Jun Mao

46 papers and 1.8k indexed citations i.

About

Jun Mao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jun Mao has authored 46 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 20 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Jun Mao’s work include MicroRNA in disease regulation (9 papers), Cancer Cells and Metastasis (9 papers) and Epigenetics and DNA Methylation (8 papers). Jun Mao is often cited by papers focused on MicroRNA in disease regulation (9 papers), Cancer Cells and Metastasis (9 papers) and Epigenetics and DNA Methylation (8 papers). Jun Mao collaborates with scholars based in China, United States and Australia. Jun Mao's co-authors include Ying Lü, Lianhong Li, Bo Song, Lianhong Li, Qingqing Zhang, Tao Qin, Xiaotang Yu, Shujun Fan, Qun Zhang and L Wang and has published in prestigious journals such as Nature Communications, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

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

Fields of papers citing papers by Jun Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Mao

Since Specialization
Citations

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