Hekai Li

806 total citations
21 papers, 648 citations indexed

About

Hekai Li is a scholar working on Surgery, Biomaterials and Molecular Biology. According to data from OpenAlex, Hekai Li has authored 21 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Biomaterials and 10 papers in Molecular Biology. Recurrent topics in Hekai Li's work include Tissue Engineering and Regenerative Medicine (12 papers), Electrospun Nanofibers in Biomedical Applications (11 papers) and Cardiac Fibrosis and Remodeling (4 papers). Hekai Li is often cited by papers focused on Tissue Engineering and Regenerative Medicine (12 papers), Electrospun Nanofibers in Biomedical Applications (11 papers) and Cardiac Fibrosis and Remodeling (4 papers). Hekai Li collaborates with scholars based in China and Macao. Hekai Li's co-authors include Caiwen Ou, Minsheng Chen, Xianglin Fan, Zhiye Wu, Yanbin Cai, Min Yi, Jianwu Zhang, Jianyun Yan, Jie Zhan and Peier Chen and has published in prestigious journals such as Nature Communications, Biomaterials and Scientific Reports.

In The Last Decade

Hekai Li

20 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hekai Li China 14 260 241 219 158 78 21 648
Dilip Thomas United States 16 223 0.9× 174 0.7× 284 1.3× 302 1.9× 54 0.7× 33 722
Hyeok Kim South Korea 12 195 0.8× 157 0.7× 260 1.2× 263 1.7× 48 0.6× 20 677
Ran Tao United States 13 199 0.8× 88 0.4× 287 1.3× 132 0.8× 82 1.1× 33 612
Jana Musı́lková Czechia 13 208 0.8× 192 0.8× 283 1.3× 172 1.1× 86 1.1× 37 865
Shama R. Iyer United States 16 236 0.9× 103 0.4× 415 1.9× 161 1.0× 74 0.9× 33 731
Laura Saludas Spain 10 184 0.7× 218 0.9× 178 0.8× 155 1.0× 35 0.4× 11 461
Bingyang Dai China 18 172 0.7× 179 0.7× 220 1.0× 341 2.2× 75 1.0× 31 879
Sandeep Kumar Vishwakarma India 13 226 0.9× 150 0.6× 178 0.8× 107 0.7× 70 0.9× 78 643
Jiajia Shi China 8 161 0.6× 155 0.6× 100 0.5× 133 0.8× 100 1.3× 23 517

Countries citing papers authored by Hekai Li

Since Specialization
Citations

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

Fields of papers citing papers by Hekai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hekai Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hekai Li. A scholar is included among the top collaborators of Hekai Li 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 Hekai Li. Hekai Li 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.
Liao, Xu, Min Tang, Jiejing Li, et al.. (2025). Acid‐Triggered Cascaded Responsive Supramolecular Peptide Alleviates Myocardial Ischemia‒Reperfusion Injury by Restoring Redox Homeostasis and Protecting Mitochondrial Function. Advanced Healthcare Materials. 14(7). e2404319–e2404319. 3 indexed citations
3.
Chen, Peier, Xiaodong Ning, Jianfeng Zhong, et al.. (2023). Targeted heart repair by Tβ4-loaded cardiac-resident macrophage-derived extracellular vesicles modified with monocyte membranes. Acta Biomaterialia. 169. 372–386. 28 indexed citations
4.
Li, Zhidu, Hekai Li, & Tong Tang. (2023). UAV-assisted 3D Trajectory Planning and Data Collection in Wireless Powered IoT. 1–3. 3 indexed citations
5.
Liu, Haiqiong, Qian Liang, Hekai Li, et al.. (2023). Compound Danshen Dripping Pills pretreatment protects the heart from ischemia/reperfusion injury by enhancing autophagic flux. Brazilian Journal of Pharmaceutical Sciences. 59.
6.
Yu, Bin, Hekai Li, Zhaowenbin Zhang, et al.. (2023). Extracellular vesicles engineering by silicates-activated endothelial progenitor cells for myocardial infarction treatment in male mice. Nature Communications. 14(1). 2094–2094. 58 indexed citations
8.
Chen, Peier, Xiaodong Ning, Wang Ling, et al.. (2022). Fabrication of Tβ4-Exosome-releasing artificial stem cells for myocardial infarction therapy by improving coronary collateralization. Bioactive Materials. 14. 416–429. 30 indexed citations
9.
Zhan, Jie, Xu Liao, Xianglin Fan, et al.. (2022). An injectable and conductive TEMPOL/polypyrrole integrated peptide co-assembly hydrogel promotes functional maturation of cardiomyocytes for myocardial infarction repair. Composites Part B Engineering. 236. 109794–109794. 45 indexed citations
10.
Fan, Xianglin, Jie Zhan, Xianmei Pan, et al.. (2022). Enzymatic self-assembly nanofibers anchoring mesenchymal stem cells induce cell spheroids and amplify paracrine function for myocardial infarction therapy. Chemical Engineering Journal. 436. 135224–135224. 13 indexed citations
11.
Zhang, Lihong, Jingyang Chen, Hekai Li, et al.. (2021). Limb-bud and Heart (LBH) mediates proliferation, fibroblast-to-myofibroblast transition and EMT-like processes in cardiac fibroblasts. Molecular and Cellular Biochemistry. 476(7). 2685–2701. 12 indexed citations
13.
Zhan, Jie, Hekai Li, Guanghui Xu, et al.. (2021). Dual-ligand supramolecular nanofibers inspired by the renin-angiotensin system for the targeting and synergistic therapy of myocardial infarction. Theranostics. 11(8). 3725–3741. 19 indexed citations
14.
Zheng, Huajun, Chongbin Zhong, Hekai Li, et al.. (2021). Nkx2‐3 induces autophagy inhibiting proliferation and migration of vascular smooth muscle cells via AMPK/mTOR signaling pathway. Journal of Cellular Physiology. 236(11). 7342–7355. 13 indexed citations
15.
Gao, Long, Min Yi, Min Xing, et al.. (2020). In situ activated mesenchymal stem cells (MSCs) by bioactive hydrogels for myocardial infarction treatment. Journal of Materials Chemistry B. 8(34). 7713–7722. 45 indexed citations
16.
Li, Hekai, Jie Gao, Yuna Shang, et al.. (2018). Folic Acid Derived Hydrogel Enhances the Survival and Promotes Therapeutic Efficacy of iPS Cells for Acute Myocardial Infarction. ACS Applied Materials & Interfaces. 10(29). 24459–24468. 61 indexed citations
17.
Yi, Min, Hekai Li, Zhiye Wu, et al.. (2017). A Promising Therapeutic Target for Metabolic Diseases: Neuropeptide Y Receptors in Humans. Cellular Physiology and Biochemistry. 45(1). 88–107. 89 indexed citations
18.
Ou, Caiwen, Bei Liu, Jianwu Zhang, et al.. (2017). Lentiviral vector-mediated co-overexpression of VEGF and Bcl-2 improves mesenchymal stem cell survival and enhances paracrine effects in vitro. International Journal of Molecular Medicine. 40(2). 418–426. 40 indexed citations
19.
Wu, Zhiye, Guoqin Chen, Jianwu Zhang, et al.. (2017). Treatment of Myocardial Infarction with Gene-modified Mesenchymal Stem Cells in a Small Molecular Hydrogel. Scientific Reports. 7(1). 15826–15826. 41 indexed citations
20.
Huang, Anqing, Caiwen Ou, Yanbin Cai, et al.. (2016). In situ enzymatic formation of supramolecular nanofibers for efficiently killing cancer cells. RSC Advances. 6(39). 32519–32522. 18 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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