Wenling Dai

36 total papers · 658 total citations
29 papers, 523 citations indexed

About

Wenling Dai is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Wenling Dai has authored 29 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Wenling Dai's work include Pain Mechanisms and Treatments (14 papers), Neuroscience and Neuropharmacology Research (6 papers) and Pharmacological Effects of Natural Compounds (5 papers). Wenling Dai is often cited by papers focused on Pain Mechanisms and Treatments (14 papers), Neuroscience and Neuropharmacology Research (6 papers) and Pharmacological Effects of Natural Compounds (5 papers). Wenling Dai collaborates with scholars based in China, United States and India. Wenling Dai's co-authors include Jihua Liu, Boyang Yu, Bing Yan, Xiufeng Liu, Wentao Liu, Wanli Zhao, Liang Hu, Shanshan Li, Cailong Pan and Bin Ma and has published in prestigious journals such as Cell Metabolism, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Wenling Dai

26 papers receiving 521 citations

Author Peers

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

Author Last Decade Papers Cites
Wenling Dai 213 195 112 80 75 29 523
Leandro F.S. Bastos 178 0.8× 190 1.0× 70 0.6× 97 1.2× 65 0.9× 24 573
Filomena Lauro 260 1.2× 199 1.0× 86 0.8× 59 0.7× 49 0.7× 20 565
Vivek Jain 327 1.5× 146 0.7× 127 1.1× 105 1.3× 76 1.0× 25 611
Tianyu Jia 297 1.4× 207 1.1× 112 1.0× 79 1.0× 56 0.7× 21 616
Jianqiang Yu 155 0.7× 204 1.0× 66 0.6× 119 1.5× 62 0.8× 27 514
Zahra Hajializadeh 132 0.6× 106 0.5× 61 0.5× 57 0.7× 45 0.6× 34 547
Liran Shi 234 1.1× 159 0.8× 95 0.8× 70 0.9× 35 0.5× 21 494
Andy Kuo 174 0.8× 208 1.1× 153 1.4× 36 0.5× 62 0.8× 34 549
Ling Qu 142 0.7× 206 1.1× 56 0.5× 66 0.8× 51 0.7× 35 565
Huilong Yuan 264 1.2× 172 0.9× 98 0.9× 68 0.8× 42 0.6× 20 556

Countries citing papers authored by Wenling Dai

Since Specialization
Citations

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

Fields of papers citing papers by Wenling Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenling Dai

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