Xiaoli Yan

About

Xiaoli Yan is a scholar working on Complementary and alternative medicine, Epidemiology and Physiology. According to data from OpenAlex, Xiaoli Yan has authored 21 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Complementary and alternative medicine, 4 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in Xiaoli Yan’s work include Traditional Chinese Medicine Analysis (4 papers), Phytoestrogen effects and research (3 papers) and Smoking Behavior and Cessation (3 papers). Xiaoli Yan is often cited by papers focused on Traditional Chinese Medicine Analysis (4 papers), Phytoestrogen effects and research (3 papers) and Smoking Behavior and Cessation (3 papers). Xiaoli Yan collaborates with scholars based in China, Singapore and Australia. Xiaoli Yan's co-authors include Mingsan Miao, Lin Guo, Carl D. D’Ruiz, Donald W. Graff and Yifeng Xu and has published in prestigious journals such as Journal of Power Sources, Nature Chemistry and Journal of Alloys and Compounds.

In The Last Decade

Fields of papers citing papers by Xiaoli Yan

Since Specialization

EngineeringComputer 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 Xiaoli Yan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoli Yan may publish in the future.

Countries citing papers authored by Xiaoli Yan

Since Specialization

Citations

This map shows the geographic impact of Xiaoli Yan'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 Xiaoli Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Yan more than expected).

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