Ming Lin
About
Ming Lin is a scholar working on Epidemiology, Hepatology and Genetics.
According to data from OpenAlex, Ming Lin has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 18 papers in Hepatology and 10 papers in Genetics. Recurrent topics in Ming Lin’s work include Hepatitis B Virus Studies (13 papers), Hepatitis C virus research (13 papers) and Liver Disease Diagnosis and Treatment (12 papers). Ming Lin is often cited by papers focused on Hepatitis B Virus Studies (13 papers), Hepatitis C virus research (13 papers) and Liver Disease Diagnosis and Treatment (12 papers). Ming Lin collaborates with scholars based in United States, China and Poland. Ming Lin's co-authors include Raymond T. Chung, Wojciech Błoński, Meghan E. Sise, Chang‐Ming Huang and Xiaoling Chi and has published in prestigious journals such as Gastroenterology, PLoS ONE and Hepatology.
In The Last Decade
Fields of papers citing papers by Ming Lin
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 Ming Lin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ming Lin may publish in the future.
Countries citing papers authored by Ming Lin
Since SpecializationCitations
This map shows the geographic impact of Ming Lin'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 Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Lin more than expected).
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