Hekai Li

806 citations
21 papers · 648 · h-index 14

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
    • Supramolecular Self-Assembly in Materials 2

Hekai Li

20 papers receiving 644 citations

Peers

Hekai Li
Comparison fields: 5 of 98
  • Biomaterials 241
  • Genetics 66
  • Surgery 260
  • Cellular and Molecular Neuroscience 78
  • Molecular Medicine 19
Replace Bingyang Dai with:
Bingyang Dai China
Jana Musı́lková Czechia
Jonathan R. Slotkin United States
Vyacheslav Ogay Kazakhstan
Maria Adelina Costa Portugal
John Graham United Kingdom
Stefania Antonini Italy
Zezhang Zhu China
Li‐An Wu China
Hekai Li relative to Bingyang Dai China Bingyang Dai's profile →
Citations per field
00.5×3.5×
Bingyang Dai · 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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201789
2 201861
3 202358
4 202148
5 201847
6 202045
7 202245
8 201741
9 201740
10 202230
11 202428
12 202328
13 202119
14 201618
15 202213
16 202113
17 202112
18 20237
19 20253
20 20233

About Hekai Li

Hekai Li is a scholar working on Surgery, Biomaterials, Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics, having authored 21 papers that have together received 648 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), Mesenchymal stem cell research (3 papers), Extracellular vesicles in disease (3 papers), RNA Interference and Gene Delivery (3 papers), Autophagy in Disease and Therapy (3 papers) and Supramolecular Self-Assembly in Materials (2 papers). The work is most often cited by research in Biomaterials (241 citations), Genetics (66 citations), Surgery (260 citations), Cellular and Molecular Neuroscience (78 citations) and Molecular Medicine (19 citations). Hekai Li has collaborated with scholars based in China and Macao. Frequent co-authors include Caiwen Ou, Minsheng Chen, Xianglin Fan, Zhiye Wu, Yanbin Cai, Min Yi, Jianwu Zhang, Jianyun Yan, Jie Zhan and Peier Chen. Their work appears in journals such as Advanced Healthcare Materials, Scientific Reports, Journal of Materials Chemistry B, RSC Advances and Nature Communications.

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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