Wantao Chen

2.3k total citations
46 papers, 1.8k citations indexed

About

Wantao Chen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Wantao Chen has authored 46 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 25 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Wantao Chen's work include Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (11 papers) and MicroRNA in disease regulation (9 papers). Wantao Chen is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (11 papers) and MicroRNA in disease regulation (9 papers). Wantao Chen collaborates with scholars based in China, United States and Taiwan. Wantao Chen's co-authors include Jianjun Zhang, Qin Xu, Ming Yan, Xing Qin, Wei Cao, Zhiyuan Zhang, Xiaojian Zhou, Furong Xie, Ping Zhang and Chenping Zhang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Biomaterials.

In The Last Decade

Wantao Chen

45 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wantao Chen China 24 1.2k 948 410 147 147 46 1.8k
Qin Xu China 25 1.7k 1.3× 1.2k 1.2× 494 1.2× 196 1.3× 188 1.3× 64 2.3k
Cheng-Chia Yu Taiwan 20 1.3k 1.1× 800 0.8× 799 1.9× 152 1.0× 95 0.6× 33 2.0k
Dongwang Zhu China 23 805 0.7× 511 0.5× 371 0.9× 156 1.1× 174 1.2× 56 1.5k
Donghai Huang China 24 815 0.7× 377 0.4× 380 0.9× 138 0.9× 144 1.0× 60 1.3k
Shuichi Kawashiri Japan 22 738 0.6× 478 0.5× 533 1.3× 179 1.2× 123 0.8× 71 1.6k
Jianming Hu China 22 958 0.8× 544 0.6× 334 0.8× 235 1.6× 207 1.4× 67 1.5k
Xiqiang Liu China 29 1.9k 1.6× 1.6k 1.7× 526 1.3× 197 1.3× 128 0.9× 64 2.8k
Ma-Yan Huang China 9 1.3k 1.0× 1.1k 1.2× 225 0.5× 71 0.5× 96 0.7× 9 1.6k
Hiu Wing Cheung China 16 876 0.7× 256 0.3× 457 1.1× 123 0.8× 92 0.6× 36 1.3k
James C. Lang United States 17 720 0.6× 413 0.4× 455 1.1× 126 0.9× 72 0.5× 27 1.2k

Countries citing papers authored by Wantao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wantao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wantao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Wantao Chen. A scholar is included among the top collaborators of Wantao Chen 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 Wantao Chen. Wantao Chen 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.
Xi, Yue, Kun Zheng, Yujun Liu, et al.. (2024). Themis: advancing precision oncology through comprehensive molecular subtyping and optimization. Briefings in Bioinformatics. 25(4). 2 indexed citations
2.
Zhang, Tingting, Xueqin Zhu, Qiang Sun, et al.. (2021). Identification and Confirmation of the miR-30 Family as a Potential Central Player in Tobacco-Related Head and Neck Squamous Cell Carcinoma. Frontiers in Oncology. 11. 616372–616372. 9 indexed citations
3.
Jiang, Yingying, Haiyan Guo, Tong Tong, et al.. (2021). lncRNA lnc-POP1-1 upregulated by VN1R5 promotes cisplatin resistance in head and neck squamous cell carcinoma through interaction with MCM5. Molecular Therapy. 30(1). 448–467. 42 indexed citations
4.
Li, Ye, Wantao Chen, Junfang Zhao, et al.. (2020). Study on clinical and biological characteristics of ameloblastic carcinoma. Orphanet Journal of Rare Diseases. 15(1). 316–316. 24 indexed citations
5.
Jiang, Yingying, Wei Cao, Kun Wu, et al.. (2019). LncRNA LINC00460 promotes EMT in head and neck squamous cell carcinoma by facilitating peroxiredoxin-1 into the nucleus. Journal of Experimental & Clinical Cancer Research. 38(1). 365–365. 124 indexed citations
6.
Shi, Jianbo, et al.. (2018). Proteolytic Release of the p75NTR Intracellular Domain by ADAM10 Promotes Metastasis and Resistance to Anoikis. Cancer Research. 78(9). 2262–2276. 23 indexed citations
7.
Qin, Xing, Ming Yan, Xu Wang, et al.. (2018). Cancer-associated Fibroblast-derived IL-6 Promotes Head and Neck Cancer Progression via the Osteopontin-NF-kappa B Signaling Pathway. Theranostics. 8(4). 921–940. 141 indexed citations
8.
Liu, Jiannan, Yue Xing, Liqun Xu, et al.. (2017). Decreased expression of pseudogene PTENP1 promotes malignant behaviours and is associated with the poor survival of patients with HNSCC. Scientific Reports. 7(1). 41179–41179. 37 indexed citations
9.
Qin, Xing, Ming Yan, Jianjun Zhang, et al.. (2016). TGFβ3-mediated induction of Periostin facilitates head and neck cancer growth and is associated with metastasis. Scientific Reports. 6(1). 20587–20587. 93 indexed citations
10.
Xie, Furong, et al.. (2014). miR-300 inhibits epithelial to mesenchymal transition and metastasis by targeting Twist in human epithelial cancer. Molecular Cancer. 13(1). 121–121. 78 indexed citations
11.
Wu, Xiangbing, Wei Cao, Lizhen Wang, et al.. (2014). Parathyroid hormone-related protein serves as a prognostic indicator in oral squamous cell carcinoma. Journal of Experimental & Clinical Cancer Research. 33(1). 100–100. 23 indexed citations
12.
Song, Xiaomeng, Ronghui Xia, Jiang Li, et al.. (2013). Common and Complex Notch1 Mutations in Chinese Oral Squamous Cell Carcinoma. Clinical Cancer Research. 20(3). 701–710. 86 indexed citations
13.
Wu, Xiangbing, Wei Cao, Xu Wang, et al.. (2013). TGM3, a candidate tumor suppressor gene, contributes to human head and neck cancer. Molecular Cancer. 12(1). 151–151. 50 indexed citations
14.
Gupta, Aditi, et al.. (2013). Promising Noninvasive Cellular Phenotype in Prostate Cancer Cells Knockdown of Matrix Metalloproteinase 9. The Scientific World JOURNAL. 2013(1). 493689–493689. 26 indexed citations
15.
Li, Rongrong, Yipeng Song, & Wantao Chen. (2011). Enhancing Radiosensitivity of Human Pulmonary Adenocarcinoma Cell Line A549 by CpG ODN1826. Cancer Biotherapy and Radiopharmaceuticals. 26(1). 69–76. 8 indexed citations
16.
Song, Meng, et al.. (2011). Study of the Differentially Expressed Genes in Pleomorphic Adenoma Using cDNA Microarrays. Pathology & Oncology Research. 17(3). 765–769. 6 indexed citations
17.
Sun, Qiang, Ming Yan, Xiaojian Zhou, et al.. (2010). [Effects of Podoplanin on cell proliferation and cell cycle in oral leukoplakia cells].. PubMed. 45(1). 6–10. 1 indexed citations
18.
Zhang, Lei, Xiao Yang, Hongya Pan, et al.. (2009). Comparative proteomic analysis of differentially expressed proteins in an in vitro cellular carcinogenesis model of oral squamous cell carcinoma. PROTEOMICS - CLINICAL APPLICATIONS. 3(3). 322–337. 6 indexed citations
19.
Zhang, Ping, et al.. (2006). Identification of genes associated with cisplatin resistance in human oral squamous cell carcinoma cell line. BMC Cancer. 6(1). 224–224. 72 indexed citations
20.
Chen, Wantao, et al.. (2003). [Chemosensitivity testing of oral squamous cell carcinomas with teniposide].. PubMed. 38(6). 441–3. 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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