Mei Meng

25 papers and 326 indexed citations i.

About

Mei Meng is a scholar working on Infectious Diseases, Surgery and Epidemiology. According to data from OpenAlex, Mei Meng has authored 25 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Surgery and 7 papers in Epidemiology. Recurrent topics in Mei Meng’s work include COVID-19 Clinical Research Studies (7 papers), Sepsis Diagnosis and Treatment (5 papers) and Long-Term Effects of COVID-19 (4 papers). Mei Meng is often cited by papers focused on COVID-19 Clinical Research Studies (7 papers), Sepsis Diagnosis and Treatment (5 papers) and Long-Term Effects of COVID-19 (4 papers). Mei Meng collaborates with scholars based in China, France and Hong Kong. Mei Meng's co-authors include Yufeng Chu, Xingguang Wang, Qingchun Yao, Peng Wang, Min Ding, Xue Bai, Weiming Liu, Wenqing Sun, Sheng Zhang and Dechang Chen and has published in prestigious journals such as Scientific Reports, Frontiers in Microbiology and PROTEOMICS.

In The Last Decade

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

Fields of papers citing papers by Mei Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Meng

Since Specialization
Citations

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