Kun Meng

18 papers and 460 indexed citations i.

About

Kun Meng is a scholar working on Pharmacology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Kun Meng has authored 18 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 6 papers in Cancer Research and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Kun Meng’s work include Medicinal Plant Pharmacodynamics Research (8 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer Mechanisms and Therapy (4 papers). Kun Meng is often cited by papers focused on Medicinal Plant Pharmacodynamics Research (8 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer Mechanisms and Therapy (4 papers). Kun Meng collaborates with scholars based in China, Canada and Hungary. Kun Meng's co-authors include Bin Ye, Limin Zheng, Dan Feng, Yanhong Jia, Lixin Xie, Huijuan Wang, Lian Li, Shu Li, Huimin Tao and Jun Jiang and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Kun Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Meng

Since Specialization
Citations

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