Kai Dai

About

Kai Dai is a scholar working on Biomedical Engineering, Surgery and Genetics. According to data from OpenAlex, Kai Dai has authored 27 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Surgery and 8 papers in Genetics. Recurrent topics in Kai Dai’s work include Mesenchymal stem cell research (8 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 (8 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 The Netherlands. Kai Dai's co-authors include Yuanman Yu, Changsheng Liu, Changsheng Liu and Tong Shen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biomaterials and Chemical Engineering Journal.

In The Last Decade

Fields of papers citing papers by Kai Dai

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Kai Dai. Nodes represent fields, and links connect fields that are likely to share authors. 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).

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