Tiane Dai

50 total papers · 1.2k total citations
25 papers, 566 citations indexed

About

Tiane Dai is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Tiane Dai has authored 25 papers receiving a total of 566 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 Retinoids in leukemia and cellular processes (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 Retinoids in leukemia and cellular processes (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 Pauline H. Yen, Eduardo Salido, Shanli Tsui, Janine LaPage, Sharon G. Adler, W. Schempp, Cynthia C. Nast, Stephen T. Warren, Yu‐Jui Yvonne Wan 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

Tiane Dai

21 papers receiving 559 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tiane Dai	318	176	85	73	50	25	566
Normand Vigneault	212 0.7×	50 0.3×	110 1.3×	62 0.8×	61 1.2×	19	568
Jukka Tienari	333 1.0×	83 0.5×	103 1.2×	37 0.5×	119 2.4×	31	594
Yan Shi	289 0.9×	55 0.3×	29 0.3×	65 0.9×	24 0.5×	47	667
Jun Tao	414 1.3×	41 0.2×	58 0.7×	19 0.3×	72 1.4×	17	646
Dwight E. Saunders	212 0.7×	211 1.2×	27 0.3×	43 0.6×	25 0.5×	18	673
H Rivera	404 1.3×	49 0.3×	18 0.2×	43 0.6×	44 0.9×	21	666
Yang Wang	229 0.7×	44 0.3×	291 3.4×	16 0.2×	68 1.4×	23	661
Linjian Mo	181 0.6×	62 0.4×	21 0.2×	52 0.7×	44 0.9×	27	563
Lionel J. Rosenzweig	302 0.9×	78 0.4×	260 3.1×	16 0.2×	75 1.5×	15	693
Valentina Martineti	196 0.6×	230 1.3×	29 0.3×	19 0.3×	53 1.1×	21	609

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).

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.

Co-authorship network of co-authors of Tiane Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Tiane Dai. A scholar is included among the top collaborators of Tiane Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tiane Dai. Tiane Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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