Tao Meng

48 papers and 945 indexed citations i.

About

Tao Meng is a scholar working on Molecular Biology, Obstetrics and Gynecology and Immunology. According to data from OpenAlex, Tao Meng has authored 48 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 18 papers in Obstetrics and Gynecology and 12 papers in Immunology. Recurrent topics in Tao Meng’s work include Pregnancy and preeclampsia studies (18 papers), Circular RNAs in diseases (10 papers) and MicroRNA in disease regulation (10 papers). Tao Meng is often cited by papers focused on Pregnancy and preeclampsia studies (18 papers), Circular RNAs in diseases (10 papers) and MicroRNA in disease regulation (10 papers). Tao Meng collaborates with scholars based in China, United States and Hong Kong. Tao Meng's co-authors include Xiuhua Yang, Shaoting Zhang, Zhiyong Xu, Guotai Wang, Xinglong Liu, Chaoping Li, Ning Huang, Haifeng Zhu, Kang Li and Haiying Chen and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Gene.

In The Last Decade

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

Fields of papers citing papers by Tao Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tao Meng

Since Specialization
Citations

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