Mai Shi

53 papers and 980 indexed citations i.

About

Mai Shi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Mai Shi has authored 53 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 19 papers in Endocrinology, Diabetes and Metabolism and 15 papers in Epidemiology. Recurrent topics in Mai Shi’s work include Metabolism, Diabetes, and Cancer (12 papers), Diabetes Treatment and Management (11 papers) and Diabetes Management and Research (7 papers). Mai Shi is often cited by papers focused on Metabolism, Diabetes, and Cancer (12 papers), Diabetes Treatment and Management (11 papers) and Diabetes Management and Research (7 papers). Mai Shi collaborates with scholars based in Hong Kong, China and United States. Mai Shi's co-authors include Stephen Kwok‐Wing Tsui, Shitao Rao, Mary Miu Yee Waye, Puping Liang, Jinfang Zhang, Weicheng Liang, Qi Zhang, Weiming Fu, Cheuk-Wa Wong and Ye Cao and has published in prestigious journals such as Nature Communications, PLoS ONE and Hepatology.

In The Last Decade

Co-authorship network of co-authors of Mai Shi i

Fields of papers citing papers by Mai Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mai Shi. 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 Mai Shi. The network helps show where Mai Shi may publish in the future.

Countries citing papers authored by Mai Shi

Since Specialization
Citations

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