Shu Lian

1.0k total citations
24 papers, 828 citations indexed

About

Shu Lian is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Shu Lian has authored 24 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Shu Lian's work include Cancer Cells and Metastasis (7 papers), Nanoplatforms for cancer theranostics (5 papers) and Extracellular vesicles in disease (4 papers). Shu Lian is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Nanoplatforms for cancer theranostics (5 papers) and Extracellular vesicles in disease (4 papers). Shu Lian collaborates with scholars based in China, Switzerland and Russia. Shu Lian's co-authors include Lee Jia, Yusheng Lu, Xiaodong Xie, Bifei Li, Yu Gao, Yunlong Cheng, Fengqiao Li, Shuhui Li, Hang Lin and Huijuan Zhang and has published in prestigious journals such as Nature Communications, Cancer and Chemical Communications.

In The Last Decade

Shu Lian

24 papers receiving 825 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Lian China 16 378 266 238 199 169 24 828
Jungshan Chang Taiwan 19 386 1.0× 200 0.8× 223 0.9× 156 0.8× 111 0.7× 50 909
Matin Chehelgerdi Iran 5 398 1.1× 271 1.0× 151 0.6× 109 0.5× 82 0.5× 6 864
Ling Yu China 19 452 1.2× 231 0.9× 321 1.3× 345 1.7× 85 0.5× 44 1.1k
Janani Panneerselvam United States 15 486 1.3× 198 0.7× 241 1.0× 122 0.6× 225 1.3× 24 906
Aihua Wu China 19 570 1.5× 345 1.3× 204 0.9× 273 1.4× 217 1.3× 37 1.2k
Joseph Burnett United States 17 426 1.1× 264 1.0× 312 1.3× 97 0.5× 183 1.1× 26 879
Cao Dai Phung South Korea 20 407 1.1× 509 1.9× 191 0.8× 350 1.8× 134 0.8× 33 1.0k
Batoul Farran United States 18 441 1.2× 194 0.7× 214 0.9× 102 0.5× 137 0.8× 33 869
Xuejia Kang United States 14 378 1.0× 286 1.1× 207 0.9× 241 1.2× 115 0.7× 28 899
Francesco Mainini Italy 10 334 0.9× 148 0.6× 81 0.3× 161 0.8× 93 0.6× 17 697

Countries citing papers authored by Shu Lian

Since Specialization
Citations

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

Fields of papers citing papers by Shu Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Lian

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Lian. A scholar is included among the top collaborators of Shu Lian 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 Shu Lian. Shu Lian 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.
Wang, Weiyu, Shu Lian, Xiaodong Xie, et al.. (2025). TGF-β secreted by cancer cells-platelets interaction activates cancer metastasis potential by inducing metabolic reprogramming and bioenergetic adaptation. Journal of Cancer. 16(4). 1310–1323. 2 indexed citations
2.
Lian, Shu, Qixuan Wang, Yuxin Liu, et al.. (2024). Multi-targeted nanoarrays for early broad-spectrum detection of lung cancer based on blood biopsy of tumor exosomes. Talanta. 276. 126270–126270. 1 indexed citations
3.
Li, Yumei, Wulin Li, Shu Lian, et al.. (2023). Ganoderma lucidum extract promotes tumor cell pyroptosis and inhibits metastasis in breast cancer. Food and Chemical Toxicology. 174. 113654–113654. 25 indexed citations
4.
Wang, Weiyu, Mengting Lin, Yusheng Lu, et al.. (2022). Fucoxanthin prevents breast cancer metastasis by interrupting circulating tumor cells adhesion and transendothelial migration. Frontiers in Pharmacology. 13. 960375–960375. 10 indexed citations
5.
Xie, Xiaodong, Yumei Li, Shu Lian, Yusheng Lu, & Lee Jia. (2022). Cancer metastasis chemoprevention prevents circulating tumour cells from germination. Signal Transduction and Targeted Therapy. 7(1). 341–341. 19 indexed citations
6.
Cheng, Yunlong, Shu Lian, Shuhui Li, et al.. (2022). Combination of Se-methylselenocysteine, D-α-tocopheryl succinate, β-carotene, and l-lysine can prevent cancer metastases using as an adjuvant therapy. Journal of Zhejiang University SCIENCE B. 23(11). 943–956. 2 indexed citations
7.
Xie, Xiaodong, Shu Lian, Yu Zhou, et al.. (2021). Tumor-derived exosomes can specifically prevent cancer metastatic organotropism. Journal of Controlled Release. 331. 404–415. 47 indexed citations
8.
Xie, Xiaodong, Huifang Nie, Yu Zhou, et al.. (2019). Eliminating blood oncogenic exosomes into the small intestine with aptamer-functionalized nanoparticles. Nature Communications. 10(1). 5476–5476. 87 indexed citations
9.
Lian, Shu, Xiaodong Xie, Yusheng Lu, & Lee Jia. (2019). <p>Checkpoint CD47 Function On Tumor Metastasis And Immune Therapy</p>. OncoTargets and Therapy. Volume 12. 9105–9114. 57 indexed citations
10.
Lian, Shu, Xiaodong Xie, Shuhui Li, et al.. (2019). Simultaneous blocking of CD47 and PD-L1 increases innate and adaptive cancer immune responses and cytokine release. EBioMedicine. 42. 281–295. 104 indexed citations
11.
Lian, Shu, Yusheng Lu, Yunlong Cheng, et al.. (2019). Dual blockage of both PD-L1 and CD47 enhances immunotherapy against circulating tumor cells. Scientific Reports. 9(1). 4532–4532. 66 indexed citations
12.
Lian, Shu, Changhe Ouyang, Shuhui Li, et al.. (2019). Mitochondria and Nuclei Dual-Targeted Hollow Carbon Nanospheres for Cancer Chemophotodynamic Synergistic Therapy. Molecular Pharmaceutics. 16(5). 2235–2248. 25 indexed citations
13.
Liu, Jian, Doudou Zhang, Shu Lian, et al.. (2018). Redox-responsive hyaluronic acid-functionalized graphene oxide nanosheets for targeted delivery of water-insoluble cancer drugs. International Journal of Nanomedicine. Volume 13. 7457–7472. 41 indexed citations
14.
Lu, Yusheng, Shu Lian, Yunlong Cheng, et al.. (2018). Circulation patterns and seed-soil compatibility factors cooperate to cause cancer organ-specific metastasis. Experimental Cell Research. 375(1). 62–72. 13 indexed citations
15.
Lu, Yusheng, Shu Lian, Ting Yu, et al.. (2018). S-Nitrosocaptopril prevents cancer metastasis in vivo by creating the hostile bloodstream microenvironment against circulating tumor cells. Pharmacological Research. 139. 535–549. 26 indexed citations
16.
Lian, Shu, Xiaodong Xie, Shuhui Li, et al.. (2018). Target Delivery siRNA Blockade Dual CD47 and PD-L1 Checkpoints Induced Innate and Adaptive Immune Responses. SSRN Electronic Journal. 1 indexed citations
17.
Gao, Yu, Xiaodong Xie, Fengqiao Li, et al.. (2017). A novel nanomissile targeting two biomarkers and accurately bombing CTCs with doxorubicin. Nanoscale. 9(17). 5624–5640. 28 indexed citations
18.
19.
Xie, Xiaodong, Fengqiao Li, Huijuan Zhang, et al.. (2015). EpCAM aptamer-functionalized mesoporous silica nanoparticles for efficient colon cancer cell-targeted drug delivery. European Journal of Pharmaceutical Sciences. 83. 28–35. 146 indexed citations
20.
Lu, Yusheng, Haiyan Liang, Ting Yu, et al.. (2015). Isolation and characterization of living circulating tumor cells in patients by immunomagnetic negative enrichment coupled with flow cytometry. Cancer. 121(17). 3036–3045. 60 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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