Gan Dai

14 papers and 806 indexed citations i.

About

Gan Dai is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Gan Dai has authored 14 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Gan Dai’s work include Cancer-related molecular mechanisms research (3 papers), Glioma Diagnosis and Treatment (3 papers) and Antimicrobial Peptides and Activities (3 papers). Gan Dai is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Glioma Diagnosis and Treatment (3 papers) and Antimicrobial Peptides and Activities (3 papers). Gan Dai collaborates with scholars based in China and United States. Gan Dai's co-authors include Liyu Chen, Linqian Wang, Guojun Wu, Yapeng Zhang, Feizhou Zhu, Qianqian Liu, Zhongyi Cheng, Lakshmi T. Sunkara, Weiyu Jiang and Guolong Zhang and has published in prestigious journals such as PLoS ONE, Experimental Biology and Medicine and Journal of Proteome Research.

In The Last Decade

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

Fields of papers citing papers by Gan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gan Dai

Since Specialization
Citations

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