Lin Lin
About
Lin Lin is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism.
According to data from OpenAlex, Lin Lin has authored 170 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 25 papers in Physiology and 23 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lin Lin’s work include Cannabis and Cannabinoid Research (14 papers), Alcohol Consumption and Health Effects (10 papers) and Diet and metabolism studies (8 papers). Lin Lin is often cited by papers focused on Cannabis and Cannabinoid Research (14 papers), Alcohol Consumption and Health Effects (10 papers) and Diet and metabolism studies (8 papers). Lin Lin collaborates with scholars based in China, United States and Canada. Lin Lin's co-authors include John C. Achermann, Richard P. Bazinet, Daniele Piomelli, Peter J.H. Jones and Adam H. Metherel and has published in prestigious journals such as Cell, The Lancet and Journal of Biological Chemistry.
In The Last Decade
Fields of papers citing papers by Lin 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 Lin Lin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Lin Lin may publish in the future.
Countries citing papers authored by Lin Lin
Since SpecializationCitations
This map shows the geographic impact of Lin 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 Lin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Lin more than expected).
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