Jia Guan
About
Jia Guan is a scholar working on Pharmacology, Plant Science and Molecular Biology.
According to data from OpenAlex, Jia Guan has authored 13 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 5 papers in Plant Science and 4 papers in Molecular Biology. Recurrent topics in Jia Guan’s work include Fungal Biology and Applications (5 papers), Polysaccharides and Plant Cell Walls (4 papers) and Traditional Chinese Medicine Analysis (3 papers). Jia Guan is often cited by papers focused on Fungal Biology and Applications (5 papers), Polysaccharides and Plant Cell Walls (4 papers) and Traditional Chinese Medicine Analysis (3 papers). Jia Guan collaborates with scholars based in Macao, China and United States. Jia Guan's co-authors include Shaoping Li, Zhengming Qian, Feng Yang, Kun Feng and Ping Li and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Carbohydrate Polymers and Molecules.
In The Last Decade
Fields of papers citing papers by Jia Guan
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 Jia Guan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jia Guan may publish in the future.
Countries citing papers authored by Jia Guan
Since SpecializationCitations
This map shows the geographic impact of Jia Guan'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 Jia Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Guan more than expected).
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