Jizhe Deng

855 total citations
9 papers, 734 citations indexed

About

Jizhe Deng is a scholar working on Molecular Biology, Genetics and Organic Chemistry. According to data from OpenAlex, Jizhe Deng has authored 9 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Organic Chemistry. Recurrent topics in Jizhe Deng's work include RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Virus-based gene therapy research (3 papers). Jizhe Deng is often cited by papers focused on RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Virus-based gene therapy research (3 papers). Jizhe Deng collaborates with scholars based in China and Hong Kong. Jizhe Deng's co-authors include Lintao Cai, Yifan Ma, Huqiang Yi, Yijuan Zhang, Ren‐Xi Zhuo, Yunxia Sun, Xian‐Zheng Zhang, Shu Fang, Cao Li and Lei Wu and has published in prestigious journals such as Journal of the American Chemical Society, Biomaterials and ACS Applied Materials & Interfaces.

In The Last Decade

Jizhe Deng

9 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jizhe Deng China 9 485 250 237 115 82 9 734
Bart Lucas Belgium 15 444 0.9× 270 1.1× 311 1.3× 117 1.0× 80 1.0× 23 900
Laura I. Selby Australia 6 568 1.2× 251 1.0× 220 0.9× 80 0.7× 65 0.8× 8 807
Taewon Jeon United States 14 600 1.2× 208 0.8× 274 1.2× 120 1.0× 75 0.9× 29 898
Ethlinn V.B. van Gaal Netherlands 12 681 1.4× 317 1.3× 256 1.1× 65 0.6× 131 1.6× 14 948
Junxiao Ye China 17 516 1.1× 229 0.9× 176 0.7× 82 0.7× 58 0.7× 23 864
Víctor Ramos Spain 15 540 1.1× 171 0.7× 198 0.8× 59 0.5× 128 1.6× 28 810
Wuji Cao United States 9 346 0.7× 174 0.7× 156 0.7× 62 0.5× 65 0.8× 10 593
Thomas Martens Belgium 12 638 1.3× 271 1.1× 205 0.9× 106 0.9× 91 1.1× 13 960
Kunal V. Gujraty United States 11 334 0.7× 233 0.9× 154 0.6× 66 0.6× 64 0.8× 11 662
Kevin Buyens Belgium 11 805 1.7× 290 1.2× 163 0.7× 49 0.4× 122 1.5× 12 973

Countries citing papers authored by Jizhe Deng

Since Specialization
Citations

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

Fields of papers citing papers by Jizhe Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jizhe Deng

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

All Works

9 of 9 papers shown
1.
Li, Mingxing, Peng Liu, Guanhui Gao, et al.. (2015). Smac Therapeutic Peptide Nanoparticles Inducing Apoptosis of Cancer Cells for Combination Chemotherapy with Doxorubicin. ACS Applied Materials & Interfaces. 7(15). 8005–8012. 31 indexed citations
2.
Luo, Zichao, Ping Li, Jizhe Deng, et al.. (2013). Cationic polypeptide micelle-based antigen delivery system: A simple and robust adjuvant to improve vaccine efficacy. Journal of Controlled Release. 170(2). 259–267. 73 indexed citations
3.
Zheng, Chao, Mingbin Zheng, Ping Gong, et al.. (2013). Polypeptide cationic micelles mediated co-delivery of docetaxel and siRNA for synergistic tumor therapy. Biomaterials. 34(13). 3431–3438. 171 indexed citations
4.
Wu, Lei, et al.. (2013). Hybrid Polypeptide Micelles Loading Indocyanine Green for Tumor Imaging and Photothermal Effect Study. Biomacromolecules. 14(9). 3027–3033. 119 indexed citations
5.
Wang, Huiyuan, Yunxia Sun, Jizhe Deng, et al.. (2012). Effect of peptides and their introduction methods on target gene transfer of gene vector based on disulfide-containing polyethyleneimine. International Journal of Pharmaceutics. 438(1-2). 191–201. 8 indexed citations
6.
Deng, Jizhe, Ningning Gao, Yanan Wang, et al.. (2012). Self-Assembled Cationic Micelles Based on PEG-PLL-PLLeu Hybrid Polypeptides as Highly Effective Gene Vectors. Biomacromolecules. 13(11). 3795–3804. 75 indexed citations
7.
Zhang, Pengfei, Shuhui Liu, Duyang Gao, et al.. (2012). Click-Functionalized Compact Quantum Dots Protected by Multidentate-Imidazole Ligands: Conjugation-Ready Nanotags for Living-Virus Labeling and Imaging. Journal of the American Chemical Society. 134(20). 8388–8391. 114 indexed citations
8.
Deng, Jizhe, Yunxia Sun, Huiyuan Wang, et al.. (2011). Poly(β-amino amine) cross-linked PEIs as highly efficient gene vectors. Acta Biomaterialia. 7(5). 2200–2208. 23 indexed citations
9.
Wang, Huiyuan, Jingxiao Chen, Yunxia Sun, et al.. (2010). Construction of cell penetrating peptide vectors with N-terminal stearylated nuclear localization signal for targeted delivery of DNA into the cell nuclei. Journal of Controlled Release. 155(1). 26–33. 120 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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