Pingli Dai

1.7k citations
67 papers · 1.3k · h-index 21

Impact in

Papers in

    • Insect and Pesticide Research 66
    • Insect-Plant Interactions and Control 5
    • Bee Products Chemical Analysis 4
    • Insect and Arachnid Ecology and Behavior 54

Pingli Dai

63 papers receiving 1.3k citations

Peers

Pingli Dai
Comparison fields: 5 of 75
  • Insect Science 1.1k
  • Ecology, Evolution, Behavior and Systematics 831
  • Genetics 707
  • Plant Science 226
  • Pollution 59
Replace Hudson V. V. Tomé with:
Hudson V. V. Tomé Brazil
Yanyan Wu China
Zhenguo Liu China
Rodrigo Cupertino Bernardes Brazil
Chris Mullin United States
Victor Limay‐Rios Canada
Jason A. Rothman United States
Cecília Costa Italy
Jitka Stará Czechia
Klaus Wallner Germany
Pingli Dai relative to Hudson V. V. Tomé Brazil Hudson V. V. Tomé's profile →
Citations per field
00.5×
Hudson V. V. Tomé · 1×
Citations per year

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-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.

Border = papers with Pingli Dai Line = papers co-authored together Pingli Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018133
2 201985
3 200977
4 201760
5 201856
6 201554
7 201648
8 201945
9 201944
10 201744
11 201843
12 201533
13 202328
14 201827
15 201826
16 201126
17 201126
18 201224
19 202222
20 202122

About Pingli Dai

Pingli Dai is a scholar working on Insect Science, Genetics, Ecology, Evolution, Behavior and Systematics, Plant Science and Molecular Biology, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Insect and Pesticide Research (66 papers), Insect and Arachnid Ecology and Behavior (54 papers), Plant and animal studies (51 papers), Insect-Plant Interactions and Control (5 papers), Bee Products Chemical Analysis (4 papers), Insect Pest Control Strategies (4 papers), Insect Resistance and Genetics (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Insect Science (1.1k citations), Ecology, Evolution, Behavior and Systematics (831 citations), Genetics (707 citations), Plant Science (226 citations) and Pollution (59 citations). Pingli Dai has collaborated with scholars based in China, United States and South Korea. Frequent 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. Their work appears in journals such as Pesticide Biochemistry and Physiology, Scientific Reports, The Science of The Total Environment, Journal of Economic Entomology and Pest Management Science.

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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