Shuqian Wang

2.4k total citations · 1 hit paper
50 papers, 1.6k citations indexed

About

Shuqian Wang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shuqian Wang has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Shuqian Wang's work include Cancer-related molecular mechanisms research (8 papers), Vehicle emissions and performance (7 papers) and RNA modifications and cancer (7 papers). Shuqian Wang is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), Vehicle emissions and performance (7 papers) and RNA modifications and cancer (7 papers). Shuqian Wang collaborates with scholars based in China, United States and United Kingdom. Shuqian Wang's co-authors include Xiongbo Duan, Jinping Liu, Yujiao Deng, Zhijun Dai, Yi Zheng, Jia Yao, Hao Dong, Zhen Zhai, Ke Chen and Fengyu Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Biochemical and Biophysical Research Communications.

In The Last Decade

Shuqian Wang

47 papers receiving 1.6k citations

Hit Papers

The effect of variable enhanced Miller cycle combined wit... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuqian Wang China 24 367 353 271 262 225 50 1.6k
Zhentao Liu China 23 378 1.0× 281 0.8× 209 0.8× 246 0.9× 224 1.0× 65 1.4k
Yifan Wang China 27 591 1.6× 277 0.8× 307 1.1× 177 0.7× 247 1.1× 124 2.6k
Haohao Wang China 24 596 1.6× 332 0.9× 337 1.2× 100 0.4× 147 0.7× 121 2.1k
Gaopeng Li China 27 932 2.5× 398 1.1× 674 2.5× 239 0.9× 134 0.6× 97 2.5k
Xinyu Wei China 24 205 0.6× 329 0.9× 241 0.9× 45 0.2× 147 0.7× 160 1.7k
Woo Seok Kim South Korea 28 291 0.8× 446 1.3× 82 0.3× 82 0.3× 334 1.5× 171 2.5k
Yoshihiro Adachi Japan 35 1.2k 3.2× 323 0.9× 182 0.7× 49 0.2× 86 0.4× 123 3.8k
Chenlin Zhang China 29 235 0.6× 72 0.2× 146 0.5× 19 0.1× 192 0.9× 64 3.3k
Binghong Chen China 20 409 1.1× 41 0.1× 222 0.8× 60 0.2× 39 0.2× 89 1.6k
Ji Su Kim South Korea 25 279 0.8× 212 0.6× 147 0.5× 139 0.5× 169 0.8× 133 2.3k

Countries citing papers authored by Shuqian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuqian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuqian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuqian Wang. A scholar is included among the top collaborators of Shuqian 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 Shuqian Wang. Shuqian 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
2.
Wang, Shuqian, et al.. (2025). The effect of variable enhanced Miller cycle combined with EGR strategy on the cycle-by-cycle variations and performance of high compression ratio engines based on asynchronous valve opening strategy. Energy. 320. 135307–135307. 18 indexed citations breakdown →
3.
4.
Chen, Xin, Feiya Du, Shuqian Wang, et al.. (2024). TBOPP, a DOCK1 Inhibitor, Potentiates Cisplatin Efficacy in Breast Cancer by Regulating Twist-mediated EMT. Current Cancer Drug Targets. 25(1). 72–82.
5.
Wu, Ying, Yujiao Deng, Bajin Wei, et al.. (2022). Global, regional, and national childhood cancer burden, 1990–2019: An analysis based on the Global Burden of Disease Study 2019. Journal of Advanced Research. 40. 233–247. 68 indexed citations
6.
Wang, Shuqian, et al.. (2022). A novel senescence-related lncRNA signature that predicts prognosis and the tumor microenvironment in patients with lung adenocarcinoma. Frontiers in Genetics. 13. 951311–951311. 8 indexed citations
7.
Lou, Weiyang, Wenlong Wang, Jing Chen, Shuqian Wang, & Yu‐An Huang. (2021). ncRNAs-mediated high expression of SEMA3F correlates with poor prognosis and tumor immune infiltration of hepatocellular carcinoma. Molecular Therapy — Nucleic Acids. 24. 845–855. 42 indexed citations
8.
Li, Na, Zhen Zhai, Yi Zheng, et al.. (2021). Association of 13 Occupational Carcinogens in Patients With Cancer, Individually and Collectively, 1990-2017. JAMA Network Open. 4(2). e2037530–e2037530. 36 indexed citations
9.
Wang, Shuqian, Jing Jin, Jing Chen, & Weiyang Lou. (2021). MUC14-Related ncRNA-mRNA Network in Breast Cancer. Genes. 12(11). 1677–1677. 11 indexed citations
10.
Qin, Dong, et al.. (2021). Electronic structure and photocatalytic mechanism of g-SiC/MoSSe van der waals heterostructures: A first principles study. Superlattices and Microstructures. 153. 106837–106837. 10 indexed citations
12.
Xie, Yunkun, Zhichao Zhao, Hao Dong, et al.. (2020). Microsimulation of electric vehicle energy consumption and driving range. Applied Energy. 267. 115081–115081. 136 indexed citations
13.
Xu, Peng, Peng Zhao, Jian Ruan, et al.. (2020). Efficacy and Safety of Thalidomide for Chemotherapy-induced Nausea and Vomiting. Journal of Cancer. 11(15). 4560–4570. 6 indexed citations
14.
Wang, Shuqian, Mengjing Cheng, Xiaoxiao Zheng, et al.. (2020). Interactions Between lncRNA TUG1 and miR-9-5p Modulate the Resistance of Breast Cancer Cells to Doxorubicin by Regulating eIF5A2. OncoTargets and Therapy. Volume 13. 13159–13170. 35 indexed citations
15.
Chen, Wei, et al.. (2019). MicroRNA‐383 inhibits doxorubicin resistance in hepatocellular carcinoma by targeting eukaryotic translation initiation factor 5A2. Journal of Cellular and Molecular Medicine. 23(11). 7190–7199. 27 indexed citations
16.
Liu, Xiaoqian, et al.. (2019). Deep Convolutional Neural Networks with Curriculum Learning for Facial Expression Recognition. 2. 5925–5932. 2 indexed citations
17.
Wang, Shuqian, et al.. (2018). Application of Whale Optimization Algorithm in Optimal Allocation of Water Resources. SHILAP Revista de lepidopterología. 53. 4019–4019. 10 indexed citations
18.
Sun, Pingping, et al.. (2017). Application of HEC-RAS for flood forecasting in perched river–A case study of hilly region, China. IOP Conference Series Earth and Environmental Science. 61. 12067–12067. 6 indexed citations
19.
Zhu, Guohui, Jingping Liu, Jianqin Fu, & Shuqian Wang. (2017). A Combined Organic Rankine Cycle With Double Modes Used for Internal Combustion Engine Waste Heat Recovery. Journal of Engineering for Gas Turbines and Power. 139(11). 7 indexed citations
20.
Fu, Peifen, Minya Yao, Yu Liu, et al.. (2014). Prognostic value of preoperative inflammatory markers in Chinese patients with breast cancer. OncoTargets and Therapy. 7. 1743–1743. 75 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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