Pingli Dai

1.7k total citations
67 papers, 1.3k citations indexed

About

Pingli Dai is a scholar working on Insect Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Pingli Dai has authored 67 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Insect Science, 54 papers in Genetics and 53 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Pingli Dai's work include Insect and Pesticide Research (66 papers), Insect and Arachnid Ecology and Behavior (54 papers) and Plant and animal studies (51 papers). Pingli Dai is often cited by papers focused on Insect and Pesticide Research (66 papers), Insect and Arachnid Ecology and Behavior (54 papers) and Plant and animal studies (51 papers). Pingli Dai collaborates with scholars based in China, United States and Switzerland. Pingli Dai's co-authors include Qingyun Diao, Yanyan Wu, Yong‐Jun Liu, Jamie Ellis, Cameron Jack, Ting Zhou, Ashley N. Mortensen, Chunsheng Hou, Shilong Ma and Feng Liu and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Pingli Dai

63 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pingli Dai China 21 1.1k 831 707 226 177 67 1.3k
Yanyan Wu China 18 571 0.5× 404 0.5× 390 0.6× 197 0.9× 120 0.7× 40 826
Zhenguo Liu China 18 594 0.5× 364 0.4× 386 0.5× 119 0.5× 189 1.1× 81 859
Rodrigo Cupertino Bernardes Brazil 17 497 0.4× 378 0.5× 287 0.4× 189 0.8× 61 0.3× 45 685
Hudson V. V. Tomé Brazil 20 952 0.8× 578 0.7× 447 0.6× 496 2.2× 215 1.2× 31 1.2k
Victor Limay‐Rios Canada 16 470 0.4× 288 0.3× 186 0.3× 471 2.1× 112 0.6× 30 877
Chris Mullin United States 9 1.4k 1.2× 1.2k 1.5× 1.1k 1.5× 143 0.6× 37 0.2× 9 1.5k
Jason A. Rothman United States 14 384 0.3× 329 0.4× 246 0.3× 72 0.3× 81 0.5× 29 618
Jitka Stará Czechia 14 563 0.5× 162 0.2× 115 0.2× 278 1.2× 207 1.2× 52 661
Klaus Wallner Germany 15 857 0.7× 612 0.7× 465 0.7× 146 0.6× 31 0.2× 33 918
Cecília Costa Italy 25 2.0k 1.7× 1.7k 2.1× 1.6k 2.3× 186 0.8× 24 0.1× 59 2.1k

Countries citing papers authored by Pingli Dai

Since Specialization
Citations

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

Fields of papers citing papers by Pingli Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingli Dai

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

All Works

20 of 20 papers shown
1.
Liu, Linlin, Min Shi, Yanyan Wu, et al.. (2025). Protective effects of resveratrol on honeybee health: Mitigating pesticide-induced oxidative stress and enhancing detoxification. Pesticide Biochemistry and Physiology. 210. 106403–106403. 1 indexed citations
2.
Li, Han, et al.. (2025). Polystyrene microplastics reduce honeybee survival by disrupting gut microbiota and metabolism. Environmental Toxicology and Pharmacology. 116. 104704–104704. 1 indexed citations
3.
Liu, Feng, et al.. (2025). Insecticide and pathogens co-exposure induces histomorphology changes in midgut and energy metabolism disorders on Apis mellifera. Pesticide Biochemistry and Physiology. 211. 106414–106414. 2 indexed citations
4.
Li, Wenmin, et al.. (2024). Impact of chlorantraniliprole on honey bees: Differential sensitivity and biological responses in Apis mellifera and Apis cerana. The Science of The Total Environment. 957. 177417–177417. 4 indexed citations
5.
Li, Bin, et al.. (2024). Early-Life Sublethal Exposure to Thiacloprid Alters Adult Honeybee Gut Microbiota. Genes. 15(8). 1001–1001. 1 indexed citations
6.
Yin, Linghong, et al.. (2023). Thiacloprid impairs honeybee worker learning and memory with inducing neuronal apoptosis and downregulating memory-related genes. The Science of The Total Environment. 885. 163820–163820. 28 indexed citations
7.
Gao, Jing, Yong Soo Choi, Dong Won Kim, et al.. (2023). Interaction of chlorothalonil and Varroa destructor on immature honey bees rearing in vitro. The Science of The Total Environment. 904. 166302–166302. 7 indexed citations
8.
Yin, Linghong, et al.. (2023). Early-Life Sublethal Thiacloprid Exposure to Honey Bee Larvae: Enduring Effects on Adult Bee Cognitive Abilities. Toxics. 12(1). 18–18. 4 indexed citations
9.
Gao, Jing, Shilong Ma, Xinling Wang, et al.. (2021). Tropilaelaps mercedesae parasitism changes behavior and gene expression in honey bee workers. PLoS Pathogens. 17(7). e1009684–e1009684. 9 indexed citations
10.
Guo, Yi, Qingyun Diao, Pingli Dai, et al.. (2021). The Effects of Exposure to Flupyradifurone on Survival, Development, and Foraging Activity of Honey Bees (Apis mellifera L.) under Field Conditions. Insects. 12(4). 357–357. 21 indexed citations
11.
Yang, Yang, et al.. (2020). Effects of Bt Cry78Ba1 Toxin on Larvae and Adults of Apis mellifera (Hymenoptera: Apidae). Journal of Economic Entomology. 114(1). 403–408. 6 indexed citations
12.
Ma, Shilong, Yang Yang, Zhongmin Fu, et al.. (2020). A combination of Tropilaelaps mercedesae and imidacloprid negatively affects survival, pollen consumption and midgut bacterial composition of honey bee. Chemosphere. 268. 129368–129368. 12 indexed citations
13.
Aqueel, Muhammad Anjum, et al.. (2020). The Larvicidal and Adulticidal Effects of Selected Plant Essential Oil Constituents on Greater Wax Moths. Journal of Economic Entomology. 114(1). 397–402. 11 indexed citations
14.
15.
Yang, Yang, Shilong Ma, Feng Liu, et al.. (2019). Acute and chronic toxicity of acetamiprid, carbaryl, cypermethrin and deltamethrin to Apis mellifera larvae reared in vitro. Pest Management Science. 76(3). 978–985. 45 indexed citations
16.
Hou, Chunsheng, et al.. (2019). Volatiles from Different Instars of Honeybee Worker Larvae and Their Food. Insects. 10(4). 118–118. 4 indexed citations
17.
Wang, Qiang, Pingli Dai, Ernesto Guzmán‐Novoa, et al.. (2019). Nosema ceranae, the most common microsporidium infecting Apis mellifera in the main beekeeping regions of China since at least 2005. Journal of Apicultural Research. 58(4). 562–566. 9 indexed citations
18.
Ma, Shilong, Yang Yang, Cameron Jack, et al.. (2019). Effects of Tropilaelaps mercedesae on midgut bacterial diversity of Apis mellifera. Experimental and Applied Acarology. 79(2). 169–186. 9 indexed citations
19.
Dai, Pingli, Shilong Ma, Yang Yang, et al.. (2018). The Herbicide Glyphosate Negatively Affects Midgut Bacterial Communities and Survival of Honey Bee during Larvae Reared in Vitro. Journal of Agricultural and Food Chemistry. 66(29). 7786–7793. 133 indexed citations
20.
Dai, Pingli, Cameron Jack, Ashley N. Mortensen, & Jamie Ellis. (2017). Acute toxicity of five pesticides to Apis mellifera larvae reared in vitro. Pest Management Science. 73(11). 2282–2286. 60 indexed citations

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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