Tiane Dai

23 papers and 545 indexed citations i.

About

Tiane Dai is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Tiane Dai has authored 23 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Nephrology and 6 papers in Genetics. Recurrent topics in Tiane Dai’s work include Endoplasmic Reticulum Stress and Disease (4 papers), Chromosomal and Genetic Variations (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). Tiane Dai is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), Chromosomal and Genetic Variations (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). Tiane Dai collaborates with scholars based in United States, Spain and China. Tiane Dai's co-authors include Eduardo Salido, Pauline H. Yen, Shanli Tsui, Sharon G. Adler, Janine LaPage, Cynthia C. Nast, W. Schempp, Yu‐Jui Yvonne Wan, Stephen T. Warren and Y. Vera and has published in prestigious journals such as Endocrinology, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

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

Fields of papers citing papers by Tiane Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tiane Dai

Since Specialization
Citations

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