Jun Jiang

986 total citations
58 papers, 709 citations indexed

About

Jun Jiang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Jun Jiang has authored 58 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Cancer Research and 10 papers in Surgery. Recurrent topics in Jun Jiang's work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (6 papers). Jun Jiang is often cited by papers focused on MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (6 papers). Jun Jiang collaborates with scholars based in China, United States and Thailand. Jun Jiang's co-authors include Peter H. Lin, Qizhi Yao, Changyi Chen, Xinwen Wang, Rui Jiang, Zong‐Lai Jiang, Bao‐Rong Shen, Shu Chien, Yue Han and Ying‐Xin Qi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and ACS Nano.

In The Last Decade

Jun Jiang

51 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Jiang China 14 332 166 114 91 91 58 709
Md Sanaullah Sajib United States 12 355 1.1× 150 0.9× 99 0.9× 59 0.6× 54 0.6× 22 716
Yulia Kiyan Germany 19 321 1.0× 229 1.4× 145 1.3× 115 1.3× 71 0.8× 31 923
Xinghua Zhang China 15 397 1.2× 196 1.2× 135 1.2× 81 0.9× 68 0.7× 37 890
Mingming Yang China 17 438 1.3× 180 1.1× 136 1.2× 137 1.5× 91 1.0× 80 966
Liangliang Jia China 14 342 1.0× 89 0.5× 119 1.0× 72 0.8× 90 1.0× 31 671
Anning Yang China 18 415 1.3× 185 1.1× 130 1.1× 77 0.8× 66 0.7× 41 741
Hongqiang Li China 17 466 1.4× 223 1.3× 134 1.2× 73 0.8× 100 1.1× 52 872
Hui Shi China 18 296 0.9× 83 0.5× 131 1.1× 148 1.6× 71 0.8× 48 798
Jin Zhou China 19 468 1.4× 183 1.1× 93 0.8× 58 0.6× 123 1.4× 47 855
Yan Jiang China 16 356 1.1× 196 1.2× 58 0.5× 179 2.0× 94 1.0× 58 725

Countries citing papers authored by Jun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Jiang. A scholar is included among the top collaborators of Jun Jiang 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 Jun Jiang. Jun Jiang 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.
Wan, Qing, et al.. (2025). Irisin-Treg crosstalk: unveiling a mechanism in neural cognitive regulation. Annals of Medicine. 57(1). 2594281–2594281.
3.
Wang, Xueqin, Xiaodong Chen, Huiping Ji, et al.. (2025). Dual-Responsive Methotrexate-Human Serum Albumin Complex-Encapsulated Liposomes for Targeted and Enhanced Atherosclerosis Therapy. International Journal of Nanomedicine. Volume 20. 2305–2322. 2 indexed citations
4.
Jiang, Jun, et al.. (2025). Icariin improves erectile function in spontaneously hypertensive rats by downregulating GRK2 in penile cavernous tissue. The Journal of Sexual Medicine. 22(3). 387–396. 1 indexed citations
5.
Liu, Yan, Meiling Zhou, Xueqin Wang, et al.. (2024). Reprogramming monocytes into M2 macrophages as living drug depots to enhance treatment of myocardial ischemia-reperfusion injury. Journal of Controlled Release. 374. 639–652. 13 indexed citations
6.
Fan, Chao, Zhen Liu, Jili Wu, et al.. (2024). Alendronate-functionalized polymeric micelles target icaritin to bone for mitigating osteoporosis in a rat model. Journal of Controlled Release. 376. 37–51. 9 indexed citations
7.
Xu, Jiaqi, et al.. (2024). The Application Potential of the Regulation of Tregs Function by Irisin in the Prevention and Treatment of Immune-Related Diseases. Drug Design Development and Therapy. Volume 18. 3005–3023. 4 indexed citations
8.
Li, Qiuhong, Yangyi Li, Ligang Chen, et al.. (2024). Tetraspanins in digestive‑system cancers: Expression, function and therapeutic potential (Review). Molecular Medicine Reports. 30(5).
9.
Li, Sha, et al.. (2024). High-dose exposure to butylparaben impairs thyroid ultrastructure and function in rats. Scientific Reports. 14(1). 4550–4550. 2 indexed citations
10.
Xu, Jiaying, et al.. (2024). Transfer RNA-derived small RNA tRF-Glu-CTC attenuates neointimal formation via inhibition of fibromodulin. Cellular & Molecular Biology Letters. 29(1). 2–2. 6 indexed citations
11.
Wang, Ting, et al.. (2024). Neutrophil percentage-to-albumin ratio is a potential marker of intravenous immunoglobulin resistance in Kawasaki disease. Scientific Reports. 14(1). 15232–15232. 5 indexed citations
12.
Zhao, Jian, et al.. (2024). Construction and validation of predictive models for intravenous immunoglobulin–resistant Kawasaki disease using an interpretable machine learning approach. Clinical and Experimental Pediatrics. 67(8). 405–414. 1 indexed citations
13.
Zhao, Hanqing & Jun Jiang. (2023). Chemokines and receptors in the development and progression of malignant tumors. Cytokine. 170. 156335–156335. 5 indexed citations
14.
Chen, Zhen‐Yu, Zhongbing Liu, Jun Wei, et al.. (2023). Long-Circulating Lipid Nanospheres Loaded with Flurbiprofen Axetil for Targeted Rheumatoid Arthritis Treatment. International Journal of Nanomedicine. Volume 18. 5159–5181. 4 indexed citations
15.
Wang, Wei, et al.. (2023). Selenium regulates T cell differentiation in experimental autoimmune thyroiditis in mice. International Immunopharmacology. 124(Pt B). 110993–110993. 11 indexed citations
16.
Zeng, Yang, et al.. (2023). Thyrotropin inhibits osteogenic differentiation of human periodontal ligament stem cells. Journal of Periodontal Research. 58(3). 668–678. 7 indexed citations
17.
Wang, Changguang, Jun Jiang, Jianming Wu, et al.. (2023). Nanocomposite hydrogel to deliver the immunomodulator lenalidomide and anti-inflammatory hesperidin locally to joints affected by rheumatoid arthritis. Chemical Engineering Journal. 476. 146270–146270. 9 indexed citations
18.
Xu, Qin, et al.. (2023). MiR-146b-5p regulates the scavenging effect of GPx-3 on peroxide in papillary thyroid cancer cells. Heliyon. 9(8). e18489–e18489. 5 indexed citations
19.
Rong, Zhihua, Qing‐Ping Yao, Tao Li, et al.. (2019). Suppression of circDcbld1 Alleviates Intimal Hyperplasia in Rat Carotid Artery by Targeting miR-145-3p/Neuropilin-1. Molecular Therapy — Nucleic Acids. 18. 999–1008. 20 indexed citations
20.
Hedayati, Nasim, Suman Annambhotla, Jun Jiang, et al.. (2008). Growth hormone–releasing peptide ghrelin inhibits homocysteine-induced endothelial dysfunction in porcine coronary arteries and human endothelial cells. Journal of Vascular Surgery. 49(1). 199–207. 36 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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