Song Jun-mei

22 papers and 331 indexed citations i.

About

Song Jun-mei is a scholar working on Molecular Biology, Complementary and alternative medicine and Epidemiology. According to data from OpenAlex, Song Jun-mei has authored 22 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Complementary and alternative medicine and 3 papers in Epidemiology. Recurrent topics in Song Jun-mei’s work include Renal Diseases and Glomerulopathies (3 papers), Traditional Chinese Medicine Analysis (3 papers) and Bioactive natural compounds (3 papers). Song Jun-mei is often cited by papers focused on Renal Diseases and Glomerulopathies (3 papers), Traditional Chinese Medicine Analysis (3 papers) and Bioactive natural compounds (3 papers). Song Jun-mei collaborates with scholars based in China. Song Jun-mei's co-authors include Dong Zhang, Keru Wu, Dezhi Li, Silin Chen, Lijuan Cui, Hui Jiang, Xiujuan Qin, Jiarong Gao, Lina Tang and Shishan Deng and has published in prestigious journals such as PLoS ONE, Cement and Concrete Research and Gene.

In The Last Decade

Co-authorship network of co-authors of Song Jun-mei i

Fields of papers citing papers by Song Jun-mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song Jun-mei. 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 Song Jun-mei. The network helps show where Song Jun-mei may publish in the future.

Countries citing papers authored by Song Jun-mei

Since Specialization
Citations

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