Huanzi Dai

27 papers and 478 indexed citations i.

About

Huanzi Dai is a scholar working on Molecular Biology, Nephrology and Pathology and Forensic Medicine. According to data from OpenAlex, Huanzi Dai has authored 27 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Nephrology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Huanzi Dai’s work include Chronic Kidney Disease and Diabetes (6 papers), Renal Diseases and Glomerulopathies (5 papers) and Renal and related cancers (4 papers). Huanzi Dai is often cited by papers focused on Chronic Kidney Disease and Diabetes (6 papers), Renal Diseases and Glomerulopathies (5 papers) and Renal and related cancers (4 papers). Huanzi Dai collaborates with scholars based in China. Huanzi Dai's co-authors include Yani He, Qiao‐Nan Guo, Gang Meng, Li-Rong Lin, Yangfan Lv, Kehong Chen, Yu‐Sheng Huang, Xi Zhang, Guangning Yan and Kailong Li and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Kidney International.

In The Last Decade

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

Fields of papers citing papers by Huanzi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Huanzi Dai

Since Specialization
Citations

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