Si Chen

3.2k total citations · 1 hit paper
76 papers, 2.4k citations indexed

About

Si Chen is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Si Chen has authored 76 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 35 papers in Biomedical Engineering and 20 papers in Biomaterials. Recurrent topics in Si Chen's work include Nanoplatforms for cancer theranostics (23 papers), Advanced biosensing and bioanalysis techniques (23 papers) and RNA Interference and Gene Delivery (21 papers). Si Chen is often cited by papers focused on Nanoplatforms for cancer theranostics (23 papers), Advanced biosensing and bioanalysis techniques (23 papers) and RNA Interference and Gene Delivery (21 papers). Si Chen collaborates with scholars based in China, United States and Australia. Si Chen's co-authors include Xian‐Zheng Zhang, Ren‐Xi Zhuo, Min Zhou, Haobo Hou, Teng Wang, Si‐Xue Cheng, Xuli Li, Fangyuan Chen, Qiang He and Huicai Cheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Si Chen

72 papers receiving 2.4k citations

Hit Papers

Study on the adsorption of dyestuffs with different prope... 2019 2026 2021 2023 2019 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
Si Chen China 27 1.0k 889 514 491 308 76 2.4k
Pawan Kumar Mishra Czechia 25 1.1k 1.1× 324 0.4× 716 1.4× 851 1.7× 236 0.8× 71 2.9k
Yifan Zhao China 31 724 0.7× 436 0.5× 422 0.8× 504 1.0× 192 0.6× 130 3.4k
Xiang Wang China 25 1.0k 1.0× 660 0.7× 823 1.6× 671 1.4× 282 0.9× 89 2.3k
Fusheng Zhang China 31 313 0.3× 598 0.7× 288 0.6× 412 0.8× 264 0.9× 147 2.6k
Xiaolin Xu China 28 551 0.5× 620 0.7× 183 0.4× 433 0.9× 269 0.9× 112 2.2k
Kazuaki Ninomiya Japan 33 1.6k 1.6× 787 0.9× 757 1.5× 392 0.8× 117 0.4× 123 2.9k
Yuanyuan Guo China 28 769 0.8× 1.2k 1.4× 503 1.0× 346 0.7× 71 0.2× 98 2.7k
Jie Cao China 34 1.6k 1.6× 811 0.9× 723 1.4× 767 1.6× 86 0.3× 123 3.5k
Hiroo Tanaka Japan 29 388 0.4× 921 1.0× 283 0.6× 411 0.8× 185 0.6× 120 3.5k
Rui Xu China 30 916 0.9× 521 0.6× 371 0.7× 658 1.3× 121 0.4× 76 2.5k

Countries citing papers authored by Si Chen

Since Specialization
Citations

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

Fields of papers citing papers by Si Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Si Chen. A scholar is included among the top collaborators of Si Chen 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 Si Chen. Si Chen 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.
Chen, Si, Hao Chen, Xinxin Li, et al.. (2025). Dynamic Pathophysiological Insight into the Brain by NIR‐II Imaging. Advanced Science. 12(16). e2416390–e2416390. 2 indexed citations
2.
Wang, Wensong, Yong Li, Qianqian Liu, et al.. (2025). Metal-Polyphenol Self-Assembled Nanophotothermal Agent for Precise Mitochondrial Targeted Photothermal Therapy. Molecular Pharmaceutics. 22(5). 2545–2555.
3.
Chen, Yuqin, et al.. (2025). Hollow heterojunction nanocages of zeolitic imidazolate framework-8@zinc sulfide@copper sulfide for synergistic tumor therapy. Journal of Colloid and Interface Science. 695. 137811–137811.
4.
Jiang, Ru, Beibei Zhang, Shaobo Duan, et al.. (2025). Sonogenetics regulation of intelligent engineered bacteria to reverse immune escape. Materials Today Bio. 33. 102043–102043.
5.
Cheng, Kai, Xiao‐Ting Xie, Yong Li, et al.. (2024). Regulating copper homeostasis of tumor cells to promote cuproptosis for enhancing breast cancer immunotherapy. Nature Communications. 15(1). 10060–10060. 44 indexed citations
6.
Liu, Dandan, Yubo Yao, Lili Cheng, et al.. (2023). Genome-Wide Identification and Expression Pattern Analysis of the F5H Gene Family in Flax (Linum usitatissimum L.). Agronomy. 13(4). 1108–1108. 4 indexed citations
7.
Ma, Xiaoyu, et al.. (2023). Nucleus-Targeting Nanoplatform Based on Dendritic Peptide for Precise Photothermal Therapy. Polymers. 15(7). 1753–1753. 3 indexed citations
8.
Li, Hui, et al.. (2023). Achromatic and Resolution Enhancement Light Field Deep Neural Network for ZnO Nematic Liquid Crystal Microlens Array. SHILAP Revista de lepidopterología. 4(11). 2 indexed citations
10.
Chang, Baisong, et al.. (2022). Design strategies and applications of smart optical probes in the second near-infrared window. Advanced Drug Delivery Reviews. 192. 114637–114637. 32 indexed citations
11.
Zhang, Guiming, Shangcong Han, Lisheng Wang, et al.. (2022). A Ternary Synergistic eNOS Gene Delivery System Based on Calcium Ion and L-Arginine for Accelerating Angiogenesis by Maximizing NO Production. International Journal of Nanomedicine. Volume 17. 1987–2000. 16 indexed citations
12.
Chen, Si, Yongfeng Wang, Huicai Cheng, et al.. (2021). Identification of Propionate-Degrading Microbial Populations in Methanogenic Processes for Waste Treatment: Methanosaeta and Methanoculleus. Environmental Engineering Science. 39(3). 202–211. 5 indexed citations
13.
Shen, Zhidong & Si Chen. (2020). A Survey of Automatic Software Vulnerability Detection, Program Repair, and Defect Prediction Techniques. Security and Communication Networks. 2020. 1–16. 35 indexed citations
14.
Xu, Huo, Jue Wang, Hongwen Cao, et al.. (2020). Label-free detection of cancer related gene based on target recycling and palindrome-mediated strand displacement amplification. Talanta. 215. 120897–120897. 11 indexed citations
16.
Li, Congcong, Si Chen, Jie Yang, et al.. (2020). Structural requirement of G-quadruplex/aptamer-combined DNA macromolecule serving as efficient drug carrier for cancer-targeted drug delivery. European Journal of Pharmaceutics and Biopharmaceutics. 159. 221–227. 11 indexed citations
17.
Chen, Chao, Lianrong Wang, Si Chen, et al.. (2017). Convergence of DNA methylation and phosphorothioation epigenetics in bacterial genomes. Proceedings of the National Academy of Sciences. 114(17). 4501–4506. 59 indexed citations
18.
Chu, Qian, Xun Yuan, Wenxiang Ji, et al.. (2016). A novel paclitaxel-loaded poly(D,L-lactide-co-glycolide)-Tween 80 copolymer nanoparticle overcoming multidrug resistance for lung cancer treatment. International Journal of Nanomedicine. 11. 2119–2119. 26 indexed citations
19.
Ding, Fuyuan, Xiaowen Shi, Zhiwei Jiang, et al.. (2013). Electrochemically stimulated drug release from dual stimuli responsive chitin hydrogel. Journal of Materials Chemistry B. 1(12). 1729–1729. 66 indexed citations
20.
Chen, Si, Feng Li, Ren‐Xi Zhuo, & Si‐Xue Cheng. (2011). Efficient non-viral gene delivery mediated by nanostructured calcium carbonate in solution-based transfection and solid-phase transfection. Molecular BioSystems. 7(10). 2841–2847. 30 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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