Xueling Dai

50 total papers · 1.2k total citations
40 papers, 978 citations indexed

About

Xueling Dai is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Xueling Dai has authored 40 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 10 papers in Molecular Biology and 9 papers in Pharmacology. Recurrent topics in Xueling Dai's work include Alzheimer's disease research and treatments (18 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Xueling Dai is often cited by papers focused on Alzheimer's disease research and treatments (18 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Xueling Dai collaborates with scholars based in China, Canada and United States. Xueling Dai's co-authors include Yaxuan Sun, Zhao-Feng Jiang, Han‐Chang Huang, Shuang Liang, Ke Xu, Qiusheng Zheng, Yaxuan Sun, Shiliang Jia, Shigong Zhu and Xiaoxiao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Xueling Dai

36 papers receiving 968 citations

Author Peers

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

Author Last Decade Papers Cites
Xueling Dai 437 325 148 120 104 40 978
Nanteetip Limpeanchob 361 0.8× 140 0.4× 221 1.5× 197 1.6× 147 1.4× 45 1.1k
Sagar Barage 372 0.9× 349 1.1× 70 0.5× 164 1.4× 62 0.6× 35 917
Peng Sun 408 0.9× 120 0.4× 147 1.0× 56 0.5× 68 0.7× 70 1.2k
Anirban Ganguly 377 0.9× 224 0.7× 91 0.6× 71 0.6× 64 0.6× 29 1.2k
Stéphanie Andrade 412 0.9× 361 1.1× 231 1.6× 202 1.7× 51 0.5× 29 1.1k
Anuradha Yadav 382 0.9× 244 0.8× 66 0.4× 92 0.8× 71 0.7× 25 1.0k
Kailas D. Sonawane 281 0.6× 323 1.0× 61 0.4× 157 1.3× 100 1.0× 37 953
Yong Sze Ong 483 1.1× 173 0.5× 121 0.8× 69 0.6× 94 0.9× 40 1.1k
Thuy Trang Nguyen 307 0.7× 279 0.9× 85 0.6× 117 1.0× 36 0.3× 38 1.1k
Saurabh Gupta 226 0.5× 126 0.4× 58 0.4× 109 0.9× 102 1.0× 51 808

Countries citing papers authored by Xueling Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xueling Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueling Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xueling Dai. A scholar is included among the top collaborators of Xueling 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 Xueling Dai. Xueling Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026