Nan Si
About
Nan Si is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology.
According to data from OpenAlex, Nan Si has authored 52 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 15 papers in Complementary and alternative medicine and 12 papers in Pharmacology. Recurrent topics in Nan Si’s work include Traditional Chinese Medicine Analysis (11 papers), Phytochemistry and Biological Activities (9 papers) and Natural product bioactivities and synthesis (7 papers). Nan Si is often cited by papers focused on Traditional Chinese Medicine Analysis (11 papers), Phytochemistry and Biological Activities (9 papers) and Natural product bioactivities and synthesis (7 papers). Nan Si collaborates with scholars based in China, Japan and Hong Kong. Nan Si's co-authors include Baolin Bian, Haiyu Zhao, Jian Yang, Xiaolu Wei and Hongjie Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Chromatography A.
In The Last Decade
Fields of papers citing papers by Nan Si
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 Nan Si. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Nan Si may publish in the future.
Countries citing papers authored by Nan Si
Since SpecializationCitations
This map shows the geographic impact of Nan Si'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 Nan Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Si more than expected).
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