Bing Dai

84 papers and 1.3k indexed citations i.

About

Bing Dai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Bing Dai has authored 84 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pulmonary and Respiratory Medicine, 20 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Bing Dai’s work include Respiratory Support and Mechanisms (18 papers), Inhalation and Respiratory Drug Delivery (10 papers) and Airway Management and Intubation Techniques (7 papers). Bing Dai is often cited by papers focused on Respiratory Support and Mechanisms (18 papers), Inhalation and Respiratory Drug Delivery (10 papers) and Airway Management and Intubation Techniques (7 papers). Bing Dai collaborates with scholars based in China, United States and Belgium. Bing Dai's co-authors include Valentin David, L. Darryl Quarles, Aline Martin, Jinsong Huang, Hongwen Zhao, Jian Kang, Wei Tan, Na Yu, Weikuan Gu and Yan Jiao and has published in prestigious journals such as PLoS ONE, Endocrinology and Kidney International.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025