Mei Jin

33 papers and 476 indexed citations i.

About

Mei Jin is a scholar working on Genetics, Molecular Biology and Cell Biology. According to data from OpenAlex, Mei Jin has authored 33 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 10 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Mei Jin’s work include Genetic and phenotypic traits in livestock (9 papers), Cancer-related molecular mechanisms research (7 papers) and Hair Growth and Disorders (7 papers). Mei Jin is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Cancer-related molecular mechanisms research (7 papers) and Hair Growth and Disorders (7 papers). Mei Jin collaborates with scholars based in China, United States and Germany. Mei Jin's co-authors include Ethel E. Apolinario, Charles S. Hoffman, Mingxing Chu, Ran Di, Tao Feng, Masaya Fujita, Kinsey Maundrell, M. Yamamoto, Mengxin Xing and Guiling Cao and has published in prestigious journals such as PLoS ONE, Genetics and Frontiers in Genetics.

In The Last Decade

Co-authorship network of co-authors of Mei Jin i

Fields of papers citing papers by Mei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Jin

Since Specialization
Citations

This map shows the geographic impact of Mei Jin'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 Mei Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Jin 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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2026