Jun Meng

20 papers and 354 indexed citations i.

About

Jun Meng is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jun Meng has authored 20 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Jun Meng’s work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (2 papers) and MicroRNA in disease regulation (2 papers). Jun Meng is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (2 papers) and MicroRNA in disease regulation (2 papers). Jun Meng collaborates with scholars based in China and United States. Jun Meng's co-authors include Yanyan Yu, Lu Liu, Midie Xu, Lu Gan, Cong Tan, Yongping Liu, Weiqi Sheng, Yicheng Qi, Yunpu Wang and Weiwei Weng and has published in prestigious journals such as Oncogene, Experimental Cell Research and Life Sciences.

In The Last Decade

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

Fields of papers citing papers by Jun Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Meng

Since Specialization
Citations

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