Zhen‐Gang Wang

4.8k total citations · 1 hit paper
79 papers, 4.1k citations indexed

About

Zhen‐Gang Wang is a scholar working on Molecular Biology, Materials Chemistry and Biomaterials. According to data from OpenAlex, Zhen‐Gang Wang has authored 79 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 21 papers in Materials Chemistry and 20 papers in Biomaterials. Recurrent topics in Zhen‐Gang Wang's work include Advanced biosensing and bioanalysis techniques (54 papers), RNA Interference and Gene Delivery (29 papers) and DNA and Nucleic Acid Chemistry (21 papers). Zhen‐Gang Wang is often cited by papers focused on Advanced biosensing and bioanalysis techniques (54 papers), RNA Interference and Gene Delivery (29 papers) and DNA and Nucleic Acid Chemistry (21 papers). Zhen‐Gang Wang collaborates with scholars based in China, Israel and United States. Zhen‐Gang Wang's co-authors include Baoquan Ding, Itamar Willner, Johann Elbaz, Qing Liu, Song Chen, Qiao Jiang, Pengfei Zhan, Jianbing Liu, Qiao Jiang and Shaoli Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Zhen‐Gang Wang

77 papers receiving 4.1k citations

Hit Papers

DNA Origami as a Carrier for Circumvention of Drug Resist... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen‐Gang Wang China 34 3.3k 1.2k 839 567 444 79 4.1k
Liping Qiu China 43 4.7k 1.4× 2.4k 2.0× 930 1.1× 545 1.0× 279 0.6× 117 5.8k
Cuichen Wu China 39 4.4k 1.3× 2.1k 1.8× 1.1k 1.4× 785 1.4× 317 0.7× 54 5.6k
Chenxiang Lin United States 35 3.9k 1.2× 1.4k 1.2× 864 1.0× 312 0.6× 302 0.7× 95 5.1k
Yanrong Wu China 18 3.0k 0.9× 1.5k 1.2× 1.1k 1.4× 277 0.5× 348 0.8× 30 3.8k
Zhiwen Tang United States 21 4.1k 1.3× 2.0k 1.7× 835 1.0× 244 0.4× 219 0.5× 31 4.7k
Alessandro Cecconello Israel 25 2.0k 0.6× 902 0.7× 835 1.0× 490 0.9× 214 0.5× 49 3.0k
Jian Zhao China 32 2.9k 0.9× 2.0k 1.6× 1.1k 1.3× 562 1.0× 141 0.3× 82 4.2k
Huaizhi Kang China 25 2.3k 0.7× 1.2k 1.0× 839 1.0× 491 0.9× 266 0.6× 31 3.1k
Veikko Linko Finland 36 3.6k 1.1× 1.6k 1.3× 317 0.4× 302 0.5× 333 0.8× 86 4.1k
Ron Orbach Israel 29 2.4k 0.7× 963 0.8× 497 0.6× 821 1.4× 124 0.3× 34 3.2k

Countries citing papers authored by Zhen‐Gang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhen‐Gang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen‐Gang Wang. 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 Zhen‐Gang Wang. The network helps show where Zhen‐Gang Wang may publish in the future.

Co-authorship network of co-authors of Zhen‐Gang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen‐Gang Wang. A scholar is included among the top collaborators of Zhen‐Gang Wang 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 Zhen‐Gang Wang. Zhen‐Gang Wang 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
2.
Ye, Jiahui, Xinyi Wu, Jin Liu, et al.. (2025). An Effective Oral Drug Delivery Route for Pharmacokinetic Complications: Spirulina Lipid Nanotechnology System. Advanced Science. 12(44). e09731–e09731.
3.
Wang, Xinyue, et al.. (2024). Dynamic control of His-hemin coordination and catalysis by reversible host–guest inclusion in peptide assemblies. Journal of Colloid and Interface Science. 678(Pt A). 421–426. 2 indexed citations
4.
Du, Ruikai, et al.. (2024). Enhancing DNA-based nanodevices activation through cationic peptide acceleration of strand displacement. Nanoscale Horizons. 9(9). 1582–1586.
5.
Xu, Shichao, et al.. (2024). Self-Assembled G-fold DNA/Amino Acid Amphiphiles-Based Oxidase-Mimetic Materials Exhibiting Drug-Degrading and Photoswitchable Capabilities. Chemistry of Materials. 36(9). 4357–4367. 2 indexed citations
6.
Lou, Yi, Baoli Zhang, Xiangyu Ye, & Zhen‐Gang Wang. (2023). Self-assembly of the de novo designed peptides to produce supramolecular catalysts with built-in enzyme-like active sites: a review of structure–activity relationship. Materials Today Nano. 21. 100302–100302. 24 indexed citations
7.
Liu, Junhong, et al.. (2023). Colorimetric Sensor Based on the Oxidase-Mimic Supramolecular Catalyst for Selective and Sensitive Biomolecular Detection. ACS Applied Materials & Interfaces. 15(42). 48945–48951. 3 indexed citations
8.
Xu, Shichao, Haifeng Wu, Siyuan Liu, et al.. (2023). A supramolecular metalloenzyme possessing robust oxidase-mimetic catalytic function. Nature Communications. 14(1). 4040–4040. 38 indexed citations
9.
Wu, Haifeng, et al.. (2023). A nucleotide–copper(ii) complex possessing a monooxygenase-like catalytic function. Journal of Materials Chemistry B. 11(30). 7117–7125. 4 indexed citations
10.
Wu, Haifeng, et al.. (2022). Switchable Enzyme-mimicking catalysts Self-Assembled from de novo designed peptides and DNA G-quadruplex/hemin complex. Journal of Colloid and Interface Science. 628(Pt A). 1004–1011. 18 indexed citations
11.
Jiang, Qiao, Qing Liu, Yuefeng Shi, et al.. (2017). Stimulus-Responsive Plasmonic Chiral Signals of Gold Nanorods Organized on DNA Origami. Nano Letters. 17(11). 7125–7130. 122 indexed citations
12.
Wang, Zhen‐Gang, et al.. (2015). Tunable optical activity of plasmonic dimers assembled by DNA origami. Nanoscale. 7(20). 9147–9152. 29 indexed citations
13.
Wang, Zhen‐Gang & Baoquan Ding. (2013). DNA‐Based Self‐Assembly for Functional Nanomaterials. Advanced Materials. 25(28). 3905–3914. 85 indexed citations
14.
Chen, Song, Zhen‐Gang Wang, & Baoquan Ding. (2013). Smart Nanomachines Based on DNA Self‐Assembly. Small. 9(14). 2382–2392. 49 indexed citations
15.
Zhan, Pengfei, Jin‐Ye Wang, Zhen‐Gang Wang, & Baoquan Ding. (2013). Engineering the pH‐Responsive Catalytic Behavior of AuNPs by DNA. Small. 10(2). 399–406. 103 indexed citations
16.
Jiang, Qiao, Zhen‐Gang Wang, & Baoquan Ding. (2013). Programmed Colorimetric Logic Devices Based on DNA–Gold Nanoparticle Interactions. Small. 9(7). 1016–1020. 25 indexed citations
17.
Liu, Qing, Song Chen, Zhen‐Gang Wang, Na Li, & Baoquan Ding. (2013). Precise organization of metal nanoparticles on DNA origami template. Methods. 67(2). 205–214. 44 indexed citations
18.
Jiang, Qiao, Song Chen, Jeanette Nangreave, et al.. (2012). DNA Origami as a Carrier for Circumvention of Drug Resistance. Journal of the American Chemical Society. 134(32). 13396–13403. 619 indexed citations breakdown →
19.
Wang, Zhen‐Gang, Johann Elbaz, F. Remacle, R. D. Levine, & Itamar Willner. (2010). All-DNA finite-state automata with finite memory. Proceedings of the National Academy of Sciences. 107(51). 21996–22001. 107 indexed citations
20.
Li, Mei, et al.. (2010). Evaluation of salivary gland scintigraphy, magnetic resonance and diffusion-weighted imaging in clinical diagnosis of Sjgrens Syndrome. African Journal of Microbiology Research. 4(9). 722–729. 4 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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