Kai Dai

32 papers and 809 indexed citations i.

About

Kai Dai is a scholar working on Biomedical Engineering, Genetics and Molecular Biology. According to data from OpenAlex, Kai Dai has authored 32 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 9 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in Kai Dai’s work include Mesenchymal stem cell research (9 papers), Bone Tissue Engineering Materials (7 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Kai Dai is often cited by papers focused on Mesenchymal stem cell research (9 papers), Bone Tissue Engineering Materials (7 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Kai Dai collaborates with scholars based in China, United States and Netherlands. Kai Dai's co-authors include Jing Wang, Yuanman Yu, Changsheng Liu, Tong Shen, Changsheng Liu, Meng Wang, Yang Liu, Zhengyu Ma, Zehua Gao and Wei Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biomaterials and Chemical Engineering Journal.

In The Last Decade

Co-authorship network of co-authors of Kai Dai i

Fields of papers citing papers by Kai Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Dai

Since Specialization
Citations

This map shows the geographic impact of Kai Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Dai 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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2026