Dai Kuang

21 papers and 351 indexed citations i.

About

Dai Kuang is a scholar working on Food Science, Molecular Medicine and Endocrinology. According to data from OpenAlex, Dai Kuang has authored 21 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Food Science, 9 papers in Molecular Medicine and 9 papers in Endocrinology. Recurrent topics in Dai Kuang’s work include Salmonella and Campylobacter epidemiology (14 papers), Antibiotic Resistance in Bacteria (9 papers) and Vibrio bacteria research studies (8 papers). Dai Kuang is often cited by papers focused on Salmonella and Campylobacter epidemiology (14 papers), Antibiotic Resistance in Bacteria (9 papers) and Vibrio bacteria research studies (8 papers). Dai Kuang collaborates with scholars based in China, United States and Taiwan. Dai Kuang's co-authors include Xuebin Xu, Jianghong Meng, Xiaowei Yang, Jianmin Zhang, Xianming Shi, Weimin Shi, Guojie Cao, Zhao Chen, Jing Zhang and Sheng Chen and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Dai Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dai Kuang

Since Specialization
Citations

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