Bing Dai

28 papers and 1.2k indexed citations i.

About

Bing Dai is a scholar working on Nephrology, Genetics and Molecular Biology. According to data from OpenAlex, Bing Dai has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nephrology, 12 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in Bing Dai’s work include Genetic and Kidney Cyst Diseases (11 papers), Renal Diseases and Glomerulopathies (6 papers) and Acute Kidney Injury Research (4 papers). Bing Dai is often cited by papers focused on Genetic and Kidney Cyst Diseases (11 papers), Renal Diseases and Glomerulopathies (6 papers) and Acute Kidney Injury Research (4 papers). Bing Dai collaborates with scholars based in China, United States and Switzerland. Bing Dai's co-authors include Changlin Mei, Lili Fu, Yiyi Ma, Rudolf P. Wüthrich, Dongping Chen, Lin Li, Xiaohong Xing, Xiaohong Hu, Lijun Sun and Jie Zhou and has published in prestigious journals such as PLoS ONE, Kidney International and American Journal of Kidney Diseases.

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