Q Mai

About

Q Mai is a scholar working on Civil and Structural Engineering, Building and Construction and Molecular Biology. According to data from OpenAlex, Q Mai has authored 5 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Civil and Structural Engineering, 2 papers in Building and Construction and 1 paper in Molecular Biology. Recurrent topics in Q Mai’s work include Concrete and Cement Materials Research (2 papers), Reproductive Physiology in Livestock (1 paper) and Ruminant Nutrition and Digestive Physiology (1 paper). Q Mai is often cited by papers focused on Concrete and Cement Materials Research (2 papers), Reproductive Physiology in Livestock (1 paper) and Ruminant Nutrition and Digestive Physiology (1 paper). Q Mai collaborates with scholars based in China and United States. Q Mai's co-authors include Robert H. Weiss, Harlan E. Ives, Emily Wilson, Krishnankutty Sudhir, Xuan Sun, Hui Li, Wenhuan Liu, Tongsheng Zhang, Guomin Zhang and Ziwei Yan and has published in prestigious journals such as The Journal of Cell Biology, The FASEB Journal and Construction and Building Materials.

In The Last Decade

Co-authorship network of co-authors of Q Mai i

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Fields of papers citing papers by Q Mai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Q Mai

Since Specialization

Citations

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