Jiaming Ju

891 total citations
28 papers, 710 citations indexed

About

Jiaming Ju is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Jiaming Ju has authored 28 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Cancer Research. Recurrent topics in Jiaming Ju's work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (4 papers). Jiaming Ju is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (4 papers). Jiaming Ju collaborates with scholars based in China, Australia and Russia. Jiaming Ju's co-authors include Baofeng Yang, Chaoqian Xu, Yong Zhang, Yanjie Lu, Nannan Shen, Ning Du, Xin Liu, Xiaohong Chen, Yunlong Bai and Weijie Du and has published in prestigious journals such as Journal of Power Sources, Scientific Reports and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Jiaming Ju

27 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
Jiaming Ju China 15 416 261 119 77 64 28 710
Panpan Feng China 19 480 1.2× 153 0.6× 98 0.8× 69 0.9× 145 2.3× 52 876
Jiang Zou China 16 489 1.2× 145 0.6× 82 0.7× 94 1.2× 136 2.1× 31 843
Guiyou Liang China 15 302 0.7× 142 0.5× 48 0.4× 68 0.9× 55 0.9× 45 543
Jingbo Lu China 18 549 1.3× 425 1.6× 98 0.8× 109 1.4× 106 1.7× 37 974
Xiaoyu Ren China 16 384 0.9× 184 0.7× 92 0.8× 39 0.5× 72 1.1× 42 780
Lei Shen China 18 346 0.8× 235 0.9× 65 0.5× 54 0.7× 48 0.8× 36 690
Darukeshwara Joladarashi United States 12 373 0.9× 173 0.7× 108 0.9× 85 1.1× 55 0.9× 23 618
Wenxia Ma China 14 475 1.1× 109 0.4× 89 0.7× 57 0.7× 119 1.9× 41 729

Countries citing papers authored by Jiaming Ju

Since Specialization
Citations

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

Fields of papers citing papers by Jiaming Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaming Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaming Ju. A scholar is included among the top collaborators of Jiaming Ju 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 Jiaming Ju. Jiaming Ju 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.
Sun, Xi, Yahan Yu, Yujie Chen, et al.. (2024). Overexpressing of the GIPC1 protects against pathological cardiac remodelling. European Journal of Pharmacology. 971. 176488–176488. 2 indexed citations
2.
Zhang, Zhengwei, Xiaoning Chen, Yapeng Li, et al.. (2024). The resistance to anoikis, mediated by Spp1, and the evasion of immune surveillance facilitate the invasion and metastasis of hepatocellular carcinoma. APOPTOSIS. 29(9-10). 1564–1583. 7 indexed citations
3.
Wu, Han, Weitao Jiang, Ping Pang, et al.. (2024). m6A reader YTHDF1 promotes cardiac fibrosis by enhancing AXL translation. Frontiers of Medicine. 18(3). 499–515. 3 indexed citations
4.
Zhang, Feng, et al.. (2024). Innovative pharmacotherapy for hepatic metabolic and chronic inflammatory diseases in China. British Journal of Pharmacology. 182(20). 4741–4760. 4 indexed citations
5.
Ju, Jiaming, Yingjie Chen, Hongxia Zhang, et al.. (2024). Inhibition of hERG by ESEE suppresses the progression of colorectal cancer. Translational Oncology. 50. 102137–102137.
6.
7.
Pang, Ping, Wei Si, Han Wu, et al.. (2023). YTHDF2 Promotes Cardiac Ferroptosis via Degradation of SLC7A11 in Cardiac Ischemia–Reperfusion Injury. Antioxidants and Redox Signaling. 40(16-18). 889–905. 17 indexed citations
8.
Beylerli, Ozal, Jiaming Ju, Aferin Beilerli, et al.. (2023). The roles of long noncoding RNAs in atrial fibrillation. Non-coding RNA Research. 8(4). 542–549. 2 indexed citations
9.
Ren, Long, et al.. (2022). Ranolazine Inhibits Pyroptosis via Regulation of miR-135b in the Treatment of Diabetic Cardiac Fibrosis. Frontiers in Molecular Biosciences. 9. 806966–806966. 23 indexed citations
10.
Jiang, Yanan, Hongguang Wang, Yahan Yu, et al.. (2021). HIV Tat Protein Induces Myocardial Fibrosis Through TGF-β1-CTGF Signaling Cascade: A Potential Mechanism of HIV Infection-Related Cardiac Manifestations. Cardiovascular Toxicology. 21(12). 965–972. 9 indexed citations
11.
Zhuang, Yuting, Tingting Li, Hongwen Xiao, et al.. (2021). LncRNA-H19 Drives Cardiomyocyte Senescence by Targeting miR-19a/socs1/p53 Axis. Frontiers in Pharmacology. 12. 631835–631835. 28 indexed citations
12.
Bian, Yu, Ping Pang, Xin Li, et al.. (2021). CircHelz activates NLRP3 inflammasome to promote myocardial injury by sponging miR-133a-3p in mouse ischemic heart. Journal of Molecular and Cellular Cardiology. 158. 128–139. 30 indexed citations
13.
Zhang, Lu, Yining Wang, Jiaming Ju, et al.. (2020). Mzb1 protects against myocardial infarction injury in mice via modulating mitochondrial function and alleviating inflammation. Acta Pharmacologica Sinica. 42(5). 691–700. 24 indexed citations
14.
Bian, Yu, Xin Li, Jiaming Ju, et al.. (2019). Daming capsule, a hypolipidaemic drug, lowers blood lipids by activating the AMPK signalling pathway. Biomedicine & Pharmacotherapy. 117. 109176–109176. 19 indexed citations
15.
Tuguzbaeva, Gulnara, Er Yue, Xi Chen, et al.. (2019). PEP06 polypeptide 30 is a novel cluster-dissociating agent inhibiting v integrin/FAK/Src signaling in oral squamous cell carcinoma cells. Acta Pharmaceutica Sinica B. 9(6). 1163–1173. 28 indexed citations
16.
Zhou, Tong, Hui Che, Nannan Shen, et al.. (2016). Regulation of Insulin Resistance by Multiple MiRNAs via Targeting the GLUT4 Signalling Pathway. Cellular Physiology and Biochemistry. 38(5). 2063–2078. 85 indexed citations
17.
Zhang, Yong, Xianxian Wu, Yang Li, et al.. (2016). Endothelial to mesenchymal transition contributes to arsenic-trioxide-induced cardiac fibrosis. Scientific Reports. 6(1). 33787–33787. 47 indexed citations
18.
Zhou, Xin, Qi Zhang, Tianyang Zhao, et al.. (2014). Cisapride protects against cardiac hypertrophy via inhibiting the up-regulation of calcineurin and NFATc-3. European Journal of Pharmacology. 735. 202–210. 8 indexed citations
19.
Yuan, Ye, Weijie Du, Ying Wang, et al.. (2014). Suppression of AKT expression by mi R ‐153 produced anti‐tumor activity in lung cancer. International Journal of Cancer. 136(6). 1333–1340. 54 indexed citations
20.
Shen, Nannan, Xiaoguang Li, Tong Zhou, et al.. (2014). Shensong Yangxin Capsule prevents diabetic myocardial fibrosis by inhibiting TGF-β1/Smad signaling. Journal of Ethnopharmacology. 157. 161–170. 74 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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