Kai Su

3.6k citations
85 papers · 2.9k · h-index 32

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications
    • Hydrogels: synthesis, properties, applications

Papers in

    • Osteoarthritis Treatment and Mechanisms 18
    • Pelvic floor disorders treatments 6
    • Silk-based biomaterials and applications 10
    • Electrospun Nanofibers in Biomedical Applications 5

Kai Su

80 papers receiving 2.9k citations

Peers

Kai Su
Comparison fields: 5 of 137
  • Biomaterials 759
  • Molecular Medicine 202
  • Rheumatology 440
  • Urology 145
  • Biomedical Engineering 867
Replace Xiaodan Sun with:
Xiaodan Sun China
Zhong‐Kai Cui China
Hwan Kim South Korea
Xuehui Zhang China
Kyobum Kim South Korea
Marcella Trombetta Italy
Chang Du China
V. Prasad Shastri Germany
Yunqing Kang China
Giuseppe Perale Italy
Kai Su relative to Xiaodan Sun China Xiaodan Sun's profile →
Citations per field
00.5×3.5×
Xiaodan Sun · 1×
Citations per year

Countries citing papers authored by Kai Su

Since Specialization
Citations

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

Fields of papers citing papers by Kai Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Su, 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 Kai Su Line = papers co-authored together Kai Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015359
2 2013198
3 2009143
4 2008138
5 2011110
6 2012100
7 201398
8 200693
9 201393
10 202185
11 200977
12 201266
13 201065
14 200762
15 201452
16 201643
17 201343
18 202242
19 201941
20 201340

About Kai Su

Kai Su is a scholar working on Rheumatology, Biomaterials, Biomedical Engineering, Molecular Biology and Surgery, having authored 85 papers that have together received 2.9k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (18 papers), Silk-based biomaterials and applications (10 papers), Bone Tissue Engineering Materials (7 papers), Mesenchymal stem cell research (6 papers), Pelvic floor disorders treatments (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Knee injuries and reconstruction techniques (5 papers) and 3D Printing in Biomedical Research (5 papers). The work is most often cited by research in Biomaterials (759 citations), Molecular Medicine (202 citations), Rheumatology (440 citations), Urology (145 citations) and Biomedical Engineering (867 citations). Kai Su has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Chunming Wang, Nurxat Nuraje, Dong‐An Wang, Nan‐Loh Yang, Yihong Gong, Hiroshi Matsui, Ting Ting Lau, Nurxat Nuraje, Caroline E. Gargett and Hanying Bai. Their work appears in journals such as Acta Biomaterialia, Journal of Tissue Engineering and Regenerative Medicine, Pharmaceutical Research, Tissue Engineering Part A and Journal of the American Chemical Society.

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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