Long Min
About
Long Min is a scholar working on Organic Chemistry, Biochemistry and Pharmacology.
According to data from OpenAlex, Long Min has authored 34 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Organic Chemistry, 10 papers in Biochemistry and 6 papers in Pharmacology. Recurrent topics in Long Min’s work include Synthetic Organic Chemistry Methods (10 papers), Traditional and Medicinal Uses of Annonaceae (10 papers) and Oxidative Organic Chemistry Reactions (8 papers). Long Min is often cited by papers focused on Synthetic Organic Chemistry Methods (10 papers), Traditional and Medicinal Uses of Annonaceae (10 papers) and Oxidative Organic Chemistry Reactions (8 papers). Long Min collaborates with scholars based in China, Macao and Hong Kong. Long Min's co-authors include Chuang‐Chuang Li, Ya‐Jian Hu, Chi‐Sing Lee, Mengqin Yuan and Wei Jiang and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Chemical Society Reviews.
In The Last Decade
Fields of papers citing papers by Long Min
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 Long Min. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Long Min may publish in the future.
Countries citing papers authored by Long Min
Since SpecializationCitations
This map shows the geographic impact of Long Min'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 Long Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Min more than expected).
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