Kun Du
About
Kun Du is a scholar working on Physiology, Molecular Biology and Cancer Research.
According to data from OpenAlex, Kun Du has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Physiology, 17 papers in Molecular Biology and 13 papers in Cancer Research. Recurrent topics in Kun Du’s work include Asthma and respiratory diseases (11 papers), Sinusitis and nasal conditions (10 papers) and Adipose Tissue and Metabolism (9 papers). Kun Du is often cited by papers focused on Asthma and respiratory diseases (11 papers), Sinusitis and nasal conditions (10 papers) and Adipose Tissue and Metabolism (9 papers). Kun Du collaborates with scholars based in China, Japan and Belgium. Kun Du's co-authors include Songjia Lai, Xianbo Jia, Xiangdong Wang, Shi‐Yi Chen and Luo Zhang and has published in prestigious journals such as Nature, PLoS ONE and Biochemical and Biophysical Research Communications.
In The Last Decade
Fields of papers citing papers by Kun Du
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 Kun Du. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kun Du may publish in the future.
Countries citing papers authored by Kun Du
Since SpecializationCitations
This map shows the geographic impact of Kun Du'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 Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Du more than expected).
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