Kezhi Dai

20 papers and 672 indexed citations i.

About

Kezhi Dai is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Kezhi Dai has authored 20 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cell Biology and 3 papers in Physiology. Recurrent topics in Kezhi Dai’s work include Sphingolipid Metabolism and Signaling (6 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Kezhi Dai is often cited by papers focused on Sphingolipid Metabolism and Signaling (6 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Kezhi Dai collaborates with scholars based in United States, China and Saudi Arabia. Kezhi Dai's co-authors include M. Mahmood Hussain, Jahangir Iqbal, Bozhi Ye, Zhihua Han, Zhenyu Dai, Peiren Shan, Zhongqiu Lu, Zhouqing Huang, Changqian Wang and Weijian Huang and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Hepatology.

In The Last Decade

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

Fields of papers citing papers by Kezhi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kezhi Dai

Since Specialization
Citations

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