Zhi Dai

About

Zhi Dai is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Zhi Dai has authored 16 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Immunology. Recurrent topics in Zhi Dai’s work include Peptidase Inhibition and Analysis (3 papers), Cancer Mechanisms and Therapy (3 papers) and Cancer, Lipids, and Metabolism (1 paper). Zhi Dai is often cited by papers focused on Peptidase Inhibition and Analysis (3 papers), Cancer Mechanisms and Therapy (3 papers) and Cancer, Lipids, and Metabolism (1 paper). Zhi Dai collaborates with scholars based in China, Hong Kong and India. Zhi Dai's co-authors include Jia Fan, Jian Zhou, Kai Zhu, Xiaowu Huang, Zheng Wang, Shao‐Lai Zhou, Ai‐Wu Ke, Ya Cao, Zheng Wang and Zhiqiang Hu and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

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

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Fields of papers citing papers by Zhi Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zhi Dai

Since Specialization

Citations

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