Weixi Shen

782 total citations
28 papers, 580 citations indexed

About

Weixi Shen is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Weixi Shen has authored 28 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 8 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Weixi Shen's work include Polysaccharides and Plant Cell Walls (4 papers), Natural Compound Pharmacology Studies (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Weixi Shen is often cited by papers focused on Polysaccharides and Plant Cell Walls (4 papers), Natural Compound Pharmacology Studies (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Weixi Shen collaborates with scholars based in China, Japan and United Kingdom. Weixi Shen's co-authors include Tao Xin, Qiuying Jiang, Dayong Huang, Fubin Zhang, Chunhong Chen, Ying‐Hua Jin, Yinghua Jin, Xiaowei Song, Guangjie Sui and Wenyong Tan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Carbohydrate Polymers.

In The Last Decade

Weixi Shen

27 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weixi Shen China 14 181 155 138 115 89 28 580
Tao Xin China 16 277 1.5× 162 1.0× 150 1.1× 138 1.2× 91 1.0× 40 622
Kei Namba Japan 15 333 1.8× 251 1.6× 215 1.6× 65 0.6× 107 1.2× 41 668
Yuanfeng Yang China 15 299 1.7× 162 1.0× 153 1.1× 66 0.6× 75 0.8× 49 645
Yougen Wu China 12 302 1.7× 120 0.8× 54 0.4× 62 0.5× 133 1.5× 24 573
Huaping Yang China 17 277 1.5× 169 1.1× 239 1.7× 73 0.6× 157 1.8× 46 715
Qianjun Zhou China 18 323 1.8× 180 1.2× 286 2.1× 75 0.7× 170 1.9× 33 844
Wenxue Liu China 10 241 1.3× 168 1.1× 83 0.6× 93 0.8× 72 0.8× 30 530
Hua-Tao Wu China 15 476 2.6× 221 1.4× 147 1.1× 72 0.6× 242 2.7× 38 846
Youqun Xiang China 17 347 1.9× 250 1.6× 73 0.5× 58 0.5× 150 1.7× 30 734
Chung‐Wai Shiau Taiwan 15 256 1.4× 182 1.2× 97 0.7× 34 0.3× 81 0.9× 33 598

Countries citing papers authored by Weixi Shen

Since Specialization
Citations

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

Fields of papers citing papers by Weixi Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixi Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Weixi Shen. A scholar is included among the top collaborators of Weixi Shen 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 Weixi Shen. Weixi Shen 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.
Fan, Chengjuan, Yuanyuan Hu, Xiaowei Song, et al.. (2025). Intrathecal sintilimab for leptomeningeal metastases of non-small cell lung cancer failed from targeted therapy and intrathecal chemotherapy (LMIS study). Neuro-Oncology. 27(6). 1559–1566. 2 indexed citations
2.
Jin, Yinghua, Chengjuan Fan, Xiaowei Song, et al.. (2023). Peripheral T-cell subsets in radiofrequency ablation for tumors from different origins. Asian Journal of Surgery. 47(3). 1378–1382. 4 indexed citations
3.
Wang, Minghui, Yongmei Dai, Duoguang Wu, et al.. (2022). Concordance Study of a 520-Gene Next-Generation Sequencing-Based Genomic Profiling Assay of Tissue and Plasma Samples. Molecular Diagnosis & Therapy. 26(3). 309–322. 24 indexed citations
4.
Li, Guanghua, Pengfei Zhang, Haozhe Wang, et al.. (2022). Comparison of tumor and two types of paratumoral tissues highlighted epigenetic regulation of transcription during field cancerization in non-small cell lung cancer. BMC Medical Genomics. 15(1). 66–66. 5 indexed citations
5.
Shen, Weixi, Rongcheng Luo, Jing‐Quan Wang, & Zhe‐Sheng Chen. (2021). Features of Cytokine Storm Identified by Distinguishing Clinical Manifestations in COVID-19. Frontiers in Public Health. 9. 671788–671788. 32 indexed citations
6.
7.
Shen, Weixi, et al.. (2020). ACAA1 Is a Predictive Factor of Survival and Is Correlated With T Cell Infiltration in Non-Small Cell Lung Cancer. Frontiers in Oncology. 10. 564796–564796. 9 indexed citations
8.
Tan, Wenyong, Yingjie Wang, Ming Yang, et al.. (2018). Analysis of geometric variation of neck node levels during image-guided radiotherapy for nasopharyngeal carcinoma: recommended planning margins. Quantitative Imaging in Medicine and Surgery. 8(7). 637–647. 12 indexed citations
9.
Jin, Yinghua, Qiuying Jiang, Xiaowei Song, et al.. (2018). Comparison of efficacy and toxicity of bevacizumab, endostar and apatinib in transgenic and human lung cancer xenograftzebrafish model. Scientific Reports. 8(1). 15837–15837. 27 indexed citations
10.
Tan, Wenyong, et al.. (2018). Predicting the response to neoadjuvant therapy for early-stage breast cancer: tumor-, blood-, and imaging-related biomarkers. Cancer Management and Research. Volume 10. 4333–4347. 35 indexed citations
11.
Shen, Weixi, Chun‐Hong Chen, Yuanyuan Guan, et al.. (2017). A pumpkin polysaccharide induces apoptosis by inhibiting the JAK2/STAT3 pathway in human hepatoma HepG2 cells. International Journal of Biological Macromolecules. 104(Pt A). 681–686. 35 indexed citations
12.
Shen, Weixi, et al.. (2016). Antinociceptive activity of a polysaccharide from the roots of Sophora flavescens. International Journal of Biological Macromolecules. 93(Pt A). 501–505. 11 indexed citations
13.
He, Wan, Chang Zou, Wenyong Tan, et al.. (2016). Nasopharyngeal carcinoma treated with bevacizumab combined with paclitaxel liposome plus cisplatin: a case report and literature review. OncoTargets and Therapy. Volume 10. 67–72. 8 indexed citations
14.
Shen, Weixi, Yuanyuan Guan, Jingfang Wang, et al.. (2015). A polysaccharide from pumpkin induces apoptosis of HepG2 cells by activation of mitochondrial pathway. Tumor Biology. 37(4). 5239–5245. 21 indexed citations
15.
16.
Liu, Ying, Tao Xin, Dayong Huang, et al.. (2014). Prognosis in very young women with triple-negative breast cancer: retrospective study of 216 cases. Medical Oncology. 31(12). 222–222. 14 indexed citations
17.
Xin, Tao, Fubin Zhang, Qiuying Jiang, et al.. (2012). Extraction, purification and antitumor activity of a water-soluble polysaccharide from the roots of Polygala tenuifolia. Carbohydrate Polymers. 90(2). 1127–1131. 49 indexed citations
18.
Xin, Tao, Fubin Zhang, Qiuying Jiang, et al.. (2012). The inhibitory effect of a polysaccharide from Codonopsis pilosula on tumor growth and metastasis in vitro. International Journal of Biological Macromolecules. 51(5). 788–793. 78 indexed citations
19.
Xin, Tao, Fubin Zhang, Qiuying Jiang, et al.. (2012). Purification and antitumor activity of two acidic polysaccharides from the roots of Polygala tenuifolia. Carbohydrate Polymers. 90(4). 1671–1676. 24 indexed citations
20.
Shen, Weixi. (2001). On Scientific Connotation of Syndrome Essence of Traditional Chinese Medicine. Zhongguo zhongyi jichu yixue zazhi. 7(6). 10–14. 1 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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