Li Day

130 papers and 6.4k 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 130 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Food Science, 49 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 (25 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 (25 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 Mary Ann Augustin, Tim J. Wooster, Thu H. McCann, Leif Lundin, Mi Xu, Michael J. Gidley, A. Padayachee, C.W. Wrigley, I.L. Batey and Julie A. Cakebread and has published in prestigious journals such as Gastroenterology, American Journal of Clinical Nutrition and Langmuir.

In The Last Decade

Co-authorship network of co-authors of Li Day i

Fields of papers citing papers by Li Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li Day. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Li Day. 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).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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