Jun Dai

About

Jun Dai is a scholar working on Molecular Biology, Cell Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Jun Dai has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Cell Biology and 10 papers in Endocrine and Autonomic Systems. Recurrent topics in Jun Dai’s work include Circadian rhythm and melatonin (10 papers), Estrogen and related hormone effects (8 papers) and Microtubule and mitosis dynamics (8 papers). Jun Dai is often cited by papers focused on Circadian rhythm and melatonin (10 papers), Estrogen and related hormone effects (8 papers) and Microtubule and mitosis dynamics (8 papers). Jun Dai collaborates with scholars based in United States, China and Switzerland. Jun Dai's co-authors include Steven M. Hill, Lin Yuan, Jonathan M.G. Higgins, Todd L. Kiefer and Chunmin Dong and has published in prestigious journals such as Science, Journal of Clinical Investigation and Genes & Development.

In The Last Decade

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

Countries citing papers authored by Jun Dai

Since Specialization

Citations

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

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