Liuxing Wang

1.1k total citations
47 papers, 905 citations indexed

About

Liuxing Wang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Liuxing Wang has authored 47 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 20 papers in Cancer Research and 14 papers in Oncology. Recurrent topics in Liuxing Wang's work include MicroRNA in disease regulation (9 papers), Cancer Cells and Metastasis (7 papers) and Cancer-related molecular mechanisms research (6 papers). Liuxing Wang is often cited by papers focused on MicroRNA in disease regulation (9 papers), Cancer Cells and Metastasis (7 papers) and Cancer-related molecular mechanisms research (6 papers). Liuxing Wang collaborates with scholars based in China and United States. Liuxing Wang's co-authors include Qingxia Fan, Hong Zong, Feng Wang, Weijie Zhang, Weijie Zhang, Zhiwei Chang, Xu Han, Mengquan Li, Yan Sun and Feng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncotarget.

In The Last Decade

Liuxing Wang

46 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liuxing Wang China 18 629 402 210 104 85 47 905
Tianli Fan China 14 609 1.0× 391 1.0× 167 0.8× 92 0.9× 62 0.7× 29 832
Peishu Liu China 22 774 1.2× 473 1.2× 169 0.8× 102 1.0× 131 1.5× 62 1.2k
Jiaming Huang China 17 518 0.8× 433 1.1× 216 1.0× 130 1.3× 108 1.3× 51 932
Xin Song China 16 662 1.1× 385 1.0× 211 1.0× 120 1.2× 94 1.1× 31 921
Jar‐Yi Ho Taiwan 19 605 1.0× 333 0.8× 150 0.7× 114 1.1× 90 1.1× 32 892
Xinzheng Dai China 18 407 0.6× 196 0.5× 196 0.9× 144 1.4× 126 1.5× 29 877
Zhongxue Fu China 20 721 1.1× 319 0.8× 266 1.3× 180 1.7× 133 1.6× 42 1.0k
Yong Zou China 20 810 1.3× 390 1.0× 218 1.0× 284 2.7× 122 1.4× 48 1.2k
Yi-Chieh Yang Taiwan 15 650 1.0× 325 0.8× 165 0.8× 108 1.0× 68 0.8× 19 869
Laura Layos Spain 13 485 0.8× 211 0.5× 564 2.7× 115 1.1× 99 1.2× 30 973

Countries citing papers authored by Liuxing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liuxing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liuxing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Liuxing Wang. A scholar is included among the top collaborators of Liuxing 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 Liuxing Wang. Liuxing Wang 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.
Dai, Li, Liuxing Wang, Guanghai Wang, et al.. (2022). Efficacy of Disitamab Vedotin in Treating HER2 2+/FISH- Gastric Cancer. SHILAP Revista de lepidopterología. 6 indexed citations
3.
Wang, Liuxing, et al.. (2019). Effect and Mechanism of Metformin on Side Population Cells of Human Esophageal Squamous Cell Carcinoma. SHILAP Revista de lepidopterología.
4.
Li, Jingruo, Chuang Du, Linfeng Zhang, et al.. (2019). Upregulated Circular RNA circ-UBE2D2 Predicts Poor Prognosis and Promotes Breast Cancer Progression by Sponging miR-1236 and miR-1287. Translational Oncology. 12(10). 1305–1313. 38 indexed citations
5.
Wang, Jiaojiao, Lijie Song, Sen Yang, et al.. (2017). HPK1 positive expression associated with longer overall survival in patients with estrogen receptor-positive invasive ductal carcinoma-not otherwise specified. Molecular Medicine Reports. 16(4). 4634–4642. 7 indexed citations
6.
7.
Xue, Lei, Xiying Yu, Xingran Jiang, et al.. (2016). TM4SF1 promotes the self-renewal of esophageal cancer stem-like cells and is regulated by miR-141. Oncotarget. 8(12). 19274–19284. 20 indexed citations
8.
Wang, Feng, et al.. (2016). MiR-424-5p participates in esophageal squamous cell carcinoma invasion and metastasis via SMAD7 pathway mediated EMT. Diagnostic Pathology. 11(1). 88–88. 41 indexed citations
9.
Han, Xu, Mengquan Li, Yue Zhou, et al.. (2015). S100A4 participates in epithelial-mesenchymal transition in breast cancer via targeting MMP2. Tumor Biology. 37(3). 2925–2932. 31 indexed citations
10.
Zhang, Weijie, Hongliang Jiao, Xudong Zhang, et al.. (2015). Correlation between the expression of DNMT1, and GSTP1 and APC, and the methylation status of GSTP1 and APC in association with their clinical significance in prostate cancer. Molecular Medicine Reports. 12(1). 141–146. 31 indexed citations
11.
Wang, Feng, Xiangke Li, Hongyan Xu, et al.. (2015). N-cadherin participated in invasion and metastasis of human esophageal squamous cell carcinoma via taking part in the formation of vasculogenic mimicry. Medical Oncology. 32(2). 480–480. 12 indexed citations
12.
Wang, Feng, Xiaoyan Xuan, Xuan Yang, et al.. (2014). Stathmin is a Marker of Progression and Poor Prognosis in Esophageal Carcinoma. Asian Pacific Journal of Cancer Prevention. 15(8). 3613–3618. 15 indexed citations
13.
Han, Xu, Yan Sun, Weijie Zhang, et al.. (2014). Critical role of miR-10b in transforming growth factor-β1-induced epithelial–mesenchymal transition in breast cancer. Cancer Gene Therapy. 21(2). 60–67. 92 indexed citations
14.
Ma, Wang, Tengfei Zhang, Jian Pan, et al.. (2014). Assessment of insulin-like growth factor 1 receptor as an oncogene in esophageal squamous cell carcinoma and its potential implication in chemotherapy. Oncology Reports. 32(4). 1601–1609. 11 indexed citations
15.
Wang, Feng, Zhiwei Chang, Qingxia Fan, & Liuxing Wang. (2014). Epigallocatechin-3-gallate inhibits the proliferation and migration of human ovarian carcinoma cells by modulating p38 kinase and matrix metalloproteinase-2. Molecular Medicine Reports. 9(3). 1085–1089. 32 indexed citations
16.
Fan, Qingxia, Weijie Zhang, Shunchang Jiao, et al.. (2014). Prognostic Significance of Tumor-infiltrating CD8+ or CD3+ T Lymphocytes and Interleukin-2 Expression in Radically Resected Non-small Cell Lung Cancer. Chinese Medical Journal. 128(1). 105–110. 45 indexed citations
17.
18.
Fu, Xiaorui, Chen Zhang, Changying Chen, et al.. (2012). [Expression and significance of matrix metalloproteinase and tissue inhibitor of matrix metalloproteinase in non-melanoma skin cancer].. PubMed. 34(5). 369–73. 4 indexed citations
19.
Zong, Hong, Feng Wang, Qingxia Fan, & Liuxing Wang. (2011). Curcumin inhibits metastatic progression of breast cancer cell through suppression of urokinase-type plasminogen activator by NF-kappa B signaling pathways. Molecular Biology Reports. 39(4). 4803–4808. 87 indexed citations
20.
Wang, Liuxing, et al.. (2005). The different expression of maspin in human mammary cancer of different CerbB-2 expression. 18(2). 85–86. 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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