Qiuyun Dai

90 total papers · 1.3k total citations
59 papers, 1.1k citations indexed

About

Qiuyun Dai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Qiuyun Dai has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 6 papers in Infectious Diseases. Recurrent topics in Qiuyun Dai's work include Nicotinic Acetylcholine Receptors Study (32 papers), Receptor Mechanisms and Signaling (26 papers) and Ion channel regulation and function (12 papers). Qiuyun Dai is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (32 papers), Receptor Mechanisms and Signaling (26 papers) and Ion channel regulation and function (12 papers). Qiuyun Dai collaborates with scholars based in China, United States and Australia. Qiuyun Dai's co-authors include Mingxin Dong, Zhuguo Liu, Mary Prorok, Francis Castellino, Shibo Jiang, Hong Lü, Oleg Sadovski, G. Andrew Woolley, Amirhossein Babalhavaeji and Zhi Qi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Qiuyun Dai

56 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Qiuyun Dai	590	289	192	185	182	59	1.1k
David Farquhar	740 1.3×	226 0.8×	94 0.5×	42 0.2×	277 1.5×	48	1.5k
Serge Mazères	598 1.0×	178 0.6×	37 0.2×	165 0.9×	75 0.4×	43	1.2k
Nicolas Floquet	888 1.5×	177 0.6×	95 0.5×	86 0.5×	51 0.3×	45	1.4k
Clark W. Smith	877 1.5×	88 0.3×	87 0.5×	87 0.5×	112 0.6×	71	1.3k
Mary Prorok	773 1.3×	306 1.1×	51 0.3×	33 0.2×	63 0.3×	53	1.1k
Mauro Marastoni	893 1.5×	323 1.1×	134 0.7×	92 0.5×	51 0.3×	99	1.4k
Thomas Lemmin	857 1.5×	83 0.3×	44 0.2×	167 0.9×	45 0.2×	40	1.2k
Bindukumar Nair	386 0.7×	66 0.2×	161 0.8×	71 0.4×	76 0.4×	37	971
Kohei Umezu	587 1.0×	117 0.4×	218 1.1×	41 0.2×	326 1.8×	61	1.4k
Jordan H. Chill	805 1.4×	112 0.4×	50 0.3×	133 0.7×	27 0.1×	54	1.2k

Countries citing papers authored by Qiuyun Dai

Since Specialization

Citations

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

Fields of papers citing papers by Qiuyun Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiuyun Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Qiuyun Dai. A scholar is included among the top collaborators of Qiuyun 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 Qiuyun Dai. Qiuyun 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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