Shijun Wang

516 total citations
18 papers, 397 citations indexed

About

Shijun Wang is a scholar working on Cancer Research, Molecular Biology and Epidemiology. According to data from OpenAlex, Shijun Wang has authored 18 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 9 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Shijun Wang's work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Shijun Wang is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Shijun Wang collaborates with scholars based in China, United States and Germany. Shijun Wang's co-authors include Weitang Yuan, Xiaoming Gu, Junmin Song, Wei Zhang, Wei Zhang, Xiaoman Li, Suyun Yu, Wenxing Chen, Yin Lu and Hui Fan and has published in prestigious journals such as The Journal of Immunology, Life Sciences and Signal Transduction and Targeted Therapy.

In The Last Decade

Shijun Wang

17 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shijun Wang China 11 228 212 82 44 42 18 397
W-T Chen Taiwan 7 243 1.1× 215 1.0× 81 1.0× 33 0.8× 61 1.5× 12 439
Yingfeng Zhu China 10 338 1.5× 200 0.9× 47 0.6× 40 0.9× 74 1.8× 17 459
Jie Mo China 12 327 1.4× 102 0.5× 67 0.8× 50 1.1× 60 1.4× 26 473
Sharon Pok Australia 6 299 1.3× 174 0.8× 145 1.8× 25 0.6× 57 1.4× 9 488
Yizhi Cao China 12 298 1.3× 180 0.8× 37 0.5× 48 1.1× 45 1.1× 24 420
Haitao Zhang China 11 221 1.0× 172 0.8× 38 0.5× 25 0.6× 53 1.3× 25 340
Jianxu Chen China 11 178 0.8× 158 0.7× 112 1.4× 34 0.8× 89 2.1× 15 384
Dongdong Zhou China 12 210 0.9× 146 0.7× 50 0.6× 33 0.8× 99 2.4× 29 389
Qiuju Fan China 11 279 1.2× 104 0.5× 61 0.7× 64 1.5× 67 1.6× 17 387

Countries citing papers authored by Shijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijun Wang

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

All Works

18 of 18 papers shown
1.
Wang, Ling, et al.. (2026). Gut microbiota and metabolic characteristics in subthreshold depression based on multi-omics. Frontiers in Psychiatry. 17. 1760479–1760479.
2.
Bai, Yingnan, Liming Chen, Jinghong Zhang, et al.. (2024). EphrinB2-mediated CDK5/ISL1 pathway enhances cardiac lymphangiogenesis and alleviates ischemic injury by resolving post-MI inflammation. Signal Transduction and Targeted Therapy. 9(1). 326–326. 10 indexed citations
3.
Zhang, Xu, et al.. (2024). Ozone: complicated effects in central nervous system diseases. Medical Gas Research. 15(1). 44–57. 3 indexed citations
4.
Jia, Yan, Huanhuan Jin, Liyuan Gao, et al.. (2020). A novel lncRNA PLK4 up‐regulated by talazoparib represses hepatocellular carcinoma progression by promoting YAP‐mediated cell senescence. Journal of Cellular and Molecular Medicine. 24(9). 5304–5316. 18 indexed citations
5.
Wang, Zhimin, Siwei Xia, Tian Zhang, et al.. (2020). LncRNA-H19 induces hepatic stellate cell activation via upregulating alcohol dehydrogenase III-mediated retinoic acid signals. International Immunopharmacology. 84. 106470–106470. 10 indexed citations
6.
Wang, Zhimin, Yang Xiang, Jun Kai, et al.. (2020). HIF-1α-upregulated lncRNA-H19 regulates lipid droplet metabolism through the AMPKα pathway in hepatic stellate cells. Life Sciences. 255. 117818–117818. 24 indexed citations
7.
Fan, Hui, Yuanyuan Wu, Suyun Yu, et al.. (2020). Critical role of mTOR in regulating aerobic glycolysis in carcinogenesis (Review). International Journal of Oncology. 58(1). 9–19. 57 indexed citations
8.
Wang, Shijun, et al.. (2019). Effect of tanshinone IIA on proliferation of myocardial fibroblasts in rats. 12(1). 9–14. 1 indexed citations
9.
Wang, Zhimin, Yang Xiang, Jun Kai, et al.. (2019). LncRNA H19-induced AMPKα/LKB1 Complex Is Required for Dihydroartemisinin to Regulate Lipid Droplet Metabolism in Hepatic Stellate Cells. SSRN Electronic Journal. 1 indexed citations
10.
Wang, Shijun, Xiqian Zhang, Xiwen Liao, et al.. (2018). Distinct prognostic value of dynactin subunit 4 (DCTN4) and diagnostic value of DCTN1, DCTN2, and DCTN4 in colon adenocarcinoma. Cancer Management and Research. Volume 10. 5807–5824. 23 indexed citations
11.
Kemmner, Stephan, Stefanie Steiger, Georg Lorenz, et al.. (2018). STAT1 regulates macrophage number and phenotype and prevents renal fibrosis after ischemia-reperfusion injury. American Journal of Physiology-Renal Physiology. 316(2). F277–F291. 28 indexed citations
12.
Zhang, Wei, Weitang Yuan, Junmin Song, Shijun Wang, & Xiaoming Gu. (2017). LncRNA CPS1-IT1 suppresses EMT and metastasis of colorectal cancer by inhibiting hypoxia-induced autophagy through inactivation of HIF-1α. Biochimie. 144. 21–27. 91 indexed citations
13.
Zhang, Wei, Weitang Yuan, Junmin Song, Shijun Wang, & Xiaoming Gu. (2017). LncRna CPS1-IT1 Suppresses Cell Proliferation, Invasion and Metastasis in Colorectal Cancer. Cellular Physiology and Biochemistry. 44(2). 567–580. 61 indexed citations
14.
Jiang, Yi, et al.. (2016). A collaborative conceptual modeling tool based on stigmergy mechanism. 11–18. 3 indexed citations
15.
Liu, Jianfei, Shijun Wang, Marius George Linguraru, Jianhua Yao, & Ronald M. Summers. (2013). A Variational Framework for Joint Detection and Segmentation of Ovarian Cancer Metastases. Lecture notes in computer science. 16(Pt 2). 83–90. 3 indexed citations
16.
Wang, Shijun, Nicholas Petrick, Robert L. Van Uitert, et al.. (2012). Matching 3-D Prone and Supine CT Colonography Scans Using Graphs. IEEE Transactions on Information Technology in Biomedicine. 16(4). 676–682. 5 indexed citations
17.
Popović, Zoran V., Shijun Wang, Maria Papatriantafyllou, et al.. (2011). The Proteoglycan Biglycan Enhances Antigen-Specific T Cell Activation Potentially via MyD88 and TRIF Pathways and Triggers Autoimmune Perimyocarditis. The Journal of Immunology. 187(12). 6217–6226. 41 indexed citations
18.
Wang, Shijun, et al.. (2011). Resveratrol attenuates acute hypoxic injury in cardiomyocytes: Correlation with inhibition of iNOS–NO signaling pathway. European Journal of Pharmaceutical Sciences. 44(3). 416–421. 18 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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