Jun Cai
About
Jun Cai is a scholar working on Molecular Biology, Modeling and Simulation and Infectious Diseases.
According to data from OpenAlex, Jun Cai has authored 103 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Modeling and Simulation and 15 papers in Infectious Diseases. Recurrent topics in Jun Cai’s work include COVID-19 epidemiological studies (16 papers), Atmospheric chemistry and aerosols (11 papers) and Air Quality and Health Impacts (9 papers). Jun Cai is often cited by papers focused on COVID-19 epidemiological studies (16 papers), Atmospheric chemistry and aerosols (11 papers) and Air Quality and Health Impacts (9 papers). Jun Cai collaborates with scholars based in China, United States and Belgium. Jun Cai's co-authors include Bing Xu, Chen Zhang, Ziyue Chen, Wei Tang and Bingbo Gao and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.
In The Last Decade
Fields of papers citing papers by Jun Cai
Since SpecializationEngineeringComputer 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 Cai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Cai may publish in the future.
Countries citing papers authored by Jun Cai
Since SpecializationCitations
This map shows the geographic impact of Jun Cai'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 Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cai more than expected).
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