Shanshan Wu

771 total citations
30 papers, 573 citations indexed

About

Shanshan Wu is a scholar working on Molecular Biology, Environmental Engineering and Cancer Research. According to data from OpenAlex, Shanshan Wu has authored 30 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Environmental Engineering and 5 papers in Cancer Research. Recurrent topics in Shanshan Wu's work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers) and Heavy metals in environment (3 papers). Shanshan Wu is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers) and Heavy metals in environment (3 papers). Shanshan Wu collaborates with scholars based in China, Canada and Chile. Shanshan Wu's co-authors include Jiangang Yuan, Zhongyi Yang, Jueheng Wu, Xun Zhu, Mengfeng Li, Junchao Cai, Hongyu Guan, Binbin Li, Xue Meng and Jun Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Oncogene and Frontiers in Plant Science.

In The Last Decade

Shanshan Wu

27 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanshan Wu China 13 245 175 83 76 59 30 573
Yihua Wu China 14 395 1.6× 263 1.5× 66 0.8× 31 0.4× 25 0.4× 26 838
Qiqi Cao China 17 473 1.9× 197 1.1× 90 1.1× 73 1.0× 13 0.2× 45 962
Jingbo Gao China 15 105 0.4× 87 0.5× 80 1.0× 179 2.4× 42 0.7× 31 666
Haobo Huang China 14 169 0.7× 89 0.5× 18 0.2× 74 1.0× 82 1.4× 81 640
Jinbo Liu China 13 570 2.3× 327 1.9× 34 0.4× 70 0.9× 40 0.7× 38 941
Guiying Jiang China 16 138 0.6× 44 0.3× 119 1.4× 223 2.9× 64 1.1× 44 667
Zhiqin Li China 17 368 1.5× 174 1.0× 30 0.4× 39 0.5× 22 0.4× 57 843
Jianfei Song China 14 216 0.9× 68 0.4× 183 2.2× 72 0.9× 41 0.7× 34 540
Kristina Servomaa Finland 19 290 1.2× 153 0.9× 140 1.7× 75 1.0× 119 2.0× 38 966
Xueling Yang China 17 139 0.6× 113 0.6× 76 0.9× 36 0.5× 62 1.1× 57 763

Countries citing papers authored by Shanshan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Wu. A scholar is included among the top collaborators of Shanshan 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 Shanshan Wu. Shanshan 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.
Wu, Shanshan, Guodu Liu, Jie Yang, et al.. (2025). Psychological effects of virtual reality intervention on breast cancer patients with different personalities: A randomized controlled trial. International Journal of Nursing Sciences. 12(2). 107–114.
2.
Wu, Shanshan, et al.. (2025). Non-chemotherapy drugs inducing agranulocytosis: a disproportionality analysis based on the FAERS database. Frontiers in Pharmacology. 16. 1525307–1525307. 1 indexed citations
3.
Zhou, Beibei, Changkun Ma, Lei Cui, et al.. (2025). A method of deep network auto-training based on the MTPI auto-transfer learning and a reinforcement learning algorithm for vegetation detection in a dry thermal valley environment. Frontiers in Plant Science. 15. 1448669–1448669. 2 indexed citations
4.
Wu, Shanshan, et al.. (2025). Influence of Complex Geomorphology on Low-Level Wind Shear at Airports on the Loess Plateau. Weather and Forecasting. 40(10). 2037–2054.
5.
6.
Wu, Shanshan, et al.. (2024). Regulation of straw-derived DOM and clay mineral complexation on mercury accumulation in vegetables. Environmental Research. 266. 120474–120474. 1 indexed citations
7.
Wu, Shanshan, et al.. (2024). Predicting non-chemotherapy drug-induced agranulocytosis toxicity through ensemble machine learning approaches. Frontiers in Pharmacology. 15. 1431941–1431941. 2 indexed citations
8.
Xu, Yang, Shanshan Wu, Biqi Wang, et al.. (2023). Two-stage fine-grained image classification model based on multi-granularity feature fusion. Pattern Recognition. 146. 110042–110042. 20 indexed citations
9.
Hu, Jun, Shanshan Wu, Zebin Wu, et al.. (2023). Hyperspectral and Multispectral Image Fusion Target Detection based on Cloud-Edge Collaboration. 6564–6567. 1 indexed citations
10.
Wu, Shanshan, et al.. (2023). Exploring the Key Factors Influencing Sustainable Urban Renewal from the Perspective of Multiple Stakeholders. Sustainability. 15(13). 10596–10596. 23 indexed citations
11.
Wu, Shanshan, Bangdong Liu, Youhong Zhang, et al.. (2021). Long non-coding RNA LEISA promotes progression of lung adenocarcinoma via enhancing interaction between STAT3 and IL-6 promoter. Oncogene. 40(19). 3449–3459. 10 indexed citations
12.
Wu, Shanshan, Sisi Ye, Jianjing Yang, et al.. (2021). Oridonin interrupts cellular bioenergetics to suppress glioma cell growth by down‐regulating PCK2. Phytotherapy Research. 35(5). 2624–2638. 5 indexed citations
13.
Wu, Shanshan, et al.. (2019). The visualization of flow field around circular cylinders by fluent standard k–ε turbulence model. IOP Conference Series Earth and Environmental Science. 344(1). 12134–12134. 1 indexed citations
14.
Zhu, Ting, Shu An, Junhao Zhou, et al.. (2018). LncRNA DUXAP9‐206 directly binds with Cbl‐b to augment EGFR signaling and promotes non‐small cell lung cancer progression. Journal of Cellular and Molecular Medicine. 23(3). 1852–1864. 14 indexed citations
15.
Fang, Lishan, Shanshan Wu, Xun Zhu, et al.. (2018). MYEOV functions as an amplified competing endogenous RNA in promoting metastasis by activating TGF-β pathway in NSCLC. Oncogene. 38(6). 896–912. 44 indexed citations
16.
Zhang, Yi, Ran Tao, Shanshan Wu, et al.. (2018). TRIM52 up-regulation in hepatocellular carcinoma cells promotes proliferation, migration and invasion through the ubiquitination of PPM1A. Journal of Experimental & Clinical Cancer Research. 37(1). 116–116. 47 indexed citations
17.
Lu, Bowen, et al.. (2017). Flow and Solute Transport through a Single Fracture during the Biodegradation of Residual Toluene. Journal of Applied Fluid Mechanics. 10(6). 1669–1677. 2 indexed citations
18.
Qiu, Qingyan, Lanfang Wu, Zhu Ouyang, et al.. (2015). Effects of plant-derived dissolved organic matter (DOM) on soil CO2 and N2O emissions and soil carbon and nitrogen sequestrations. Applied Soil Ecology. 96. 122–130. 70 indexed citations
19.
Matus, Francisco, et al.. (2014). Producing Isotopically Enriched Plant, Soil Solution, and Rhizosphere Soil Materials over a Few Hours. Communications in Soil Science and Plant Analysis. 45(7). 865–880. 2 indexed citations
20.

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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