Meng Jin

39 papers and 1.2k indexed citations i.

About

Meng Jin is a scholar working on Molecular Biology, Cancer Research and Aging. According to data from OpenAlex, Meng Jin has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 6 papers in Cancer Research and 6 papers in Aging. Recurrent topics in Meng Jin’s work include Genetics, Aging, and Longevity in Model Organisms (6 papers), MicroRNA in disease regulation (4 papers) and Adipose Tissue and Metabolism (3 papers). Meng Jin is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (6 papers), MicroRNA in disease regulation (4 papers) and Adipose Tissue and Metabolism (3 papers). Meng Jin collaborates with scholars based in China, United States and Japan. Meng Jin's co-authors include Daniel J. Lew, Timothy C. Elston, Trevin R. Zyla, Jayme Johnson, Audrey S. Howell, Shawn M. Ferguson, Jeff Hasty, Nan Hao, Huiguo Liu and Richard O’Laughlin and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Meng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meng Jin

Since Specialization
Citations

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