Ming Fan

121 papers and 3.6k indexed citations i.

About

Ming Fan is a scholar working on Molecular Biology, Animal Science and Zoology and Nutrition and Dietetics. According to data from OpenAlex, Ming Fan has authored 121 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 30 papers in Animal Science and Zoology and 27 papers in Nutrition and Dietetics. Recurrent topics in Ming Fan’s work include Animal Nutrition and Physiology (26 papers), Muscle metabolism and nutrition (11 papers) and Meat and Animal Product Quality (10 papers). Ming Fan is often cited by papers focused on Animal Nutrition and Physiology (26 papers), Muscle metabolism and nutrition (11 papers) and Meat and Animal Product Quality (10 papers). Ming Fan collaborates with scholars based in Canada, China and United States. Ming Fan's co-authors include Yoshinori Mine, Tania Archbold, Chengbo Yang, Todd C. Rideout, Dale Lackeyram, Douglas G. Burrin, Barbara J. Stoll, Jennifer Kovacs-Nolan, Peng Zhang and Xiaoping Chen and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Ming Fan i

Fields of papers citing papers by Ming Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Fan

Since Specialization
Citations

This map shows the geographic impact of Ming Fan'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 Ming Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Fan 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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2025