Kun Yan

1.6k citations
65 papers · 1.2k · h-index 22

Impact in

Papers in

    • Advanced Sensor and Energy Harvesting Materials 18
    • Bone Tissue Engineering Materials 4
    • Electrospun Nanofibers in Biomedical Applications 9
    • Supramolecular Self-Assembly in Materials 5

Kun Yan

59 papers receiving 1.2k citations

Peers

Kun Yan
Comparison fields: 5 of 108
  • Molecular Medicine 139
  • Biomaterials 317
  • Surfaces, Coatings and Films 106
  • Polymers and Plastics 202
  • Biomedical Engineering 399
Replace Emmanuel Belamie with:
Emmanuel Belamie France
Weijiang Yu China
Prashanth Asuri United States
Peizhi Zhu China
Han Lin China
Rui Tang United States
Daniel J. Hayes United States
Elisabeth Prince Canada
Halima Alem France
Jeong Ho Chang South Korea
Kun Yan relative to Emmanuel Belamie France Emmanuel Belamie's profile →
Citations per field
00.5×3.5×
Emmanuel Belamie · 1×
Citations per year

Countries citing papers authored by Kun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201590
2 202163
3 202063
4 202051
5 202050
6 201449
7 202246
8 202143
9 202041
10 201939
11 202139
12 202037
13 202034
14 201332
15 201832
16 202131
17 201931
18 202326
19 201526
20 202324

About Kun Yan

Kun Yan is a scholar working on Biomedical Engineering, Biomaterials, Polymers and Plastics, Materials Chemistry and Surfaces, Coatings and Films, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (18 papers), Polymer Surface Interaction Studies (10 papers), Electrospun Nanofibers in Biomedical Applications (9 papers), Hydrogels: synthesis, properties, applications (9 papers), Conducting polymers and applications (6 papers), Supramolecular Self-Assembly in Materials (5 papers), Advanced Polymer Synthesis and Characterization (5 papers) and Bone Tissue Engineering Materials (4 papers). The work is most often cited by research in Molecular Medicine (139 citations), Biomaterials (317 citations), Surfaces, Coatings and Films (106 citations), Polymers and Plastics (202 citations) and Biomedical Engineering (399 citations). Kun Yan has collaborated with scholars based in China, United States and Nepal. Frequent co-authors include Dong Wang, Chenguang Yang, Feiyang Xu, Zhentan Lu, Xiufang Li, Xiaowen Shi, Yuanli Chen, Yingwu Luo, William E. Bentley and Renchuan You. Their work appears in journals such as International Journal of Biological Macromolecules, Carbohydrate Polymers, Colloids and Surfaces B Biointerfaces, Industrial & Engineering Chemistry Research and Analytical Chemistry.

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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