Hekai Li

864 citations
22 papers · 710 · h-index 15

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Supramolecular Self-Assembly in Materials
    • Mesenchymal stem cell research

Papers in

    • Tissue Engineering and Regenerative Medicine 12
    • Electrospun Nanofibers in Biomedical Applications 11

Hekai Li

21 papers receiving 706 citations

Peers

Hekai Li
Comparison fields: 5 of 102
  • Biomaterials 248
  • Genetics 66
  • Surgery 262
  • Molecular Medicine 22
  • Cellular and Molecular Neuroscience 80
Replace Emma J. Blain with:
Emma J. Blain United Kingdom
Hao Yao China
Jana Musı́lková Czechia
Jiro Nagatomi United States
Bingyang Dai China
Hongfei Xiang China
Stefania Antonini Italy
Maria Adelina Costa Portugal
Astrid Pinzano France
Hekai Li relative to Emma J. Blain United Kingdom Emma J. Blain's profile →
Citations per field
00.5×1.5×1.9×
Emma J. Blain · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Hekai Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hekai Li Line = papers co-authored together Hekai Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201794
2 201868
3 202363
4 202157
5 202248
6 202047
7 201847
8 201744
9 201742
10 202233
11 202331
12 202430
13 202121
14 201619
15 202214
16 202113
17 202113
18 202311
19 20238
20 20254

About Hekai Li

Hekai Li is a scholar working on Surgery, Biomaterials, Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics, having authored 22 papers that have together received 710 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (12 papers), Electrospun Nanofibers in Biomedical Applications (11 papers), Cardiac Fibrosis and Remodeling (4 papers), RNA Interference and Gene Delivery (3 papers), Extracellular vesicles in disease (3 papers), Mesenchymal stem cell research (3 papers), Autophagy in Disease and Therapy (3 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Biomaterials (248 citations), Genetics (66 citations), Surgery (262 citations), Molecular Medicine (22 citations) and Cellular and Molecular Neuroscience (80 citations). Hekai Li has collaborated with scholars based in China and Macao. Frequent co-authors include Caiwen Ou, Minsheng Chen, Xianglin Fan, Yanbin Cai, Zhiye Wu, Min Yi, Jianwu Zhang, Jianyun Yan, Jie Zhan and Peier Chen. Their work appears in journals such as Advanced Healthcare Materials, Composites Part B Engineering, Molecular and Cellular Biochemistry, ACS Applied Materials & Interfaces and Advanced Science.

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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