Wei Dai

132 papers and 1.6k indexed citations i.

About

Wei Dai is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Wei Dai has authored 132 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Pulmonary and Respiratory Medicine, 34 papers in Oncology and 29 papers in Molecular Biology. Recurrent topics in Wei Dai’s work include Lung Cancer Diagnosis and Treatment (21 papers), Cancer survivorship and care (11 papers) and Head and Neck Cancer Studies (11 papers). Wei Dai is often cited by papers focused on Lung Cancer Diagnosis and Treatment (21 papers), Cancer survivorship and care (11 papers) and Head and Neck Cancer Studies (11 papers). Wei Dai collaborates with scholars based in China, United States and United Kingdom. Wei Dai's co-authors include Changfu Sun, Michael R. Kanost, Peter E. Dunn, Shaohui Huang, Chaoxian Geng, Qing Zhou, Zhongfei Xu, Qiuling Shi, Qiang Li and Xing Wei and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Wei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Dai

Since Specialization
Citations

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