Qi Shen

3.4k total citations
89 papers, 2.7k citations indexed

About

Qi Shen is a scholar working on Biomedical Engineering, Molecular Biology and Pharmaceutical Science. According to data from OpenAlex, Qi Shen has authored 89 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 24 papers in Molecular Biology and 21 papers in Pharmaceutical Science. Recurrent topics in Qi Shen's work include Nanoplatforms for cancer theranostics (27 papers), Nanoparticle-Based Drug Delivery (20 papers) and Advanced Drug Delivery Systems (14 papers). Qi Shen is often cited by papers focused on Nanoplatforms for cancer theranostics (27 papers), Nanoparticle-Based Drug Delivery (20 papers) and Advanced Drug Delivery Systems (14 papers). Qi Shen collaborates with scholars based in China, Japan and United States. Qi Shen's co-authors include Jun Zhang, Yawen Wei, Tiantian Zuo, Siyu Ma, Jie Yang, Jianian Chen, Huizi Deng, Huijuan He, Shaoshun Li and Wang Zh and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and ACS Applied Materials & Interfaces.

In The Last Decade

Qi Shen

86 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Shen China 31 960 930 701 572 451 89 2.7k
Zhipeng Chen China 34 1.4k 1.4× 747 0.8× 987 1.4× 537 0.9× 370 0.8× 145 3.6k
Daquan Chen China 35 1.3k 1.3× 1.0k 1.1× 961 1.4× 438 0.8× 211 0.5× 121 3.5k
Ling Zhao China 32 1.0k 1.0× 472 0.5× 659 0.9× 384 0.7× 183 0.4× 95 2.7k
Ken‐ichi Ogawara Japan 31 1.0k 1.1× 548 0.6× 1.0k 1.4× 885 1.5× 229 0.5× 123 3.0k
Thiruganesh Ramasamy South Korea 38 1.4k 1.5× 1.2k 1.2× 1.7k 2.5× 871 1.5× 221 0.5× 60 3.6k
Meiwan Chen Macao 28 1.1k 1.1× 915 1.0× 553 0.8× 219 0.4× 228 0.5× 96 2.7k
Walhan Alshaer Jordan 29 2.0k 2.1× 730 0.8× 941 1.3× 474 0.8× 150 0.3× 119 3.8k
Ju Yeon Choi South Korea 30 895 0.9× 831 0.9× 1.2k 1.7× 541 0.9× 170 0.4× 51 2.4k
Mario Sechi Italy 41 1.5k 1.6× 604 0.6× 777 1.1× 223 0.4× 176 0.4× 96 4.0k
Yuling Liu China 30 1.0k 1.1× 387 0.4× 479 0.7× 403 0.7× 165 0.4× 112 2.6k

Countries citing papers authored by Qi Shen

Since Specialization
Citations

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

Fields of papers citing papers by Qi Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Shen. A scholar is included among the top collaborators of Qi Shen 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 Qi Shen. Qi Shen 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.
Ying, Jiadi, Zhen Cui, Liangcheng Tu, et al.. (2025). Polymers with intrinsic microporosity engineered via acid-base pairs for highly selective lithium-ion transport channels. Journal of Membrane Science. 741. 125059–125059. 1 indexed citations
3.
Ying, Jiadi, Zhen Cui, Tiancun Liu, et al.. (2025). Construction of ultrathin PANI nanostructure on cation-exchange membranes for selective lithium extraction. Desalination. 619. 119555–119555. 2 indexed citations
4.
5.
Wang, Shujie, Dong Chen, Xiang Ji, et al.. (2024). Multi-omics unveils tryptophan metabolic pathway as a key pathway influencing residual feed intake in Duroc swine. Frontiers in Veterinary Science. 11. 1403493–1403493. 1 indexed citations
6.
Huang, Yibing, Zhen Qi Kuai, Yanping Zhang, et al.. (2024). Ultrasensitive and rapid detection of organophosphates using a dual-signal naked-eye hydrogel sensor based on acetylcholinesterase inhibition. International Journal of Biological Macromolecules. 283(Pt 2). 137778–137778. 5 indexed citations
7.
Chen, Dong, Xiang Ji, Qi Shen, et al.. (2023). Genomic prediction of pig growth traits based on machine learning.. PubMed. 45(10). 922–932. 1 indexed citations
8.
Yang, Ning, et al.. (2023). Tetrahydrobiopterin inhibitor-based antioxidant metabolic strategy for enhanced cancer ferroptosis-immunotherapy. Journal of Colloid and Interface Science. 658. 100–113. 24 indexed citations
9.
Wang, Kai, Shujie Wang, Xiang Ji, et al.. (2023). Epigenome-wide association studies of meat traits in Chinese Yorkshire pigs highlights several DNA methylation loci and genes. Frontiers in Genetics. 13. 1028711–1028711. 3 indexed citations
10.
Yang, Jie, Siyu Ma, Rui Xu, et al.. (2021). Smart biomimetic metal organic frameworks based on ROS-ferroptosis-glycolysis regulation for enhanced tumor chemo-immunotherapy. Journal of Controlled Release. 334. 21–33. 153 indexed citations
11.
Qian, Yun, Jun Zhang, Rui Xu, et al.. (2021). Nanoparticles based on polymers modified with pH-sensitive molecular switch and low molecular weight heparin carrying Celastrol and ferrocene for breast cancer treatment. International Journal of Biological Macromolecules. 183. 2215–2226. 18 indexed citations
12.
13.
Liu, Lumei, et al.. (2016). Yi‐Zhi‐Fang‐Dai Formula Protects against Aβ1–42 Oligomer Induced Cell Damage via Increasing Hsp70 and Grp78 Expression in SH‐SY5Y Cells. Evidence-based Complementary and Alternative Medicine. 2016(1). 8591656–8591656. 4 indexed citations
14.
Zhu, Tao, et al.. (2014). Co-administration with cell penetrating peptide enhances the oral bioavailability of docetaxel-loaded nanoparticles. Drug Development and Industrial Pharmacy. 41(5). 764–771. 15 indexed citations
15.
Shen, Qi, et al.. (2013). Overexpression of TTRAP inhibits cell growth and induces apoptosis in osteosarcoma cells. BMB Reports. 46(2). 113–118. 15 indexed citations
16.
Wu, Jian, Qi Shen, & Liang Fang. (2012). Sulfobutylether-β-cyclodextrin/chitosan nanoparticles enhance the oral permeability and bioavailability of docetaxel. Drug Development and Industrial Pharmacy. 39(7). 1010–1019. 38 indexed citations
17.
Zhang, Yi, Ruirui Wang, Jian Wu, & Qi Shen. (2012). Characterization and evaluation of self-microemulsifying sustained-release pellet formulation of puerarin for oral delivery. International Journal of Pharmaceutics. 427(2). 337–344. 61 indexed citations
18.
Shen, Qi, Ying Wang, & Yi Zhang. (2011). Improvement of colchicine oral bioavailability by incorporating eugenol in the nanoemulsion as an oil excipient and enhancer. International Journal of Nanomedicine. 6. 1237–1237. 40 indexed citations
19.
Chen, Jianian, Shaoshun Li, Qi Shen, Huijuan He, & Yi Zhang. (2011). Enhanced cellular uptake of folic acid–conjugated PLGA–PEG nanoparticles loaded with vincristine sulfate in human breast cancer. Drug Development and Industrial Pharmacy. 37(11). 1339–1346. 36 indexed citations
20.
Zhao, Xinyi, et al.. (2010). An HPLC method for the pharmacokinetic study of daidzein-loaded nanoparticle formulations after injection to rats. Journal of Chromatography B. 879(1). 113–116. 11 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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