Dong Dai

15 total papers · 465 total citations
13 papers, 242 citations indexed

About

Dong Dai is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Dong Dai has authored 13 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 4 papers in Epidemiology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Dong Dai's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Acute Ischemic Stroke Management (4 papers) and Cardiovascular Health and Disease Prevention (3 papers). Dong Dai is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Acute Ischemic Stroke Management (4 papers) and Cardiovascular Health and Disease Prevention (3 papers). Dong Dai collaborates with scholars based in China, United States and Spain. Dong Dai's co-authors include Liying Xing, Yuanmeng Tian, Qun Sun, Lei Shi, Jing Li, Shuang Liu, Yan Han, Wenrui Shi, Zhi Du and Shuang Liu and has published in prestigious journals such as Cancer, BMC Public Health and Heart.

In The Last Decade

Dong Dai

12 papers receiving 237 citations

Author Peers

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

Author						Papers	Cites
Dong Dai	111	98	90	37	32	13	242
Lekshmi Vaidyanathan	111 1.0×	119 1.2×	71 0.8×	35 0.9×	56 1.8×	11	311
Gaofeng Pan	90 0.8×	86 0.9×	65 0.7×	63 1.7×	42 1.3×	14	284
Ji Hong You	131 1.2×	72 0.7×	153 1.7×	27 0.7×	41 1.3×	11	280
Min Lin	112 1.0×	65 0.7×	68 0.8×	32 0.9×	47 1.5×	16	276
Yongkang Su	134 1.2×	70 0.7×	94 1.0×	18 0.5×	33 1.0×	18	279
Chenguang Yang	107 1.0×	152 1.6×	119 1.3×	36 1.0×	38 1.2×	16	326
Xinlei Miao	138 1.2×	80 0.8×	135 1.5×	26 0.7×	55 1.7×	19	274
Cancan Cui	99 0.9×	122 1.2×	144 1.6×	16 0.4×	25 0.8×	18	287
Ilias Kanellos	82 0.7×	44 0.4×	53 0.6×	15 0.4×	47 1.5×	14	269
Liying Guan	39 0.4×	104 1.1×	147 1.6×	16 0.4×	18 0.6×	17	258

Countries citing papers authored by Dong Dai

Since Specialization

Citations

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

Fields of papers citing papers by Dong Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Dai

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