Bao Jing

477 total citations
15 papers, 305 citations indexed

About

Bao Jing is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bao Jing has authored 15 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bao Jing's work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Bao Jing is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Bao Jing collaborates with scholars based in China and United States. Bao Jing's co-authors include Hongyang Yu, Tingting Zhang, Yao Zhang, Qingfeng Sun, Yuxian Bai, Chao Yuan, Chung‐Yi Li, Ye Yao, Haiyang Wang and Haocheng Li and has published in prestigious journals such as The Journal of Comparative Neurology, Life Sciences and BioMed Research International.

In The Last Decade

Bao Jing

13 papers receiving 304 citations

Peers

Bao Jing
Bao Jing
Citations per year, relative to Bao Jing Bao Jing (= 1×) peers Hailing Cheng

Countries citing papers authored by Bao Jing

Since Specialization
Citations

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

Fields of papers citing papers by Bao Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bao Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Bao Jing. A scholar is included among the top collaborators of Bao 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 Bao Jing. Bao Jing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Shao, Weili, Shuai Sun, Bao Jing, et al.. (2025). Development of All-Polymer Two-Way Shape Memory Micronano Fiber Fabric with Dual Stimuli-Responsive Capabilities. ACS Applied Polymer Materials. 7(16). 10836–10848.
2.
Jing, Bao, et al.. (2024). Current chemotherapy strategies for adults with IDH-wildtype glioblastoma. Frontiers in Oncology. 14. 1438905–1438905. 2 indexed citations
3.
Jing, Bao, et al.. (2023). Initial Treatment of IDH-Wildtype Glioblastoma in Adults Older Than 70 Years. Cureus. 15(10). e47602–e47602.
4.
Li, Ji, Yu Lin, Yan Yan, et al.. (2020). Syndecan 4 contributes to osteoclast differentiation induced by RANKL through enhancing autophagy. International Immunopharmacology. 91. 107275–107275. 13 indexed citations
5.
Zhang, Tingting, Bao Jing, Yuxian Bai, Yao Zhang, & Hongyang Yu. (2020). Circular RNA circTMEM45A Acts as the Sponge of MicroRNA-665 to Promote Hepatocellular Carcinoma Progression. Molecular Therapy — Nucleic Acids. 22. 285–297. 55 indexed citations
6.
Chen, Jun, et al.. (2020). Novel circular RNA 2960 contributes to secondary damage of spinal cord injury by sponging miRNA ‐124. The Journal of Comparative Neurology. 529(7). 1456–1464. 25 indexed citations
7.
Han, Zhiyang, Yinghui Guan, Lin Yu, et al.. (2019). MicroRNA-99a-5p alleviates atherosclerosis via regulating Homeobox A1. Life Sciences. 232. 116664–116664. 27 indexed citations
8.
Shen, Guanghui, Ye Yao, Qingfeng Sun, et al.. (2019). Downregulation of DLGAP1-Antisense RNA 1 Alleviates Vascular Endothelial Cell Injury Via Activation of the Phosphoinositide 3-kinase/Akt Pathway Results from an Acute Limb Ischemia Rat Model. European Journal of Vascular and Endovascular Surgery. 59(1). 98–107. 12 indexed citations
9.
Li, Haocheng, Song Han, Qingfeng Sun, et al.. (2019). Long non-coding RNA CDKN2B-AS1 reduces inflammatory response and promotes cholesterol efflux in atherosclerosis by inhibiting ADAM10 expression. Aging. 11(6). 1695–1715. 51 indexed citations
10.
Jiao, Tong, Ye Yao, Bo Zhang, et al.. (2017). Role of MicroRNA-103a Targeting ADAM10 in Abdominal Aortic Aneurysm. BioMed Research International. 2017. 1–14. 30 indexed citations
11.
12.
Wang, Yunpeng, Guanghui Shen, Haiyang Wang, et al.. (2017). Association of high sensitivity C-reactive protein and abdominal aortic aneurysm: a meta-analysis and systematic review. Current Medical Research and Opinion. 33(12). 2145–2152. 10 indexed citations
13.
Jing, Bao, et al.. (2016). High expression of long noncoding RNA Sox2ot is associated with the aggressive progression and poor outcome of gastric cancer.. PubMed. 20(21). 4482–4486. 22 indexed citations
14.
Jing, Bao, et al.. (2016). miR-194 inhibits gastric cancer cell proliferation and tumorigenesis by targeting KDM5B.. PubMed. 20(21). 4487–4493. 35 indexed citations
15.
Yao, Ye, Junli Zhuang, You Li, et al.. (2015). Association of Polymorphisms of the Receptor for Advanced Glycation End Products Gene and Susceptibility to Sporadic Abdominal Aortic Aneurysm. BioMed Research International. 2015. 1–10. 6 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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