Pingli Dai
Impact in
- Insect Science top 0.5%
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
- Bee Products Chemical Analysis
- Insect symbiosis and bacterial influences
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- Plant and animal studies
Papers in
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- Insect and Pesticide Research 67
- Bee Products Chemical Analysis 4
- Insect-Plant Interactions and Control 4
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- Plant and animal studies 50
- Co-authors
- Qingyun Diao (28 shared papers)Yanyan Wu (23 shared papers)Yong‐Jun Liu (16 shared papers)Cameron Jack (9 shared papers)Ting Zhou (12 shared papers)Jamie Ellis (8 shared papers)Ashley N. Mortensen (4 shared papers)Chunsheng Hou (10 shared papers)
- Journals
- Pesticide Biochemistry and Physiology (7 papers)Scientific Reports (6 papers)The Science of The Total Environment (5 papers)Journal of Economic Entomology (5 papers)Apidologie (4 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Pingli Dai
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 74
- Insect Science 1.2k
- Ecology, Evolution, Behavior and Systematics 844
- Genetics 720
- Plant Science 236
- Pollution 68
Countries citing papers authored by Pingli Dai
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
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-authors
The 25 scholars most cited alongside Pingli Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 140 | |
| 2 | 2019 | 88 | |
| 3 | 2009 | 83 | |
| 4 | 2017 | 66 | |
| 5 | 2018 | 59 | |
| 6 | 2015 | 56 | |
| 7 | 2016 | 49 | |
| 8 | 2019 | 48 | |
| 9 | 2017 | 46 | |
| 10 | 2019 | 45 | |
| 11 | 2018 | 45 | |
| 12 | 2015 | 34 | |
| 13 | 2023 | 29 | |
| 14 | 2018 | 29 | |
| 15 | 2018 | 28 | |
| 16 | 2011 | 28 | |
| 17 | 2011 | 26 | |
| 18 | 2024 | 25 | |
| 19 | 2012 | 25 | |
| 20 | 2021 | 23 |
About Pingli Dai
Pingli Dai is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Genetics, Plant Science and Molecular Biology, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Insect and Pesticide Research (67 papers), Insect and Arachnid Ecology and Behavior (52 papers), Plant and animal studies (50 papers), Bee Products Chemical Analysis (4 papers), Insect-Plant Interactions and Control (4 papers), Insect Pest Control Strategies (4 papers), Insect Resistance and Genetics (3 papers) and Genetically Modified Organisms Research (2 papers). The work is most often cited by research in Insect Science (1.2k citations), Ecology, Evolution, Behavior and Systematics (844 citations), Genetics (720 citations), Plant Science (236 citations) and Pollution (68 citations). Pingli Dai has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Qingyun Diao, Yanyan Wu, Yong‐Jun Liu, Cameron Jack, Ting Zhou, Jamie Ellis, Ashley N. Mortensen, Chunsheng Hou, Shilong Ma and Feng Liu. Their work appears in journals such as Pesticide Biochemistry and Physiology, Scientific Reports, The Science of The Total Environment, Journal of Economic Entomology and Apidologie.
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.