Mao Yang

47 papers and 2.3k indexed citations i.

About

Mao Yang is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mao Yang has authored 47 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mao Yang’s work include Advanced Neural Network Applications (6 papers), Autophagy in Disease and Therapy (5 papers) and Cell death mechanisms and regulation (4 papers). Mao Yang is often cited by papers focused on Advanced Neural Network Applications (6 papers), Autophagy in Disease and Therapy (5 papers) and Cell death mechanisms and regulation (4 papers). Mao Yang collaborates with scholars based in China, United States and United Kingdom. Mao Yang's co-authors include Douglas R. Green, Cliff Guy, Patrick Fitzgerald, Jan U. Becker, Yi‐Nan Gong, Andreas Linkermann, Hannes Olauson, Clifford S. Guy, Bart Tummers and Brett J.W. Teubner and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Immunity.

In The Last Decade

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

Fields of papers citing papers by Mao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mao Yang

Since Specialization
Citations

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