Ming Yan

About

Ming Yan is a scholar working on Molecular Biology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Ming Yan has authored 35 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Ming Yan’s work include Liver physiology and pathology (5 papers), Biochemical effects in animals (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Ming Yan is often cited by papers focused on Liver physiology and pathology (5 papers), Biochemical effects in animals (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Ming Yan collaborates with scholars based in China, Australia and Singapore. Ming Yan's co-authors include Chen Chen, Lei Peng, Zheng Luo, Xiaolan Guo and Huimin Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Fields of papers citing papers by Ming 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 Ming Yan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ming Yan may publish in the future.

Countries citing papers authored by Ming Yan

Since Specialization

Citations

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

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