Mao Shu

27 papers and 394 indexed citations i.

About

Mao Shu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Mao Shu has authored 27 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 6 papers in Oncology. Recurrent topics in Mao Shu’s work include Computational Drug Discovery Methods (16 papers), Chemical Synthesis and Analysis (4 papers) and Machine Learning in Bioinformatics (4 papers). Mao Shu is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Chemical Synthesis and Analysis (4 papers) and Machine Learning in Bioinformatics (4 papers). Mao Shu collaborates with scholars based in China, United States and Russia. Mao Shu's co-authors include Mei Hu, Weida Tong, Huixiao Hong, Heng Luo, Weigong Ge, Zhiliang Li, Hui Wen Ng, Roger Perkins, Yong‐Jun Jiang and Yang Li and has published in prestigious journals such as Chemistry - A European Journal, Molecules and BMC Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Mao Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mao Shu

Since Specialization
Citations

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