Jia Shi

1.6k total citations
42 papers, 1.2k citations indexed

About

Jia Shi is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Jia Shi has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 17 papers in Cancer Research and 5 papers in Cell Biology. Recurrent topics in Jia Shi's work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (7 papers) and Circular RNAs in diseases (6 papers). Jia Shi is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (7 papers) and Circular RNAs in diseases (6 papers). Jia Shi collaborates with scholars based in China, United States and Romania. Jia Shi's co-authors include Gang Xu, Fan He, Yi Yang, Anying Cheng, Jiachao Cao, Wei Guan, Stephen P. Sugrue, Bo Dong, Jun Dong and Suinuan Wang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biomaterials.

In The Last Decade

Jia Shi

40 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Shi China 20 849 450 113 99 94 42 1.2k
Min Cheng China 19 673 0.8× 423 0.9× 137 1.2× 87 0.9× 73 0.8× 57 1.1k
Jianyong Sun China 19 1.1k 1.3× 733 1.6× 105 0.9× 92 0.9× 107 1.1× 45 1.4k
Guo‐Rui Dou China 23 716 0.8× 256 0.6× 157 1.4× 185 1.9× 99 1.1× 50 1.3k
Geneviève Robitaille Canada 14 528 0.6× 360 0.8× 118 1.0× 103 1.0× 66 0.7× 17 1.1k
Jiayi Yao China 21 618 0.7× 346 0.8× 102 0.9× 55 0.6× 88 0.9× 58 1.1k
Guojun Zhao China 22 718 0.8× 352 0.8× 238 2.1× 102 1.0× 233 2.5× 48 1.1k
Karl X. Knaup Germany 18 528 0.6× 442 1.0× 145 1.3× 78 0.8× 67 0.7× 29 1.1k
Jue Zhang United States 13 707 0.8× 199 0.4× 129 1.1× 94 0.9× 112 1.2× 28 961

Countries citing papers authored by Jia Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jia Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Shi. A scholar is included among the top collaborators of Jia Shi 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 Jia Shi. Jia Shi 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, Chang, Y. T. Tan, Jia Shi, et al.. (2025). Improving tendon repair through spatiotemporal modulation of TGF-β1 expression using an ultrasound-responsive hydrogel carrying siRNA-loaded nanoparticles. Acta Biomaterialia. 201. 485–500. 1 indexed citations
2.
Shi, Jia, Fan He, & Xiaogang Du. (2024). Emerging role of IRE1α in vascular diseases. Journal of Cell Communication and Signaling. 18(4). e12056–e12056.
3.
Li, Qing, Jia Shi, Yi Yang, et al.. (2022). High-Phosphate-Stimulated Macrophage-Derived Exosomes Promote Vascular Calcification via let-7b-5p/TGFBR1 Axis in Chronic Kidney Disease. Cells. 12(1). 161–161. 28 indexed citations
4.
Shi, Jia, Gang Chen, Haoran Li, et al.. (2021). METTL3 Promotes the Resistance of Glioma to Temozolomide via Increasing MGMT and ANPG in a m6A Dependent Manner. Frontiers in Oncology. 11. 702983–702983. 34 indexed citations
5.
Li, Bo, Jingjing Ye, Ruxia Liu, et al.. (2021). Programmed cell death 5 improves skeletal muscle insulin resistance by inhibiting IRS-1 ubiquitination through stabilization of MDM2. Life Sciences. 285. 119918–119918. 4 indexed citations
6.
Han, Wei, Jia Shi, Jiachao Cao, Bo Dong, & Wei Guan. (2020). <p>Latest Advances of Long Non-Coding RNA SNHG5 in Human Cancers</p>. OncoTargets and Therapy. Volume 13. 6393–6403. 16 indexed citations
7.
Wang, Haiyang, Liping Tan, Liang Liu, et al.. (2020). MiR-146b-5p suppresses the malignancy of GSC/MSC fusion cells by targeting SMARCA5. Aging. 12(13). 13647–13667. 17 indexed citations
8.
Shi, Jia, et al.. (2019). Maternal occupational exposure to chemicals in the textile factory during pregnancy is associated with a higher risk of polydactyly in the offspring. The Journal of Maternal-Fetal & Neonatal Medicine. 33(23). 3935–3941. 3 indexed citations
9.
Zhang, Yue, Song Shen, Gui Zhao, et al.. (2019). In situ repurposing of dendritic cells with CRISPR/Cas9-based nanomedicine to induce transplant tolerance. Biomaterials. 217. 119302–119302. 77 indexed citations
10.
Huang, Junming, Ranyue Ren, Bao Yuan, et al.. (2018). Ulinastatin Inhibits Osteoclastogenesis and Suppresses Ovariectomy-Induced Bone Loss by Downregulating uPAR. Frontiers in Pharmacology. 9. 1016–1016. 11 indexed citations
11.
Qiao, Xue, Jia Shi, Jingjing Ye, et al.. (2017). PTPIP51 regulates mouse cardiac ischemia/reperfusion through mediating the mitochondria-SR junction. Scientific Reports. 7(1). 45379–45379. 50 indexed citations
12.
Shi, Jia, Xue Qiao, Jingjing Ye, et al.. (2016). Nogo-C regulates cardiomyocyte apoptosis during mouse myocardial infarction. Cell Death and Disease. 7(10). e2432–e2432. 28 indexed citations
13.
Shi, Jia & Hua Chen. (2014). The fluorescent tracer model of host bone marrow-oriented cells recruited by glioma stem/progenitor cells. Zhonghua shiyan waike zazhi. 31(11). 2611–2613. 1 indexed citations
14.
Shi, Jia, Zhenzhen Chen, Jing Li, et al.. (2014). FAM3A promotes vascular smooth muscle cell proliferation and migration and exacerbates neointima formation in rat artery after balloon injury. Journal of Molecular and Cellular Cardiology. 74. 173–182. 29 indexed citations
15.
Wu, Ping, et al.. (2014). miR-143: A Novel Regulator of MyoD Expression in Fast and Slow Muscles of Siniperca chuatsi. Current Molecular Medicine. 14(3). 370–375. 16 indexed citations
16.
Shi, Jia, Chunjiong Wang, Zhenzhen Chen, et al.. (2013). FAM3A is a target gene of peroxisome proliferator-activated receptor gamma. Biochimica et Biophysica Acta (BBA) - General Subjects. 1830(8). 4160–4170. 30 indexed citations
17.
Shi, Jia, et al.. (2007). Caffeine Regulates Alternative Splicing in a Subset of Cancer-Associated Genes: a Role for SC35. Molecular and Cellular Biology. 28(2). 883–895. 36 indexed citations
18.
Shi, Jia. (2006). Morphology of the apoptosis and cell differentiation during Dictyostelium discoideum development. Dongwu xuebao. 1 indexed citations
19.
Zimowska, Grażyna, Jia Shi, Moira R. Jackson, et al.. (2003). Pinin/DRS/memA Interacts with SRp75, SRm300 and SRrp130 in Corneal Epithelial Cells. Investigative Ophthalmology & Visual Science. 44(11). 4715–4715. 52 indexed citations
20.
Shi, Jia & Stephen P. Sugrue. (2000). Dissection of Protein Linkage between Keratins and Pinin, a Protein with Dual Location at Desmosome-Intermediate Filament Complex and in the Nucleus. Journal of Biological Chemistry. 275(20). 14910–14915. 28 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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