Xiangchen Dai

119 total papers · 987 total citations
69 papers, 695 citations indexed

About

Xiangchen Dai is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xiangchen Dai has authored 69 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Pulmonary and Respiratory Medicine, 27 papers in Surgery and 23 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xiangchen Dai's work include Aortic aneurysm repair treatments (40 papers), Aortic Disease and Treatment Approaches (32 papers) and Infectious Aortic and Vascular Conditions (14 papers). Xiangchen Dai is often cited by papers focused on Aortic aneurysm repair treatments (40 papers), Aortic Disease and Treatment Approaches (32 papers) and Infectious Aortic and Vascular Conditions (14 papers). Xiangchen Dai collaborates with scholars based in China, United States and Canada. Xiangchen Dai's co-authors include Bao Ting Zhu, Feng Qi, Ding Ai, Hongfeng Jiang, Yuxin Wang, Zhipeng Chen, Yao Liu, Dawei Wu, Biqing Wang and Mengqi Li and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Scientific Reports.

In The Last Decade

Xiangchen Dai

57 papers receiving 688 citations

Author Peers

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

Author						Papers	Cites
Xiangchen Dai	252	231	144	120	111	69	695
Yang Xu	165 0.7×	92 0.4×	198 1.4×	22 0.2×	67 0.6×	39	739
Lucian P. Jiga	45 0.2×	342 1.5×	62 0.4×	150 1.3×	157 1.4×	52	701
Qing Zhao	348 1.4×	76 0.3×	89 0.6×	27 0.2×	83 0.7×	79	731
Zhongqun Zhu	238 0.9×	252 1.1×	161 1.1×	57 0.5×	17 0.2×	54	717
Lihong Li	127 0.5×	79 0.3×	143 1.0×	13 0.1×	166 1.5×	54	714
Kun Jin	192 0.8×	144 0.6×	167 1.2×	22 0.2×	61 0.5×	75	729
Tao Liu	59 0.2×	252 1.1×	268 1.9×	23 0.2×	91 0.8×	61	706
M Zara	55 0.2×	63 0.3×	292 2.0×	27 0.2×	92 0.8×	47	725
Wei Wu	106 0.4×	140 0.6×	151 1.0×	18 0.1×	24 0.2×	39	728
Kai Zhang	135 0.5×	117 0.5×	133 0.9×	31 0.3×	28 0.3×	44	680

Countries citing papers authored by Xiangchen Dai

Since Specialization

Citations

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

Fields of papers citing papers by Xiangchen Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangchen Dai

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