Mao Fu

28 papers and 775 indexed citations i.

About

Mao Fu is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Mao Fu has authored 28 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Surgery. Recurrent topics in Mao Fu’s work include Genetic Associations and Epidemiology (4 papers), Pancreatic Islet Dysfunction and Regeneration (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Mao Fu is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Pancreatic Islet Dysfunction and Regeneration (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Mao Fu collaborates with scholars based in United States, China and Japan. Mao Fu's co-authors include Alan R. Shuldiner, Braxton D. Mitchell, Haiqing Shen, Evadnie Rampersaud, Jeffery R. O’Connell, Toni I. Pollin, Paul Sack, Scott Hines, Søren Snitker and Sandra Ott and has published in prestigious journals such as PLoS ONE, NeuroImage and Diabetes.

In The Last Decade

Co-authorship network of co-authors of Mao Fu i

Fields of papers citing papers by Mao Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mao Fu

Since Specialization
Citations

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