Bing Dai

14 papers and 499 indexed citations i.

About

Bing Dai is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Bing Dai has authored 14 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Epidemiology. Recurrent topics in Bing Dai’s work include Cancer-related molecular mechanisms research (3 papers), Probiotics and Fermented Foods (2 papers) and Bone Metabolism and Diseases (2 papers). Bing Dai is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Probiotics and Fermented Foods (2 papers) and Bone Metabolism and Diseases (2 papers). Bing Dai collaborates with scholars based in China, United States and Hong Kong. Bing Dai's co-authors include Meng‐Lin Yang, Chengxi Zeng, Feng Bi, Fang Wang, Hong Xu, Qilin Zhang, Fang Liu, Dandan Yuan, Xianming Mo and Wentong Meng and has published in prestigious journals such as The EMBO Journal, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

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

Fields of papers citing papers by Bing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bing Dai

Since Specialization
Citations

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