He Zhang

2.6k total citations
85 papers, 2.1k citations indexed

About

He Zhang is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, He Zhang has authored 85 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 22 papers in Biomaterials and 19 papers in Biomedical Engineering. Recurrent topics in He Zhang's work include Electrospun Nanofibers in Biomedical Applications (14 papers), Polymer Surface Interaction Studies (12 papers) and RNA Interference and Gene Delivery (10 papers). He Zhang is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (14 papers), Polymer Surface Interaction Studies (12 papers) and RNA Interference and Gene Delivery (10 papers). He Zhang collaborates with scholars based in China, United States and Portugal. He Zhang's co-authors include Jian Ji, Ke‐feng Ren, Hao Chang, Xuehai Yan, Anhe Wang, Junbai Li, Jinbo Fei, Ying Lü, Mi Hu and Yanqiang Zhong and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

He Zhang

83 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
He Zhang China 26 698 673 645 355 339 85 2.1k
Beom Jin Kim South Korea 23 500 0.7× 542 0.8× 486 0.8× 312 0.9× 212 0.6× 63 1.7k
Cheol‐Hee Ahn South Korea 29 931 1.3× 805 1.2× 762 1.2× 412 1.2× 247 0.7× 91 2.7k
Lin Yue Lanry Yung Singapore 19 709 1.0× 669 1.0× 295 0.5× 143 0.4× 262 0.8× 31 1.6k
Jianwen Hou China 28 431 0.6× 689 1.0× 443 0.7× 115 0.3× 209 0.6× 72 1.9k
Larry D. Unsworth Canada 25 1.3k 1.9× 809 1.2× 1.1k 1.8× 384 1.1× 681 2.0× 107 3.1k
Tomoya Suma Australia 23 860 1.2× 719 1.1× 854 1.3× 314 0.9× 393 1.2× 28 2.5k
Olga Janoušková Czechia 28 809 1.2× 756 1.1× 569 0.9× 350 1.0× 158 0.5× 102 2.2k
Juno Lee South Korea 18 542 0.8× 619 0.9× 409 0.6× 159 0.4× 341 1.0× 32 1.6k
Qingming Ma China 27 608 0.9× 1.3k 1.9× 432 0.7× 161 0.5× 144 0.4× 63 2.4k
Zimu Li China 22 910 1.3× 1.6k 2.4× 673 1.0× 157 0.4× 268 0.8× 45 2.9k

Countries citing papers authored by He Zhang

Since Specialization
Citations

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

Fields of papers citing papers by He Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of He Zhang. A scholar is included among the top collaborators of He Zhang 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 He Zhang. He Zhang 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.
Xiong, Liu, et al.. (2025). Machine learning for predicting retention times of chiral analytes chromatographically separated by CMPA technique. Journal of Chromatography A. 1749. 465896–465896. 3 indexed citations
2.
Zhang, He, et al.. (2024). Machine learning for predicting separation factors of chiral diphosphine ligands in chiral extraction of amino acid and mandelic acid enantiomers. Separation and Purification Technology. 355. 129797–129797. 6 indexed citations
3.
Sana, Sravani, He Zhang, Shinichi Sato, et al.. (2024). Hexafluoroisopropanol as a Bioconjugation Medium of Ultrafast, Tryptophan-Selective Catalysis. Journal of the American Chemical Society. 146(10). 6773–6783. 13 indexed citations
4.
Zhang, He, Shuli Wang, Anna M. Wu, et al.. (2023). Development of 18F-Labeled hydrophilic trans-cyclooctene as a bioorthogonal tool for PET probe construction. Chemical Communications. 59(97). 14387–14390. 3 indexed citations
5.
Zheng, Jing, Tao Chen, Xinxin Xu, et al.. (2023). Nanotube patterning reduces macrophage inflammatory response via nuclear mechanotransduction. Journal of Nanobiotechnology. 21(1). 229–229. 15 indexed citations
6.
Wu, Xuedan, Yaofeng Desmond Zhong, Wei Chen, et al.. (2023). Development of [18F]F-5-OMe-Tryptophans through Photoredox Radiofluorination: A New Method to Access Tryptophan-Based PET Agents. Journal of Medicinal Chemistry. 66(5). 3262–3272. 7 indexed citations
7.
Ma, Wenjie, Yuchen Wu, Jinyan Li, et al.. (2023). A hairpin-contained i-motif guided DNA nanoantenna for sensitive and specific sensing of tumor extracellular pH gradients. The Analyst. 149(2). 435–441. 1 indexed citations
8.
Wang, Chuanqi, He Zhang, Tao Zhang, et al.. (2021). Enabling In Vivo Photocatalytic Activation of Rapid Bioorthogonal Chemistry by Repurposing Silicon-Rhodamine Fluorophores as Cytocompatible Far-Red Photocatalysts. Journal of the American Chemical Society. 143(28). 10793–10803. 75 indexed citations
9.
Si, Xiao‐Ju, et al.. (2020). Thiocarbamate‐directed Cp*Co(III)‐Catalyzed Olefinic C−H Amidation: Facile Access to Enamines with High (Z)‐Selectivity. European Journal of Organic Chemistry. 2021(4). 694–700. 8 indexed citations
10.
Ravikrishnan, Anitha, He Zhang, Joseph M. Fox, & Xinqiao Jia. (2020). Core–Shell Microfibers via Bioorthogonal Layer-by-Layer Assembly. ACS Macro Letters. 9(9). 1369–1375. 12 indexed citations
11.
Wang, Jing, Yunfan Xue, Jun Liu, et al.. (2020). Hierarchical Capillary Coating to Biofunctionlize Drug-Eluting Stent for Improving Endothelium Regeneration. Research. 2020. 1458090–1458090. 25 indexed citations
12.
Zhang, He, Junjie Huang, Jing Wang, et al.. (2019). Surface-Mediated Stimuli-Responsive Gene Delivery Based on Breath Figure Film Combined with Matrix Metalloproteinase-Sensitive Hydrogel. ACS Biomaterials Science & Engineering. 5(12). 6610–6616. 9 indexed citations
13.
Wang, Jing, Ke‐feng Ren, Yifan Gao, et al.. (2019). Photothermal Spongy Film for Enhanced Surface-Mediated Transfection to Primary Cells. ACS Applied Bio Materials. 2(6). 2676–2684. 16 indexed citations
14.
Ren, Ke‐feng, Mi Hu, He Zhang, et al.. (2019). Layer-by-layer assembly as a robust method to construct extracellular matrix mimic surfaces to modulate cell behavior. Progress in Polymer Science. 92. 1–34. 60 indexed citations
15.
Zhang, He, Jing Wang, Mi Hu, et al.. (2019). Photothermal-assisted surface-mediated gene delivery for enhancing transfection efficiency. Biomaterials Science. 7(12). 5177–5186. 25 indexed citations
16.
17.
Chen, Jiayan, Mi Hu, He Zhang, et al.. (2017). Improved Antithrombotic Function of Oriented Endothelial Cell Monolayer on Microgrooves. ACS Biomaterials Science & Engineering. 4(6). 1976–1985. 22 indexed citations
18.
Zhang, He, Linhua Liu, Ming Shi, Xiaoshan Liu, & Huanwen Tang. (2015). [Sphingosine kinase 1 promotes glioma cell proliferation under hypoxia via calcium signaling].. PubMed. 35(7). 1014–8. 1 indexed citations
19.
Chang, Hao, Ke‐feng Ren, Jinlei Wang, et al.. (2013). Surface-mediated functional gene delivery: An effective strategy for enhancing competitiveness of endothelial cells over smooth muscle cells. Biomaterials. 34(13). 3345–3354. 44 indexed citations
20.
Gao, Jie, Wei Zhong, Jinqiu He, et al.. (2009). Tumor-targeted PE38KDEL delivery via PEGylated anti-HER2 immunoliposomes. International Journal of Pharmaceutics. 374(1-2). 145–152. 56 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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