Mei Dai

60 papers and 1.3k indexed citations i.

About

Mei Dai is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Mei Dai has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Physiology. Recurrent topics in Mei Dai’s work include Lysosomal Storage Disorders Research (5 papers), Immunotherapy and Immune Responses (5 papers) and Nanoparticle-Based Drug Delivery (5 papers). Mei Dai is often cited by papers focused on Lysosomal Storage Disorders Research (5 papers), Immunotherapy and Immune Responses (5 papers) and Nanoparticle-Based Drug Delivery (5 papers). Mei Dai collaborates with scholars based in China, United States and Saudi Arabia. Mei Dai's co-authors include Zhiyong Qian, Xingyi Li, Yu Wei, Dao Pan, Salim S. El‐Amouri, Maling Gou, Yuquan Wei, Bing Kan, Roscoe O. Brady and Ma Ling Gou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Bioresource Technology.

In The Last Decade

Co-authorship network of co-authors of Mei Dai i

Fields of papers citing papers by Mei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Dai

Since Specialization
Citations

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