Yan-Cheng Dai

43 total papers · 535 total citations
34 papers, 394 citations indexed

About

Yan-Cheng Dai is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Yan-Cheng Dai has authored 34 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Surgery and 10 papers in Epidemiology. Recurrent topics in Yan-Cheng Dai's work include Inflammatory Bowel Disease (9 papers), Pharmacological Effects of Natural Compounds (6 papers) and Helicobacter pylori-related gastroenterology studies (4 papers). Yan-Cheng Dai is often cited by papers focused on Inflammatory Bowel Disease (9 papers), Pharmacological Effects of Natural Compounds (6 papers) and Helicobacter pylori-related gastroenterology studies (4 papers). Yan-Cheng Dai collaborates with scholars based in China, United States and South Korea. Yan-Cheng Dai's co-authors include Zhipeng Tang, Lie Zheng, Deliang Chen, Yali Zhang, Yali Zhang, Dan Qiao, Yali Zhang, Zhipeng Tang, Xiong Sun and Xuan Chen and has published in prestigious journals such as Medicine, Journal of Vascular Surgery and World Journal of Gastroenterology.

In The Last Decade

Yan-Cheng Dai

33 papers receiving 391 citations

Author Peers

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

Author Last Decade Papers Cites
Yan-Cheng Dai 174 119 79 76 76 34 394
Minyao Li 225 1.3× 109 0.9× 96 1.2× 47 0.6× 80 1.1× 20 430
Lie Zheng 236 1.4× 112 0.9× 59 0.7× 57 0.8× 67 0.9× 23 383
Zhongmei Sun 238 1.4× 88 0.7× 53 0.7× 55 0.7× 67 0.9× 22 388
Jinxin Ma 199 1.1× 60 0.5× 67 0.8× 65 0.9× 33 0.4× 30 427
Luigia De Fazio 118 0.7× 70 0.6× 38 0.5× 60 0.8× 50 0.7× 16 389
Honggang Chi 155 0.9× 93 0.8× 63 0.8× 39 0.5× 43 0.6× 26 386
Zhaofeng Shen 219 1.3× 140 1.2× 66 0.8× 59 0.8× 55 0.7× 17 395
Anastasios Angelou 130 0.7× 103 0.9× 24 0.3× 115 1.5× 49 0.6× 28 441
Yugen Chen 169 1.0× 80 0.7× 50 0.6× 80 1.1× 56 0.7× 24 360
José Miguel Luz Parente 73 0.4× 149 1.3× 37 0.5× 118 1.6× 87 1.1× 29 407

Countries citing papers authored by Yan-Cheng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yan-Cheng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan-Cheng Dai

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