Jia‐shun Wu

1.3k total citations
31 papers, 803 citations indexed

About

Jia‐shun Wu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jia‐shun Wu has authored 31 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Jia‐shun Wu's work include Salivary Gland Tumors Diagnosis and Treatment (6 papers), Cancer Cells and Metastasis (5 papers) and Immune cells in cancer (5 papers). Jia‐shun Wu is often cited by papers focused on Salivary Gland Tumors Diagnosis and Treatment (6 papers), Cancer Cells and Metastasis (5 papers) and Immune cells in cancer (5 papers). Jia‐shun Wu collaborates with scholars based in China, Australia and Hong Kong. Jia‐shun Wu's co-authors include Ya‐ling Tang, Xin‐hua Liang, Xin Pang, Shasha Wang, Mei Zhang, Ya‐Jie Tang, Jian Jiang, Jing‐biao Wu, Ke Wang and Min Zheng and has published in prestigious journals such as PLoS ONE, Frontiers in Microbiology and Journal of Cellular Physiology.

In The Last Decade

Jia‐shun Wu

29 papers receiving 799 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‐shun Wu China 17 395 275 253 145 89 31 803
Xiaocheng Zhou China 16 623 1.6× 488 1.8× 197 0.8× 133 0.9× 39 0.4× 29 927
Chongkui Sun China 13 337 0.9× 124 0.5× 192 0.8× 125 0.9× 31 0.3× 16 621
Wei-Fan Chiang Taiwan 17 721 1.8× 455 1.7× 296 1.2× 271 1.9× 62 0.7× 33 1.2k
Li Pan China 18 440 1.1× 114 0.4× 260 1.0× 118 0.8× 95 1.1× 40 844
Xiaoguang Yu China 18 508 1.3× 261 0.9× 236 0.9× 87 0.6× 32 0.4× 36 827
Shiu-Huey Chou Taiwan 13 526 1.3× 222 0.8× 393 1.6× 46 0.3× 50 0.6× 14 907
Zhirong Qian China 16 383 1.0× 183 0.7× 235 0.9× 121 0.8× 21 0.2× 24 759
Christine Mehner United States 14 423 1.1× 284 1.0× 339 1.3× 96 0.7× 108 1.2× 23 849
Lorena Benedetti Argentina 14 473 1.2× 187 0.7× 303 1.2× 62 0.4× 71 0.8× 16 865
Huimin Bai China 17 326 0.8× 118 0.4× 263 1.0× 77 0.5× 28 0.3× 52 907

Countries citing papers authored by Jia‐shun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jia‐shun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia‐shun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jia‐shun Wu. A scholar is included among the top collaborators of Jia‐shun Wu 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‐shun Wu. Jia‐shun Wu 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.
2.
Wu, Jia‐shun, et al.. (2025). Identification of Protein-Nucleotide Binding Residues With Deep Multi-Task and Multi-Scale Learning. IEEE Journal of Biomedical and Health Informatics. 29(7). 5329–5338.
3.
Wu, Jia‐shun, Yan Liu, Yiheng Zhu, & Dong‐Jun Yu. (2024). Improving Antifreeze Proteins Prediction With Protein Language Models and Hybrid Feature Extraction Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(6). 2349–2358. 1 indexed citations
4.
Shen, Yi, Wei Sun, Huanzi Lu, et al.. (2024). Phenotype remodelling of HNSCC cells in the muscle invasion environment. Journal of Translational Medicine. 22(1). 909–909. 2 indexed citations
5.
Wu, Jia‐shun, Yan Liu, Fang Ge, & Dong‐Jun Yu. (2024). Prediction of protein-ATP binding residues using multi-view feature learning via contextual-based co-attention network. Computers in Biology and Medicine. 172. 108227–108227. 11 indexed citations
6.
Liu, Yu, Ziyang Zhu, Jia‐shun Wu, et al.. (2024). Tuning crystal structure and electronic properties for enhanced oxygen intercalation pseudocapacitance in perovskite. Cell Reports Physical Science. 5(3). 101846–101846. 2 indexed citations
7.
Wu, Jia‐shun, et al.. (2023). SPP1+ TAM subpopulations in tumor microenvironment promote intravasation and metastasis of head and neck squamous cell carcinoma. Cancer Gene Therapy. 31(2). 311–321. 32 indexed citations
8.
Jiang, Jian, Jia‐shun Wu, Mei Zhang, et al.. (2022). Hypermethylation of PRKCZ Regulated by E6 Inhibits Invasion and EMT via Cdc42 in HPV-Related Head and Neck Squamous Cell Carcinoma. Cancers. 14(17). 4151–4151. 5 indexed citations
9.
Yang, Xiao, Jia‐shun Wu, Mao Li, et al.. (2021). Inhibition of DEC2 is necessary for exiting cell dormancy in salivary adenoid cystic carcinoma. Journal of Experimental & Clinical Cancer Research. 40(1). 169–169. 14 indexed citations
10.
Zhang, Mei, Jia‐shun Wu, Haofan Wang, et al.. (2021). CXCR5 induces perineural invasion of salivary adenoid cystic carcinoma by inhibiting microRNA-187. Aging. 13(11). 15384–15399. 15 indexed citations
11.
Wu, Jia‐shun, et al.. (2020). [Mandibular Langerhans cell histiocytosis: a case report].. PubMed Central. 38(2). 224–227. 1 indexed citations
12.
Wu, Jia‐shun, et al.. (2020). Plasticity of cancer cell invasion: Patterns and mechanisms. Translational Oncology. 14(1). 100899–100899. 144 indexed citations
13.
Jiang, Jian, Min Zheng, Mei Zhang, et al.. (2019). PRRX1 Regulates Cellular Phenotype Plasticity and Dormancy of Head and Neck Squamous Cell Carcinoma Through miR-642b-3p. Neoplasia. 21(2). 216–229. 33 indexed citations
14.
Zhang, Mei, Haofan Wang, Shasha Wang, et al.. (2019). MIF promotes perineural invasion through EMT in salivary adenoid cystic carcinoma. Molecular Carcinogenesis. 58(6). 898–912. 22 indexed citations
15.
Wu, Jia‐shun, Haofan Wang, Xianghua Yu, et al.. (2019). Cathepsin B defines leader cells during the collective invasion of salivary adenoid cystic carcinoma. International Journal of Oncology. 54(4). 1233–1244. 31 indexed citations
16.
Wang, Haofan, Shasha Wang, Min Zheng, et al.. (2019). Hypoxia promotes vasculogenic mimicry formation by vascular endothelial growth factor A mediating epithelial‐mesenchymal transition in salivary adenoid cystic carcinoma. Cell Proliferation. 52(3). e12600–e12600. 63 indexed citations
17.
Zhang, Mei, Jia‐shun Wu, Xin Pang, et al.. (2018). Overexpression Cathepsin D Contributes to Perineural Invasion of Salivary Adenoid Cystic Carcinoma. Frontiers in Oncology. 8. 492–492. 15 indexed citations
18.
Wu, Jia‐shun, Min Zheng, Mei Zhang, et al.. (2018). Porphyromonas gingivalis Promotes 4-Nitroquinoline-1-Oxide-Induced Oral Carcinogenesis With an Alteration of Fatty Acid Metabolism. Frontiers in Microbiology. 9. 2081–2081. 55 indexed citations
19.
Gao, Xiaolei, Jia‐shun Wu, Shiyu Gao, et al.. (2017). Cytokeratin-14 contributes to collective invasion of salivary adenoid cystic carcinoma. PLoS ONE. 12(2). e0171341–e0171341. 28 indexed citations
20.
Wu, Jia‐shun, et al.. (2017). The role of tumor microenvironment in collective tumor cell invasion. Future Oncology. 13(11). 991–1002. 43 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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