Yan Lv

About

Yan Lv is a scholar working on Molecular Biology, Nutrition and Dietetics and Epidemiology. According to data from OpenAlex, Yan Lv has authored 41 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Nutrition and Dietetics and 7 papers in Epidemiology. Recurrent topics in Yan Lv’s work include Prion Diseases and Protein Misfolding (17 papers), Trace Elements in Health (8 papers) and Hepatitis B Virus Studies (4 papers). Yan Lv is often cited by papers focused on Prion Diseases and Protein Misfolding (17 papers), Trace Elements in Health (8 papers) and Hepatitis B Virus Studies (4 papers). Yan Lv collaborates with scholars based in China, Taiwan and Hong Kong. Yan Lv's co-authors include Xiao‐Ping Dong, Qi Shi, Kang Xiao, Baoyun Zhang and Jing Sun and has published in prestigious journals such as Journal of Neurochemistry, Frontiers in Microbiology and Frontiers in Immunology.

In The Last Decade

Fields of papers citing papers by Yan Lv

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

Countries citing papers authored by Yan Lv

Since Specialization

Citations

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

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