Shuan Dai

121 total papers · 2.1k total citations
65 papers, 746 citations indexed

About

Shuan Dai is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Epidemiology. According to data from OpenAlex, Shuan Dai has authored 65 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Ophthalmology and 20 papers in Epidemiology. Recurrent topics in Shuan Dai's work include Retinopathy of Prematurity Studies (26 papers), Neonatal Respiratory Health Research (17 papers) and Ophthalmology and Visual Impairment Studies (16 papers). Shuan Dai is often cited by papers focused on Retinopathy of Prematurity Studies (26 papers), Neonatal Respiratory Health Research (17 papers) and Ophthalmology and Visual Impairment Studies (16 papers). Shuan Dai collaborates with scholars based in New Zealand, Australia and Canada. Shuan Dai's co-authors include Joanna Black, Benjamin Thompson, Lisa M. Hamm, Zachary Tan, Charles N. J. McGhee, Andrea L. Vincent, Jane M. Alsweiler, Myra Leung, J. Raymond Buncic and Stephen P. Kraft and has published in prestigious journals such as The Lancet, Radiology and International Journal of Molecular Sciences.

In The Last Decade

Shuan Dai

59 papers receiving 720 citations

Author Peers

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

Author						Papers	Cites
Shuan Dai	364	303	277	204	188	65	746
Eric R. Crouch	286 0.8×	428 1.4×	413 1.5×	68 0.3×	266 1.4×	29	749
Marita Andersson Grönlund	228 0.6×	161 0.5×	207 0.7×	290 1.4×	112 0.6×	59	905
Heike M. Elflein	486 1.3×	255 0.8×	402 1.5×	115 0.6×	37 0.2×	47	872
Olav H. Haugen	282 0.8×	228 0.8×	235 0.8×	79 0.4×	42 0.2×	41	669
Hikmet Başmak	519 1.4×	258 0.9×	499 1.8×	82 0.4×	27 0.1×	56	814
Arvind Chandna	195 0.5×	357 1.2×	364 1.3×	41 0.2×	328 1.7×	51	879
Eedy Mezer	273 0.8×	287 0.9×	367 1.3×	59 0.3×	42 0.2×	58	674
Asimina Mataftsi	410 1.1×	206 0.7×	536 1.9×	75 0.4×	20 0.1×	77	870
Nikolaos Ziakas	414 1.1×	198 0.7×	465 1.7×	69 0.3×	15 0.1×	115	847
Mehmet Ali Şekeroğlu	405 1.1×	132 0.4×	489 1.8×	31 0.2×	31 0.2×	70	725

Countries citing papers authored by Shuan Dai

Since Specialization

Citations

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

Fields of papers citing papers by Shuan Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuan Dai

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