Wei Jing

1.1k total citations
32 papers, 854 citations indexed

About

Wei Jing is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Wei Jing has authored 32 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Wei Jing's work include MicroRNA in disease regulation (5 papers), Autophagy in Disease and Therapy (5 papers) and Cancer Cells and Metastasis (4 papers). Wei Jing is often cited by papers focused on MicroRNA in disease regulation (5 papers), Autophagy in Disease and Therapy (5 papers) and Cancer Cells and Metastasis (4 papers). Wei Jing collaborates with scholars based in China and United Kingdom. Wei Jing's co-authors include Xuyu Zhou, Jian Zhao, Xiaoyu Fan, Gang Jin, Chenghao Shao, Rui Chen, Fan Yin, Yingqi Zhou, Huafeng Wei and Minhui Zhu and has published in prestigious journals such as Nature Communications, PLoS ONE and Biomaterials.

In The Last Decade

Wei Jing

27 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Jing China 18 403 235 166 123 97 32 854
Xiaohong Lü China 23 640 1.6× 231 1.0× 201 1.2× 71 0.6× 99 1.0× 48 1.2k
Dimas Carolina Belisario Italy 16 401 1.0× 247 1.1× 252 1.5× 56 0.5× 95 1.0× 19 868
Ning Ding China 20 403 1.0× 216 0.9× 111 0.7× 58 0.5× 119 1.2× 52 925
Joshua J. Souchek United States 16 462 1.1× 245 1.0× 326 2.0× 54 0.4× 99 1.0× 22 1.0k
Yue Zhou China 20 477 1.2× 236 1.0× 83 0.5× 80 0.7× 72 0.7× 60 1.0k
Tao Ma China 11 434 1.1× 197 0.8× 206 1.2× 48 0.4× 85 0.9× 46 787
Misao Yoneda Japan 15 238 0.6× 119 0.5× 216 1.3× 69 0.6× 105 1.1× 41 701
Wancheng Chen China 13 574 1.4× 308 1.3× 90 0.5× 45 0.4× 85 0.9× 20 886

Countries citing papers authored by Wei Jing

Since Specialization
Citations

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

Fields of papers citing papers by Wei Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Jing. A scholar is included among the top collaborators of Wei Jing 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 Wei Jing. Wei Jing 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.
Li, Zhuo, et al.. (2025). Bridging innate and adaptive tumor immunity: cGAS–STING pathway activation to potentiate immune checkpoint blockade. Journal of Experimental & Clinical Cancer Research. 44(1). 303–303.
2.
Jing, Wei, et al.. (2025). The dual role of autophagy in cancer stem cells: implications for tumor progression and therapy resistance. Journal of Translational Medicine. 23(1). 583–583. 4 indexed citations
3.
Li, Meixin, Sheng Hu, Yuan Meng, et al.. (2024). Tumor-derived miR-9-5p-loaded EVs regulate cholesterol homeostasis to promote breast cancer liver metastasis in mice. Nature Communications. 15(1). 10539–10539. 16 indexed citations
4.
Gao, Jing, Gang Yu, Yan Yan, et al.. (2024). ITIH1 suppresses carcinogenesis in renal cell carcinoma through regulation of the NF‑κB signaling pathway. Experimental and Therapeutic Medicine. 28(3). 368–368.
5.
6.
Li, Zhen, et al.. (2022). Extremely large strain response under low driving electric fields in lead-based textured piezoelectric ceramics. Ceramics International. 49(2). 2806–2810. 9 indexed citations
7.
Tang, Qiqi, Beibei Liang, Lisha Zhang, et al.. (2022). Enhanced CHOLESTEROL biosynthesis promotes breast cancer metastasis via modulating CCDC25 expression and neutrophil extracellular traps formation. Scientific Reports. 12(1). 17350–17350. 25 indexed citations
8.
Han, Yujie, Dan Zhong, Cui Ma, et al.. (2021). Zebrafish mafbb Mutants Display Osteoclast Over-Activation and Bone Deformity Resembling Osteolysis in MCTO Patients. Biomolecules. 11(3). 480–480. 9 indexed citations
9.
Liu, Jun, Meng Li, Yong Huang, et al.. (2021). A Nanogel with Effective Blood-Brain Barrier Penetration Ability through Passive and Active Dual-Targeting Function. Journal of Nanomaterials. 2021. 1–11. 18 indexed citations
10.
Yin, Fan, Yuan Fang, Yaojun Peng, et al.. (2017). TIP30 regulates lipid metabolism in hepatocellular carcinoma by regulating SREBP1 through the Akt/mTOR signaling pathway. Oncogenesis. 6(6). e347–e347. 41 indexed citations
11.
Jing, Wei, Rui Wang, Xueling He, et al.. (2017). Clickable and imageable multiblock polymer micelles with magnetically guided and PEG-switched targeting and release property for precise tumor theranosis. Biomaterials. 145. 138–153. 70 indexed citations
12.
Fan, Xiaoyu, Min Tang, Rui Chen, et al.. (2016). Osteopontin induces autophagy to promote chemo-resistance in human hepatocellular carcinoma cells. Cancer Letters. 383(2). 171–182. 76 indexed citations
13.
Guo, QingFa, Lei Kuang, Hui Cao, Weizhong Li, & Wei Jing. (2015). Self-assembled mPEG-PCL- g -PEI micelles for multifunctional nanoprobes of doxorubicin delivery and magnetic resonance imaging and optical imaging. Colloids and Surfaces B Biointerfaces. 136. 687–693. 10 indexed citations
14.
Song, Bin, Qi Bian, Gang Li, et al.. (2015). Ulinastatin Reduces the Resistance of Liver Cancer Cells to Epirubicin by Inhibiting Autophagy. PLoS ONE. 10(3). e0120694–e0120694. 21 indexed citations
15.
Fan, Xiaoyu, Chunyan He, Wei Jing, et al.. (2014). Intracellular Osteopontin Inhibits Toll-like Receptor Signaling and Impedes Liver Carcinogenesis. Cancer Research. 75(1). 86–97. 39 indexed citations
16.
Zhu, Minhui, Fan Yin, Xiaoyu Fan, et al.. (2014). Decreased TIP30 promotes Snail-mediated epithelial–mesenchymal transition and tumor-initiating properties in hepatocellular carcinoma. Oncogene. 34(11). 1420–1431. 32 indexed citations
17.
Zhu, Min, Fan Yin, Lihua Yang, et al.. (2014). Contribution of TIP30 to chemoresistance in laryngeal carcinoma. Cell Death and Disease. 5(10). e1468–e1468. 17 indexed citations
18.
Cao, Lei, Li Zhang, Wei Jing, et al.. (2014). Enhanced myeloid differentiation factor 88 promotes tumor metastasis via induction of epithelial–mesenchymal transition in human hepatocellular carcinoma. Cell Death and Disease. 5(3). e1103–e1103. 23 indexed citations
19.
Jing, Wei, et al.. (2012). The beta-lactam antibiotic, ceftriaxone, provides neuroprotective potential via anti-excitotoxicity and anti-inflammation response in a rat model of traumatic brain injury. The Journal of Trauma: Injury, Infection, and Critical Care. 73(3). 654–660. 77 indexed citations
20.
Jing, Wei, Gang Jin, Xuyu Zhou, et al.. (2011). Diabetes mellitus and increased risk of cholangiocarcinoma. European Journal of Cancer Prevention. 21(1). 24–31. 72 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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