Zhimou Yang

19.0k total citations · 2 hit papers
261 papers, 16.9k citations indexed

About

Zhimou Yang is a scholar working on Biomaterials, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Zhimou Yang has authored 261 papers receiving a total of 16.9k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Biomaterials, 144 papers in Molecular Biology and 71 papers in Organic Chemistry. Recurrent topics in Zhimou Yang's work include Supramolecular Self-Assembly in Materials (175 papers), RNA Interference and Gene Delivery (63 papers) and Nanoplatforms for cancer theranostics (38 papers). Zhimou Yang is often cited by papers focused on Supramolecular Self-Assembly in Materials (175 papers), RNA Interference and Gene Delivery (63 papers) and Nanoplatforms for cancer theranostics (38 papers). Zhimou Yang collaborates with scholars based in China, Hong Kong and United States. Zhimou Yang's co-authors include Bing Xu, Gaolin Liang, Huaimin Wang, Hongwei Gu, Ling Wang, Jie Gao, Deling Kong, Chi K. Chang, Jie Zhan and Ping Gao and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Advanced Materials.

In The Last Decade

Zhimou Yang

256 papers receiving 16.8k citations

Hit Papers

Enzymatic Hydrogelation o... 2004 2026 2011 2018 2008 2004 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhimou Yang 11.7k 8.1k 5.2k 3.9k 3.6k 261 16.9k
Xuehai Yan 11.1k 1.0× 7.2k 0.9× 5.8k 1.1× 8.8k 2.3× 8.8k 2.5× 258 22.9k
Honggang Cui 8.6k 0.7× 6.0k 0.7× 5.5k 1.1× 3.1k 0.8× 3.1k 0.9× 167 14.3k
Ren‐Xi Zhuo 11.7k 1.0× 7.2k 0.9× 6.2k 1.2× 3.3k 0.8× 7.2k 2.0× 549 22.5k
Darrin J. Pochan 11.2k 1.0× 6.4k 0.8× 8.4k 1.6× 4.8k 1.2× 2.6k 0.7× 183 19.2k
Gaolin Liang 5.3k 0.5× 6.0k 0.7× 2.6k 0.5× 4.0k 1.0× 4.8k 1.3× 232 13.0k
Lichen Yin 4.5k 0.4× 5.3k 0.7× 1.9k 0.4× 1.7k 0.4× 3.5k 1.0× 195 11.6k
Rein V. Ulijn 13.7k 1.2× 8.9k 1.1× 7.5k 1.4× 3.9k 1.0× 2.7k 0.7× 232 18.3k
Zhiyuan Zhong 16.4k 1.4× 9.8k 1.2× 6.8k 1.3× 3.1k 0.8× 10.4k 2.9× 366 27.6k
Harm‐Anton Klok 6.6k 0.6× 5.0k 0.6× 8.2k 1.6× 3.6k 0.9× 4.2k 1.2× 240 18.8k
Fenghua Meng 11.8k 1.0× 7.1k 0.9× 4.8k 0.9× 2.5k 0.7× 7.9k 2.2× 227 19.1k

Countries citing papers authored by Zhimou Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhimou Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhimou Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhimou Yang. A scholar is included among the top collaborators of Zhimou Yang 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 Zhimou Yang. Zhimou Yang 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.
Dong, Yi, Ping Lu, Zhimou Yang, et al.. (2025). Enhanced Corneal Wound Healing and Neovascularization Suppression via AME-SupraGel: A Biocompatible Hydrogel with Sustained Release and Stability. ACS Biomaterials Science & Engineering. 11(12). 7399–7411.
2.
Xie, Li‐Min, et al.. (2024). A two-component peptide-based hydrogel for endometrial repair and restoring fertility. Chinese Chemical Letters. 36(10). 110800–110800. 1 indexed citations
3.
Zheng, Debin, Yinghao Ding, Jingfei Liu, et al.. (2024). Supramolecular Nanofibers Ameliorate Bleomycin‐Induced Pulmonary Fibrosis by Restoring Autophagy. Advanced Science. 11(28). e2401327–e2401327. 9 indexed citations
4.
Zhang, Xiangyang, Ying Zhang, Yinghao Ding, et al.. (2024). Copper‐Induced Supramolecular Peptide Assemblies for Multi‐Pathway Cell Death and Tumor Inhibition. Angewandte Chemie International Edition. 63(34). e202406602–e202406602. 12 indexed citations
5.
Shang, Yuna, et al.. (2024). A dual-targeted trinity of antibody–peptide–drug delivery consortium to combat HER2+ tumor. Chemical Communications. 60(93). 13742–13745. 2 indexed citations
7.
Wang, Zhongyan, Yuna Shang, Cuihong Yang, et al.. (2023). Achieving higher hierarchical structures by cooperative assembly of tripeptides with reverse sequences. Nanoscale. 15(16). 7502–7509. 6 indexed citations
8.
Ma, Chuanrui, Ke Feng, Xiaoxiao Yang, et al.. (2021). Targeting macrophage liver X receptors by hydrogel‐encapsulated T0901317 reduces atherosclerosis without effect on hepatic lipogenesis. British Journal of Pharmacology. 178(7). 1620–1638. 21 indexed citations
9.
Liu, Mohan, Zhongyan Wang, Dandan Feng, et al.. (2021). An Insulin‐Inspired Supramolecular Hydrogel for Prevention of Type 1 Diabetes. Advanced Science. 8(10). 2003599–2003599. 38 indexed citations
10.
Li, Jun, Yuan Fang, Yufan Zhang, et al.. (2021). Supramolecular Self‐Assembly‐Facilitated Aggregation of Tumor‐Specific Transmembrane Receptors for Signaling Activation and Converting Immunologically Cold to Hot Tumors. Advanced Materials. 33(16). e2008518–e2008518. 99 indexed citations
11.
Xu, Yan, Youzhi Wang, Quanli Yang, et al.. (2019). A versatile supramolecular nanoadjuvant that activates NF-κB for cancer immunotherapy. Theranostics. 9(11). 3388–3397. 28 indexed citations
12.
Du, Xuewen, Jie Zhou, Junfeng Shi, et al.. (2017). In situ generated D‐peptidic nanofibrils as multifaceted apoptotic inducers to target cancer cells. Cell Death and Disease. 8(2). e2614–e2614. 47 indexed citations
13.
Wang, Huaimin, Zhaoqianqi Feng, Youzhi Wang, et al.. (2016). Integrating Enzymatic Self-Assembly and Mitochondria Targeting for Selectively Killing Cancer Cells without Acquired Drug Resistance. Journal of the American Chemical Society. 138(49). 16046–16055. 276 indexed citations
14.
Li, Dongxia, et al.. (2012). A novel mixed-component molecular hydrogel system with excellent stabilities. Chemical Communications. 48(49). 6175–6175. 16 indexed citations
15.
Wang, Weiping, et al.. (2008). Controlling self-assembly within nanospace for peptide nanoparticle fabrication. Soft Matter. 4(8). 1617–1617. 51 indexed citations
16.
Yang, Zhimou. (2007). Study on Growth and Development Law of Drepanostachyum ludianense. Anhui nongye kexue. 1 indexed citations
17.
Yang, Zhimou & Wei Wang. (2005). Determination of Hyperoside,Isoquerditrin and Quercitrin-3'-glucoside in Flos Abelmoschus manihot of Different Areas by HPLC. 3 indexed citations
18.
Yang, Zhimou. (2004). Advance on the Study of Transcription Factors in Higher Plants. 3 indexed citations
19.
Yang, Zhimou. (2003). The Effects of Air Pollution on Cinnamomun Camphora. 1 indexed citations
20.
Yang, Zhimou. (2003). Synthesis and Characterization of 2-Chloro-2-oxo-1,3,2-dioxaphospholanes Containing Hydroxyl Group and Corresponding Phosphorylcholines. Chemical Research in Chinese Universities. 1 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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