Jun Mei
About
Jun Mei is a scholar working on Animal Science and Zoology, Molecular Biology and Food Science.
According to data from OpenAlex, Jun Mei has authored 129 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Animal Science and Zoology, 42 papers in Molecular Biology and 41 papers in Food Science. Recurrent topics in Jun Mei’s work include Meat and Animal Product Quality (75 papers), Nanocomposite Films for Food Packaging (29 papers) and Aquaculture Nutrition and Growth (28 papers). Jun Mei is often cited by papers focused on Meat and Animal Product Quality (75 papers), Nanocomposite Films for Food Packaging (29 papers) and Aquaculture Nutrition and Growth (28 papers). Jun Mei collaborates with scholars based in China and United States. Jun Mei's co-authors include Jing Xie, Wenru Liu, Yunfei Li, Weiqiang Qiu and Xuan Ma and has published in prestigious journals such as PLoS ONE, Journal of Power Sources and Food Chemistry.
In The Last Decade
Fields of papers citing papers by Jun Mei
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 Mei. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Mei may publish in the future.
Countries citing papers authored by Jun Mei
Since SpecializationCitations
This map shows the geographic impact of Jun Mei'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 Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Mei more than expected).
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