Qi Dai

25 papers and 797 indexed citations i.

About

Qi Dai is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Qi Dai has authored 25 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Plant Science. Recurrent topics in Qi Dai’s work include RNA Research and Splicing (11 papers), Genomics and Chromatin Dynamics (9 papers) and MicroRNA in disease regulation (6 papers). Qi Dai is often cited by papers focused on RNA Research and Splicing (11 papers), Genomics and Chromatin Dynamics (9 papers) and MicroRNA in disease regulation (6 papers). Qi Dai collaborates with scholars based in United States, Sweden and China. Qi Dai's co-authors include Eric C. Lai, Jakub Orzechowski Westholm, Mattias Mannervik, Tobias Lilja and Jiayu Wen and has published in prestigious journals such as Nature Communications, Genes & Development and The EMBO Journal.

In The Last Decade

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

Countries citing papers authored by Qi Dai

Since Specialization
Citations

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

Rankless by CCL
2025