Qianshun Li

2.0k total citations · 1 hit paper
17 papers, 1.7k citations indexed

About

Qianshun Li is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Qianshun Li has authored 17 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Biomedical Engineering. Recurrent topics in Qianshun Li's work include Advanced biosensing and bioanalysis techniques (10 papers), RNA Interference and Gene Delivery (9 papers) and DNA and Nucleic Acid Chemistry (6 papers). Qianshun Li is often cited by papers focused on Advanced biosensing and bioanalysis techniques (10 papers), RNA Interference and Gene Delivery (9 papers) and DNA and Nucleic Acid Chemistry (6 papers). Qianshun Li collaborates with scholars based in China and Myanmar. Qianshun Li's co-authors include Yunfeng Lin, Xiaoru Shao, Xueping Xie, Sirong Shi, Shiyu Lin, Jinfeng Liao, Dan Zhao, Mengting Liu, Yuxin Zhang and Tao Zhang and has published in prestigious journals such as Nano Letters, Chemical Communications and Scientific Reports.

In The Last Decade

Qianshun Li

17 papers receiving 1.6k citations

Hit Papers

Design, fabrication and applications of tetrahedral DNA n... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qianshun Li China 15 1.1k 476 282 257 155 17 1.7k
Frederic Ducongè France 26 1.2k 1.1× 414 0.9× 281 1.0× 198 0.8× 103 0.7× 55 1.8k
Cherlhyun Jeong South Korea 22 1.1k 1.0× 516 1.1× 187 0.7× 215 0.8× 213 1.4× 55 1.7k
Hualin Fu China 26 889 0.8× 561 1.2× 231 0.8× 481 1.9× 316 2.0× 46 1.9k
Sharon M. Sagnella Australia 27 774 0.7× 470 1.0× 786 2.8× 216 0.8× 101 0.7× 45 1.8k
Ying Chau Hong Kong 28 1.2k 1.1× 552 1.2× 874 3.1× 199 0.8× 87 0.6× 92 2.4k
Jon J. Ladd United States 18 1.1k 1.0× 678 1.4× 190 0.7× 104 0.4× 117 0.8× 25 2.1k
Joshua J. Rennick Australia 5 706 0.6× 362 0.8× 323 1.1× 209 0.8× 56 0.4× 5 1.3k
Maaike Everts United States 24 965 0.9× 444 0.9× 239 0.8× 205 0.8× 111 0.7× 48 1.9k
Amir K. Varkouhi Netherlands 12 1.4k 1.3× 498 1.0× 592 2.1× 193 0.8× 129 0.8× 17 2.0k
Nuria Oliva United Kingdom 14 670 0.6× 821 1.7× 688 2.4× 210 0.8× 165 1.1× 21 1.7k

Countries citing papers authored by Qianshun Li

Since Specialization
Citations

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

Fields of papers citing papers by Qianshun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianshun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qianshun Li. A scholar is included among the top collaborators of Qianshun Li 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 Qianshun Li. Qianshun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Li, Qianshun, et al.. (2022). Three-Dimensional Dynamic Visualization Simulation of Underground Mining Engineering considering Chaos Optimization of Symmetric Varieties. Mobile Information Systems. 2022. 1–7. 3 indexed citations
2.
Zhang, Tao, Taoran Tian, Ronghui Zhou, et al.. (2020). Design, fabrication and applications of tetrahedral DNA nanostructure-based multifunctional complexes in drug delivery and biomedical treatment. Nature Protocols. 15(8). 2728–2757. 337 indexed citations breakdown →
3.
Zhang, Yuxin, Wenjuan Ma, Ying Zhu, et al.. (2018). Inhibiting Methicillin-Resistant Staphylococcus aureus by Tetrahedral DNA Nanostructure-Enabled Antisense Peptide Nucleic Acid Delivery. Nano Letters. 18(9). 5652–5659. 128 indexed citations
4.
Shao, Xiaoru, Wenjuan Ma, Xueping Xie, et al.. (2018). Neuroprotective Effect of Tetrahedral DNA Nanostructures in a Cell Model of Alzheimer’s Disease. ACS Applied Materials & Interfaces. 10(28). 23682–23692. 56 indexed citations
5.
Zhao, Dan, Mengting Liu, Qianshun Li, et al.. (2018). Tetrahedral DNA Nanostructure Promotes Endothelial Cell Proliferation, Migration, and Angiogenesis via Notch Signaling Pathway. ACS Applied Materials & Interfaces. 10(44). 37911–37918. 49 indexed citations
6.
Shi, Sirong, Shiyu Lin, Tao Zhang, et al.. (2018). Effects of tetrahedral DNA nanostructures on autophagy in chondrocytes. Chemical Communications. 54(11). 1327–1330. 67 indexed citations
7.
Ma, Wenjuan, Xiaoru Shao, Dan Zhao, et al.. (2018). Self-Assembled Tetrahedral DNA Nanostructures Promote Neural Stem Cell Proliferation and Neuronal Differentiation. ACS Applied Materials & Interfaces. 10(9). 7892–7900. 105 indexed citations
8.
Ma, Wenjuan, Xueping Xie, Xiaoru Shao, et al.. (2018). Tetrahedral DNA nanostructures facilitate neural stem cell migration via activating RHOA/ROCK2 signalling pathway. Cell Proliferation. 51(6). e12503–e12503. 54 indexed citations
9.
Zhao, Dan, Qianshun Li, Mengting Liu, et al.. (2018). Substrate stiffness regulated migration and invasion ability of adenoid cystic carcinoma cells via RhoA/ROCK pathway. Cell Proliferation. 51(3). e12442–e12442. 26 indexed citations
10.
Liu, Mengting, Wenjuan Ma, Qianshun Li, et al.. (2018). Aptamer‐targeted DNA nanostructures with doxorubicin to treat protein tyrosine kinase 7‐positive tumours. Cell Proliferation. 52(1). e12511–e12511. 66 indexed citations
11.
Xie, Xueping, Jinfeng Liao, Xiaoru Shao, Qianshun Li, & Yunfeng Lin. (2017). The Effect of shape on Cellular Uptake of Gold Nanoparticles in the forms of Stars, Rods, and Triangles. Scientific Reports. 7(1). 3827–3827. 363 indexed citations
12.
Li, Qianshun, Dan Zhao, Xiaoru Shao, et al.. (2017). Aptamer-Modified Tetrahedral DNA Nanostructure for Tumor-Targeted Drug Delivery. ACS Applied Materials & Interfaces. 9(42). 36695–36701. 162 indexed citations
13.
Liu, Mengting, Liying Hao, Qian Huang, et al.. (2017). Tea Polyphenol-Reduced Graphene Oxide Deposition on Titanium Surface Enhances Osteoblast Bioactivity. Journal of Nanoscience and Nanotechnology. 18(5). 3134–3140. 14 indexed citations
14.
Zhao, Dan, Changyue Xue, Qianshun Li, et al.. (2017). Substrate stiffness regulated migration and angiogenesis potential of A549 cells and HUVECs. Journal of Cellular Physiology. 233(4). 3407–3417. 54 indexed citations
15.
Shi, Sirong, Shiyu Lin, Xiaoru Shao, et al.. (2017). Modulation of chondrocyte motility by tetrahedral DNA nanostructures. Cell Proliferation. 50(5). 65 indexed citations
16.
Zhao, Dan, Changyue Xue, Shiyu Lin, et al.. (2016). Notch Signaling Pathway Regulates Angiogenesis via Endothelial Cell in 3D Co‐Culture Model. Journal of Cellular Physiology. 232(6). 1548–1558. 28 indexed citations
17.
Shi, Sirong, Qiang Peng, Xiaoru Shao, et al.. (2016). Self-Assembled Tetrahedral DNA Nanostructures Promote Adipose-Derived Stem Cell Migration via lncRNA XLOC 010623 and RHOA/ROCK2 Signal Pathway. ACS Applied Materials & Interfaces. 8(30). 19353–19363. 81 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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