Lie Dai

105 papers and 1.4k indexed citations i.

About

Lie Dai is a scholar working on Rheumatology, Molecular Biology and Epidemiology. According to data from OpenAlex, Lie Dai has authored 105 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Rheumatology, 21 papers in Molecular Biology and 21 papers in Epidemiology. Recurrent topics in Lie Dai’s work include Rheumatoid Arthritis Research and Therapies (43 papers), Systemic Lupus Erythematosus Research (16 papers) and Gout, Hyperuricemia, Uric Acid (11 papers). Lie Dai is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (43 papers), Systemic Lupus Erythematosus Research (16 papers) and Gout, Hyperuricemia, Uric Acid (11 papers). Lie Dai collaborates with scholars based in China, United States and Germany. Lie Dai's co-authors include Ying‐Qian Mo, Jian‐Da Ma, Dong-Hui Zheng, Le‐Feng Chen, H. Ralph Schumacher, Jun Jing, Frank Peßler, Frank Pessler, Eugene Einhorn and Cèsar Díaz‐Torné and has published in prestigious journals such as Nature Communications, PLoS ONE and Kidney International.

In The Last Decade

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

Fields of papers citing papers by Lie Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lie Dai

Since Specialization
Citations

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