Yun Dai Chen

23 total papers · 632 total citations
22 papers, 509 citations indexed

About

Yun Dai Chen is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yun Dai Chen has authored 22 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 7 papers in Pathology and Forensic Medicine and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yun Dai Chen's work include Acute Myocardial Infarction Research (4 papers), Vitamin D Research Studies (4 papers) and Cardiac Ischemia and Reperfusion (3 papers). Yun Dai Chen is often cited by papers focused on Acute Myocardial Infarction Research (4 papers), Vitamin D Research Studies (4 papers) and Cardiac Ischemia and Reperfusion (3 papers). Yun Dai Chen collaborates with scholars based in China, United States and Philippines. Yun Dai Chen's co-authors include Wei Ren Chen, Yuan Sha, Feng Tian, Yang Shi, Qing Ning, Ping Zhu, Jing Wang, Hongbin Liu, Qiang Ma and Yang Mu and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and American Heart Journal.

In The Last Decade

Yun Dai Chen

21 papers receiving 496 citations

Author Peers

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

Author Last Decade Papers Cites
Yun Dai Chen 181 171 158 128 85 22 509
Wei Ren Chen 183 1.0× 194 1.1× 158 1.0× 189 1.5× 84 1.0× 16 617
Yuan Xu 100 0.6× 96 0.6× 93 0.6× 137 1.1× 49 0.6× 35 533
Kadon K. Hintz 236 1.3× 86 0.5× 98 0.6× 184 1.4× 39 0.5× 16 531
Entesar F. Amin 94 0.5× 114 0.7× 118 0.7× 155 1.2× 73 0.9× 15 582
Emiliano Diez 190 1.0× 92 0.5× 78 0.5× 168 1.3× 45 0.5× 41 611
Mayu Tochiya 140 0.8× 86 0.5× 254 1.6× 117 0.9× 101 1.2× 17 567
Carmem Luíza Sartório 187 1.0× 118 0.7× 102 0.6× 164 1.3× 63 0.7× 30 479
Tsai‐Fwu Chou 214 1.2× 228 1.3× 120 0.8× 143 1.1× 95 1.1× 16 531
Gauri Akolkar 257 1.4× 58 0.3× 91 0.6× 164 1.3× 41 0.5× 16 567
Natália A. Gonzaga 162 0.9× 101 0.6× 76 0.5× 89 0.7× 89 1.0× 23 493

Countries citing papers authored by Yun Dai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yun Dai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Dai Chen

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