Dai

88 papers and 420 indexed citations i.

About

Dai is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dai has authored 88 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 13 papers in Surgery and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dai’s work include Helicobacter pylori-related gastroenterology studies (5 papers), Anesthesia and Neurotoxicity Research (4 papers) and Eosinophilic Esophagitis (3 papers). Dai is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (5 papers), Anesthesia and Neurotoxicity Research (4 papers) and Eosinophilic Esophagitis (3 papers). Dai collaborates with scholars based in China and Germany. Dai's co-authors include Yan Yan, Zhou, Xing Yao, Zhang, Guzmán, Guo, Li, Yi ̆, Yan and Chao and has published in prestigious journals such as Clinical & Experimental Allergy, The Veterinary Journal and Oncology Reports.

In The Last Decade

Co-authorship network of co-authors of Dai i

Fields of papers citing papers by Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dai

Since Specialization
Citations

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