 32 1.7k
Daisuke Kurotaki Japan 27 1.1k 1.1× 725 1.8× 322 0.9× 190 0.8× 85 0.5× 51 1.9k
Fanlei Hu China 27 934 1.0× 503 1.3× 248 0.7× 417 1.8× 150 0.8× 81 1.8k
Wilfred W. Raymond United States 21 1.1k 1.2× 803 2.0× 394 1.1× 174 0.7× 263 1.4× 37 2.2k
Bindu Varghese United States 15 1.4k 1.5× 419 1.1× 675 1.9× 107 0.5× 282 1.5× 25 2.1k
Brian K. Bonish United States 18 1.0k 1.1× 684 1.7× 339 0.9× 111 0.5× 139 0.8× 21 2.1k
Hans P. Kiener Austria 29 700 0.7× 677 1.7× 336 0.9× 803 3.4× 207 1.1× 51 2.2k
Kaiyong Yang China 22 1.3k 1.4× 564 1.4× 305 0.8× 107 0.5× 135 0.7× 37 2.3k
Peter Ruminski United States 16 612 0.7× 595 1.5× 352 1.0× 121 0.5× 55 0.3× 42 2.0k
Greg Parsonage United Kingdom 14 613 0.7× 516 1.3× 404 1.1× 246 1.1× 57 0.3× 17 1.5k
Takami Matsuyama Japan 24 1.3k 1.4× 530 1.3× 439 1.2× 301 1.3× 86 0.5× 51 2.2k

Countries citing papers authored by Zhijun Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Zhijun Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijun Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhijun Jiao. A scholar is included among the top collaborators of Zhijun Jiao 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 Zhijun Jiao. Zhijun Jiao 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.
Wang, Wenhong, Yingying Zhang, Bo Zhu, et al.. (2015). Plasma microRNA expression profiles in Chinese patients with rheumatoid arthritis. Oncotarget. 6(40). 42557–42568. 43 indexed citations
2.
Lin, Xiang, Ke Rui, Jun Deng, et al.. (2014). Th17 cells play a critical role in the development of experimental Sjögren’s syndrome. Annals of the Rheumatic Diseases. 74(6). 1302–1310. 155 indexed citations
3.
Wang, Wenhong, Zhijun Jiao, Meihong Liu, et al.. (2014). Functional characterization of myeloid‐derived suppressor cell subpopulations during the development of experimental arthritis. European Journal of Immunology. 45(2). 464–473. 36 indexed citations
4.
Zhang, Yun, Heng Yang, Prince Amoah Barnie, et al.. (2014). The Expression of Toll-like Receptor 8 and Its Relationship with VEGF and Bcl-2 in Cervical Cancer. International Journal of Medical Sciences. 11(6). 608–613. 28 indexed citations
5.
Jiao, Zhijun, Wenhong Wang, Meihong Liu, et al.. (2014). Blockade of Notch Signaling Ameliorates Murine Collagen-Induced Arthritis via Suppressing Th1 and Th17 Cell Responses. American Journal Of Pathology. 184(4). 1085–1093. 45 indexed citations
6.
Xu, Min, Lei Li, Zhiqiang Liu, et al.. (2013). ABCB2 (TAP1) as the downstream target of SHH signaling enhances pancreatic ductal adenocarcinoma drug resistance. Cancer Letters. 333(2). 152–158. 40 indexed citations
7.
Jiao, Zhijun. (2012). Correlation between circulating myeloid-derived suppressor cells and Th17 cells in esophageal cancer. World Journal of Gastroenterology. 18(38). 5454–5454. 25 indexed citations
8.
Yang, Min, Jun Deng, Yang Liu, et al.. (2012). IL-10–Producing Regulatory B10 Cells Ameliorate Collagen-Induced Arthritis via Suppressing Th17 Cell Generation. American Journal Of Pathology. 180(6). 2375–2385. 136 indexed citations
9.
Jiao, Zhijun, Wenhong Wang, Jie Ma, et al.. (2011). Notch Signaling Mediates TNF-α-Induced IL-6 Production in Cultured Fibroblast-Like Synoviocytes from Rheumatoid Arthritis. SHILAP Revista de lepidopterología. 2012. 1–6. 55 indexed citations
10.
Su, Zhaoliang, Caixia Sun, Chenglin Zhou, et al.. (2011). HMGB1 blockade attenuates experimental autoimmune myocarditis and suppresses Th17‐cell expansion. European Journal of Immunology. 41(12). 3586–3595. 68 indexed citations
11.
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
12.
Wang, Wenhong, Shihe Shao, Zhijun Jiao, et al.. (2011). The Th17/Treg imbalance and cytokine environment in peripheral blood of patients with rheumatoid arthritis. Rheumatology International. 32(4). 887–893. 193 indexed citations
13.
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
14.
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
15.
Wang, Baolong, Zhijun Jiao, Xiaoyi Shao, et al.. (2010). Phenotypic Alterations of Dendritic Cells Are Involved in Suppressive Activity of Trichosanthin-Induced CD8+CD28− Regulatory T Cells. The Journal of Immunology. 185(1). 79–88. 13 indexed citations
16.
Zhou, Xiaorong, Yun Zhou, Qing Ding, et al.. (2009). High level expression of B7H1 molecules by keratinocytes suppresses xeno- and allo-reactions by inducing type I regulatory T cells. Transplant Immunology. 21(4). 192–197. 11 indexed citations
17.
Zhou, Xiaorong, et al.. (2007). Up-regulation of IL-10 expression in dendritic cells is involved in Trichosanthin-induced immunosuppression. Immunology Letters. 110(1). 74–81. 17 indexed citations
18.
19.
Ding, Qing, Baolong Wang, Yun Zhou, et al.. (2006). B7H1-Ig Fusion Protein Activates the CD4+ IFN-γ Receptor+ Type 1 T Regulatory Subset through IFN-γ-Secreting Th1 Cells. The Journal of Immunology. 177(6). 3606–3614. 31 indexed citations
20.
Zhou, Hong, Zhijun Jiao, Jian Hong, et al.. (2006). Immune suppression via IL-4/IL-10-secreting T cells: A nontoxic property of anti-HIV agent Trichosanthin. Clinical Immunology. 122(3). 312–322. 15 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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