Xiaoyun Dai

37 papers and 3.4k indexed citations i.

About

Xiaoyun Dai is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Xiaoyun Dai has authored 37 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 20 papers in Oncology and 8 papers in Immunology. Recurrent topics in Xiaoyun Dai’s work include CAR-T cell therapy research (11 papers), Cancer Mechanisms and Therapy (7 papers) and CRISPR and Genetic Engineering (7 papers). Xiaoyun Dai is often cited by papers focused on CAR-T cell therapy research (11 papers), Cancer Mechanisms and Therapy (7 papers) and CRISPR and Genetic Engineering (7 papers). Xiaoyun Dai collaborates with scholars based in United States, Singapore and Australia. Xiaoyun Dai's co-authors include Gautam Sethi, Alan Prem Kumar, Sidi Chen, Guangchuan Wang and Lupeng Ye and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature reviews. Immunology.

In The Last Decade

Fields of papers citing papers by Xiaoyun 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 Xiaoyun Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoyun Dai may publish in the future.

Countries citing papers authored by Xiaoyun Dai

Since Specialization
Citations

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

Rankless by CCL
2025