Kun Dai

51 papers and 644 indexed citations i.

About

Kun Dai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Kun Dai has authored 51 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 7 papers in Immunology. Recurrent topics in Kun Dai’s work include Neuropeptides and Animal Physiology (8 papers), MicroRNA in disease regulation (4 papers) and Receptor Mechanisms and Signaling (4 papers). Kun Dai is often cited by papers focused on Neuropeptides and Animal Physiology (8 papers), MicroRNA in disease regulation (4 papers) and Receptor Mechanisms and Signaling (4 papers). Kun Dai collaborates with scholars based in China, Japan and Hong Kong. Kun Dai's co-authors include Takayuki Shindo, Hisaka Kawate, Megumu Tanaka, Takayuki Sakurai and Yuka Ichikawa‐Shindo and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nano Letters.

In The Last Decade

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

Countries citing papers authored by Kun Dai

Since Specialization
Citations

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

Rankless by CCL
2025