Lan Dai

39 papers and 682 indexed citations i.

About

Lan Dai is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Lan Dai has authored 39 papers receiving a total of 682 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 Cell Biology. Recurrent topics in Lan Dai’s work include Sphingolipid Metabolism and Signaling (10 papers), Retinoids in leukemia and cellular processes (6 papers) and Caveolin-1 and cellular processes (5 papers). Lan Dai is often cited by papers focused on Sphingolipid Metabolism and Signaling (10 papers), Retinoids in leukemia and cellular processes (6 papers) and Caveolin-1 and cellular processes (5 papers). Lan Dai collaborates with scholars based in China and Australia. Lan Dai's co-authors include Wen Di, Lihua Qiu, Liankun Gu, Pu Xia, Xingchen Zhou, Liying Gu, Yanfei Qi, Wenwen Wang, Yunfei Wang and Yuan Hu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Lan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lan Dai

Since Specialization
Citations

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