Li Day

129 papers and 6.2k indexed citations i.

About

Li Day is a scholar working on Food Science, Nutrition and Dietetics and Plant Science. According to data from OpenAlex, Li Day has authored 129 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Food Science, 47 papers in Nutrition and Dietetics and 29 papers in Plant Science. Recurrent topics in Li Day’s work include Proteins in Food Systems (39 papers), Food composition and properties (24 papers) and Polysaccharides Composition and Applications (18 papers). Li Day is often cited by papers focused on Proteins in Food Systems (39 papers), Food composition and properties (24 papers) and Polysaccharides Composition and Applications (18 papers). Li Day collaborates with scholars based in Australia, New Zealand and China. Li Day's co-authors include Tim J. Wooster, Mary Ann Augustin, Mi Xu, Leif Lundin and Thu H. McCann and has published in prestigious journals such as Gastroenterology, American Journal of Clinical Nutrition and Langmuir.

In The Last Decade

Fields of papers citing papers by Li Day

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

Countries citing papers authored by Li Day

Since Specialization

Citations

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

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