Wen Meng

17 papers and 355 indexed citations i.

About

Wen Meng is a scholar working on Physiology, Molecular Biology and Cancer Research. According to data from OpenAlex, Wen Meng has authored 17 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Wen Meng’s work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and MicroRNA in disease regulation (4 papers). Wen Meng is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and MicroRNA in disease regulation (4 papers). Wen Meng collaborates with scholars based in China, United States and Australia. Wen Meng's co-authors include Ting Xiao, Feng Liu, Fang Hu, Min Wang, Linyun He, Qi Dong, Suzhan Zhang, Shu Zheng, Lun Zhou and Hairong Luo and has published in prestigious journals such as Diabetes, The FASEB Journal and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

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

Fields of papers citing papers by Wen Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wen Meng

Since Specialization
Citations

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