Xiangpeng Dai

65 total papers · 982 total citations
44 papers, 609 citations indexed

About

Xiangpeng Dai is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Xiangpeng Dai has authored 44 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Public Health, Environmental and Occupational Health and 10 papers in Oncology. Recurrent topics in Xiangpeng Dai's work include Reproductive Biology and Fertility (13 papers), Pluripotent Stem Cells Research (9 papers) and CRISPR and Genetic Engineering (7 papers). Xiangpeng Dai is often cited by papers focused on Reproductive Biology and Fertility (13 papers), Pluripotent Stem Cells Research (9 papers) and CRISPR and Genetic Engineering (7 papers). Xiangpeng Dai collaborates with scholars based in China, United States and France. Xiangpeng Dai's co-authors include Ziyi Li, Yanhui Zhai, Meng Zhang, Sheng Zhang, Xiaoling Zhang, Qi Zhou, Yurong Chen, Luyao Wang, Liu Wang and Xinglan An and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiangpeng Dai

43 papers receiving 600 citations

Author Peers

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

Author Last Decade Papers Cites
Xiangpeng Dai 422 132 120 97 78 44 609
J. L. Schwartz 357 0.8× 175 1.3× 61 0.5× 102 1.1× 94 1.2× 39 595
Jin Zheng 385 0.9× 129 1.0× 129 1.1× 79 0.8× 50 0.6× 36 680
Ai Yamada 232 0.5× 108 0.8× 83 0.7× 94 1.0× 45 0.6× 57 556
Yunyan Sun 322 0.8× 121 0.9× 67 0.6× 122 1.3× 52 0.7× 32 543
Zhiming Cai 423 1.0× 215 1.6× 64 0.5× 108 1.1× 77 1.0× 28 676
Weishuai Liu 242 0.6× 89 0.7× 121 1.0× 105 1.1× 62 0.8× 41 603
Kun Shi 284 0.7× 103 0.8× 70 0.6× 81 0.8× 54 0.7× 35 696
Dong Zhang 320 0.8× 139 1.1× 26 0.2× 88 0.9× 79 1.0× 46 656
Yu Zhang 256 0.6× 58 0.4× 109 0.9× 82 0.8× 32 0.4× 63 693
Yoko Ino 282 0.7× 97 0.7× 46 0.4× 87 0.9× 51 0.7× 37 508

Countries citing papers authored by Xiangpeng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiangpeng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangpeng Dai

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