Binli Mao

9 papers and 274 indexed citations i.

About

Binli Mao is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Binli Mao has authored 9 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in Binli Mao’s work include SARS-CoV-2 and COVID-19 Research (3 papers), Extracellular vesicles in disease (2 papers) and RNA Interference and Gene Delivery (2 papers). Binli Mao is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Extracellular vesicles in disease (2 papers) and RNA Interference and Gene Delivery (2 papers). Binli Mao collaborates with scholars based in China, Germany and South Korea. Binli Mao's co-authors include Yong Lin, Zhenyu Zhao, Kefeng Lu, Rongjuan Pei, Hao Sun, Huihui Li, Yabin Zhang, Ailong Huang, Mengji Lu and Yingying Deng and has published in prestigious journals such as Journal of Controlled Release, Frontiers in Immunology and Virus Research.

In The Last Decade

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

Fields of papers citing papers by Binli Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Binli Mao

Since Specialization
Citations

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