Liangying Dai

115 total papers · 3.2k total citations
76 papers, 2.4k citations indexed

About

Liangying Dai is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Liangying Dai has authored 76 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Plant Science, 39 papers in Molecular Biology and 13 papers in Insect Science. Recurrent topics in Liangying Dai's work include Plant-Microbe Interactions and Immunity (26 papers), Plant Virus Research Studies (13 papers) and Plant Molecular Biology Research (13 papers). Liangying Dai is often cited by papers focused on Plant-Microbe Interactions and Immunity (26 papers), Plant Virus Research Studies (13 papers) and Plant Molecular Biology Research (13 papers). Liangying Dai collaborates with scholars based in China, United States and Singapore. Liangying Dai's co-authors include Guo‐Liang Wang, Xionglun Liu, Jinling Liu, Lirong Zeng, Maria Bellizzi, Guifu Liu, Shaohong Qu, Bo Zhou, Bin Han and Xuejun Wang and has published in prestigious journals such as PLoS ONE, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Liangying Dai

73 papers receiving 2.3k citations

Author Peers

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

Author Last Decade Papers Cites
Liangying Dai 2.0k 1.0k 360 233 177 76 2.4k
Jenny Morris 2.4k 1.2× 926 0.9× 282 0.8× 218 0.9× 155 0.9× 70 2.8k
Sanzhen Liu 2.6k 1.3× 1.4k 1.4× 559 1.6× 180 0.8× 103 0.6× 74 3.1k
Laurent Gentzbittel 2.9k 1.4× 787 0.8× 453 1.3× 135 0.6× 95 0.5× 88 3.1k
Leah K. McHale 2.3k 1.1× 628 0.6× 358 1.0× 270 1.2× 68 0.4× 72 2.5k
Hui Chen 1.5k 0.8× 999 1.0× 206 0.6× 272 1.2× 192 1.1× 88 2.5k
Hongbo Liu 2.5k 1.2× 1.2k 1.2× 180 0.5× 155 0.7× 215 1.2× 43 2.8k
Sihai Yang 2.1k 1.0× 1.4k 1.3× 697 1.9× 202 0.9× 152 0.9× 68 2.9k
Richard C. Pratt 1.6k 0.8× 395 0.4× 580 1.6× 159 0.7× 162 0.9× 68 2.0k
Marc Ghislain 2.3k 1.1× 970 1.0× 311 0.9× 195 0.8× 187 1.1× 79 2.9k
M. Sheshu Madhav 1.7k 0.8× 677 0.7× 471 1.3× 161 0.7× 127 0.7× 119 1.9k

Countries citing papers authored by Liangying Dai

Since Specialization
Citations

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

Fields of papers citing papers by Liangying Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangying Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Liangying Dai. A scholar is included among the top collaborators of Liangying 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 Liangying Dai. Liangying 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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2026