Kun Yu

33 papers and 1.3k indexed citations i.

About

Kun Yu is a scholar working on Biomaterials, Rehabilitation and Hematology. According to data from OpenAlex, Kun Yu has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomaterials, 13 papers in Rehabilitation and 12 papers in Hematology. Recurrent topics in Kun Yu’s work include Wound Healing and Treatments (13 papers), Hemostasis and retained surgical items (11 papers) and Surgical Sutures and Adhesives (9 papers). Kun Yu is often cited by papers focused on Wound Healing and Treatments (13 papers), Hemostasis and retained surgical items (11 papers) and Surgical Sutures and Adhesives (9 papers). Kun Yu collaborates with scholars based in China, Hong Kong and Austria. Kun Yu's co-authors include Guangqian Lan, Bitao Lu, Fei Lu, Fangying Dai, Fangyin Dai, Ruiqi Xie, Enling Hu, Rong Bao, Qing Li and Honglei Chen and has published in prestigious journals such as Advanced Functional Materials, Scientific Reports and Journal of Cleaner Production.

In The Last Decade

Co-authorship network of co-authors of Kun Yu i

Fields of papers citing papers by Kun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Yu

Since Specialization
Citations

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

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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2025