Jue Jiang

2.1k total citations
73 papers, 1.6k citations indexed

About

Jue Jiang is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jue Jiang has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 19 papers in Surgery and 18 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jue Jiang's work include Thyroid Cancer Diagnosis and Treatment (14 papers), Anesthesia and Neurotoxicity Research (9 papers) and Cancer-related molecular mechanisms research (8 papers). Jue Jiang is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (14 papers), Anesthesia and Neurotoxicity Research (9 papers) and Cancer-related molecular mechanisms research (8 papers). Jue Jiang collaborates with scholars based in China, United States and Japan. Jue Jiang's co-authors include Hudan Liu, Qi Zhou, Guoliang Qing, Hong Jiang, Ming Yue, Lei Sun, Peng Gao, Jia Yan, Wenqi Ma and Shanshan Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Biomaterials.

In The Last Decade

Jue Jiang

71 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
Jue Jiang China 21 808 387 196 194 183 73 1.6k
Fabrice Prunier France 30 1.1k 1.4× 232 0.6× 466 2.4× 119 0.6× 101 0.6× 101 2.9k
Xiangru Lu Canada 30 1.2k 1.5× 205 0.5× 380 1.9× 101 0.5× 231 1.3× 70 2.5k
Tamara Mirzapoiazova United States 27 1.1k 1.4× 258 0.7× 264 1.3× 343 1.8× 331 1.8× 55 2.3k
Ilaria Russo Italy 17 631 0.8× 120 0.3× 241 1.2× 125 0.6× 99 0.5× 31 1.5k
Jun Huang China 22 649 0.8× 217 0.6× 148 0.8× 69 0.4× 101 0.6× 83 1.5k
Hua Zheng China 21 950 1.2× 299 0.8× 306 1.6× 536 2.8× 324 1.8× 71 2.1k
Boél De Paepe Belgium 27 1.3k 1.6× 141 0.4× 281 1.4× 110 0.6× 123 0.7× 110 2.5k
Brian S. Cain United States 23 555 0.7× 124 0.3× 307 1.6× 84 0.4× 83 0.5× 38 1.9k
Mustafa Zakkar United Kingdom 21 759 0.9× 252 0.7× 409 2.1× 100 0.5× 191 1.0× 44 1.8k
Egbert Bisping Austria 18 1.3k 1.6× 486 1.3× 194 1.0× 78 0.4× 134 0.7× 31 2.2k

Countries citing papers authored by Jue Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jue Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jue Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jue Jiang. A scholar is included among the top collaborators of Jue 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 Jue Jiang. Jue 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.
Xie, Ting, Peipei Sun, Hao Huang, et al.. (2025). PAK4 phosphorylates and stabilizes MYC to promote acute myeloid leukemia. PubMed. 4(5). 100274–100274. 1 indexed citations
2.
Wang, Juan, et al.. (2025). Cross-Template-Based Hypergraph Transformer. 1–5. 1 indexed citations
3.
Shi, Ameng, Sinan Xiao, Ying Wang, et al.. (2024). Metabolic abnormalities, liver enzymes increased risk of gallstones: a cross-sectional study and multivariate mendelian randomization analysis. Internal and Emergency Medicine. 20(2). 501–508. 3 indexed citations
4.
Wang, Dan, Wenqi Ma, Yufeng Wang, et al.. (2024). A versatile nanoplatform carrying cascade Pt nanozymes remodeling tumor microenvironment for amplified sonodynamic/chemo therapy of thyroid cancer. Biomaterials. 313. 122778–122778. 13 indexed citations
5.
Zhang, Lin, Lirong Wang, Xin He, et al.. (2024). An Effective Ultrasound Features-Based Diagnostic Model via Principal Component Analysis Facilitated Differentiating Subtypes of Mucinous Breast Cancer From Fibroadenomas. Clinical Breast Cancer. 24(7). e583–e592.e3. 2 indexed citations
6.
7.
Zhang, Hong, Qi Zhou, & Jue Jiang. (2022). Circ_0027446 induces CLDN1 expression to promote papillary thyroid cancer cell malignancy by binding to miR-129–5p. Pathology - Research and Practice. 238. 154095–154095. 6 indexed citations
8.
Wang, Juan, Jue Jiang, Dong Zhang, et al.. (2021). An integrated AI model to improve diagnostic accuracy of ultrasound and output known risk features in suspicious thyroid nodules. European Radiology. 32(3). 2120–2129. 34 indexed citations
9.
Tu, Rongfu, Mengjie Yang, Liyuan Wang, et al.. (2021). USP29 coordinates MYC and HIF1α stabilization to promote tumor metabolism and progression. Oncogene. 40(46). 6417–6429. 28 indexed citations
10.
Jiang, Jue, Xiaoyun Yang, Xin He, et al.. (2019). MicroRNA-449b-5p suppresses the growth and invasion of breast cancer cells via inhibiting CREPT-mediated Wnt/β-catenin signaling. Chemico-Biological Interactions. 302. 74–82. 43 indexed citations
11.
Jiang, Jue, Xiang Lv, Bing Liang, & Hong Jiang. (2017). Circulating TNF-α levels increased and correlated negatively with IGF-I in postoperative cognitive dysfunction. Neurological Sciences. 38(8). 1391–1392. 10 indexed citations
12.
Yu, Shanshan, et al.. (2017). Dysfunction of CD24+CD38+ B cells in patients with Hashimoto’s thyroiditis is associated with a lack of interleukin 10. The International Journal of Biochemistry & Cell Biology. 90. 114–120. 20 indexed citations
13.
Ma, Yu, Jue Jiang, Yan Zhang, et al.. (2017). IGFBP-rP1 acts as a potential tumor suppressor via the suppression of ERK signaling pathway in endometrial cancer cells. Molecular Medicine Reports. 16(2). 1445–1450. 6 indexed citations
14.
Zhou, Qi, et al.. (2016). Correlation analysis of different calcified thyroid nodules with age and gender by contrast-enhanced ultrasound. Zhonghua chaosheng yingxiangxue zazhi. 25(4). 313–317. 1 indexed citations
15.
Lu, Yi, Yan Huang, Jue Jiang, et al.. (2016). Neuronal apoptosis may not contribute to the long-term cognitive dysfunction induced by a brief exposure to 2% sevoflurane in developing rats. Biomedicine & Pharmacotherapy. 78. 322–328. 38 indexed citations
16.
Qi, Ye, Jue Jiang, Guanqun Zhan, et al.. (2016). Small molecule activation of NOTCH signaling inhibits acute myeloid leukemia. Scientific Reports. 6(1). 26510–26510. 29 indexed citations
17.
Jiang, Jue, et al.. (2015). Diagnostic value of contrast‐enhanced ultrasound in thyroid nodules with calcification. The Kaohsiung Journal of Medical Sciences. 31(3). 138–144. 36 indexed citations
18.
Zhang, Lei, Ying Zhang, Rong Hu, et al.. (2015). Isoflurane Inhibits Embryonic Stem Cell Self-Renewal and Neural Differentiation Through miR-9/E-cadherin Signaling. Stem Cells and Development. 24(16). 1912–1922. 13 indexed citations
19.
Jiang, Jue & Hong Jiang. (2015). Effect of the inhaled anesthetics isoflurane, sevoflurane and desflurane on the neuropathogenesis of Alzheimer’s disease (Review). Molecular Medicine Reports. 12(1). 3–12. 65 indexed citations
20.
Yang, Yaqiong, Jia Yan, Yan Huang, et al.. (2015). The cancer pain related factors affected by celecoxib together with cetuximab in head and neck squamous cell carcinoma. Biomedicine & Pharmacotherapy. 70. 181–189. 13 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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