Daifeng Cheng

1.3k total citations · 1 hit paper
28 papers, 878 citations indexed

About

Daifeng Cheng is a scholar working on Insect Science, Genetics and Molecular Biology. According to data from OpenAlex, Daifeng Cheng has authored 28 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Insect Science, 12 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Daifeng Cheng's work include Insect behavior and control techniques (17 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Insect symbiosis and bacterial influences (11 papers). Daifeng Cheng is often cited by papers focused on Insect behavior and control techniques (17 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Insect symbiosis and bacterial influences (11 papers). Daifeng Cheng collaborates with scholars based in China, Germany and Australia. Daifeng Cheng's co-authors include Guangwen Liang, Yongyue Lu, Yijuan Xu, Markus Riegler, Zijun Guo, Zhiyong Xi, Xiaofang He, Lu Ren, Ling Zeng and Zhiling Zhang and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Current Biology.

In The Last Decade

Daifeng Cheng

25 papers receiving 870 citations

Hit Papers

Gut symbiont enhances insecticide resistance in a signifi... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daifeng Cheng China 14 721 217 171 162 115 28 878
Lin‐Quan Ge China 16 595 0.8× 349 1.6× 105 0.6× 372 2.3× 100 0.9× 44 799
Guangwen Liang China 17 929 1.3× 319 1.5× 221 1.3× 433 2.7× 185 1.6× 58 1.2k
Xiangzhen Zhu China 17 551 0.8× 286 1.3× 83 0.5× 241 1.5× 110 1.0× 93 779
Wenkai Wang China 12 370 0.5× 207 1.0× 123 0.7× 283 1.7× 157 1.4× 66 644
Fevzi Uçkan Türkiye 17 570 0.8× 196 0.9× 76 0.4× 364 2.2× 86 0.7× 59 721
Xiaoling Tan China 18 462 0.6× 164 0.8× 69 0.4× 341 2.1× 137 1.2× 43 665
Chuanren Li China 17 516 0.7× 240 1.1× 86 0.5× 413 2.5× 162 1.4× 58 814
Chuanlin Yin China 12 277 0.4× 234 1.1× 88 0.5× 157 1.0× 51 0.4× 25 495
Kaleem Tariq China 17 575 0.8× 349 1.6× 52 0.3× 326 2.0× 81 0.7× 37 736
Yingchuan Peng China 19 618 0.9× 792 3.6× 102 0.6× 328 2.0× 47 0.4× 39 1.0k

Countries citing papers authored by Daifeng Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Daifeng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daifeng Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Daifeng Cheng. A scholar is included among the top collaborators of Daifeng Cheng 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 Daifeng Cheng. Daifeng Cheng 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.
Jiang, Yanling, et al.. (2025). Clock genes regulate sex pheromone production and male mating ability in Bactrocera dorsalis. Insect Science. 33(1). 33–43.
3.
Li, Doudou, et al.. (2024). Dynamics of Bactrocera dorsalis Resistance to Seven Insecticides in South China. Insects. 15(9). 679–679. 3 indexed citations
4.
Jiang, Yanling, et al.. (2024). The Sexual Dimorphism in Rectum and Protein Digestion Pathway Influence Sex Pheromone Synthesis in Male Bactrocera Dorsalis. Advanced Science. 11(44). e2407353–e2407353. 1 indexed citations
5.
Jiang, Yanling, et al.. (2024). Molecular module for glucose production influences sex pheromone synthesis in Bactrocera dorsalis. Cell Reports. 43(12). 115030–115030. 1 indexed citations
6.
Cheng, Daifeng, et al.. (2023). Reproductive behavior of fruit flies: courtship, mating, and oviposition. Pest Management Science. 80(3). 935–952. 7 indexed citations
7.
Yuval, Boaz, et al.. (2023). Protein feeding mediates sex pheromone biosynthesis in an insect. eLife. 12. 16 indexed citations
8.
Gao, Zijie, Yongyue Lu, Luoluo Wang, et al.. (2023). Differences in rectal amino acid levels determine bacteria-originated sex pheromone specificity in two closely related flies. The ISME Journal. 17(10). 1741–1750. 5 indexed citations
9.
Wu, Jiao, et al.. (2022). Effects of four chemosterilants on Bactrocera tau. Ecotoxicology and Environmental Safety. 243. 114028–114028. 7 indexed citations
10.
Chen, Huimin, et al.. (2022). Gut bacteria induce oviposition preference through ovipositor recognition in fruit fly. Communications Biology. 5(1). 973–973. 24 indexed citations
11.
Ren, Lu, et al.. (2021). Rectal bacteria produce sex pheromones in the male oriental fruit fly. Current Biology. 31(10). 2220–2226.e4. 49 indexed citations
12.
Huang, Hongmei, Lu Ren, Hui‐Jing Li, et al.. (2020). The nesting preference of an invasive ant is associated with the cues produced by actinobacteria in soil. PLoS Pathogens. 16(9). e1008800–e1008800. 30 indexed citations
13.
Cheng, Daifeng, Siqi Chen, Naomi E. Pierce, et al.. (2019). Symbiotic microbiota may reflect host adaptation by resident to invasive ant species. PLoS Pathogens. 15(7). e1007942–e1007942. 32 indexed citations
14.
Huang, Hongmei, Hui‐Jing Li, Lu Ren, & Daifeng Cheng. (2019). Microbial Communities in Different Developmental Stages of the Oriental Fruit Fly, Bactrocera dorsalis, Are Associated with Differentially Expressed Peptidoglycan Recognition Protein-Encoding Genes. Applied and Environmental Microbiology. 85(13). 15 indexed citations
15.
Zhao, Xiaofeng, Xiaoyu Zhang, Zhenshi Chen, et al.. (2018). The Divergence in Bacterial Components Associated with Bactrocera dorsalis across Developmental Stages. Frontiers in Microbiology. 9. 114–114. 79 indexed citations
16.
Cheng, Daifeng, Zijun Guo, Markus Riegler, et al.. (2017). Gut symbiont enhances insecticide resistance in a significant pest, the oriental fruit fly Bactrocera dorsalis (Hendel). Microbiome. 5(1). 13–13. 297 indexed citations breakdown →
17.
Jiang, Jianjun, et al.. (2017). The plant pathogen Gluconobacter cerinus strain CDF1 is beneficial to the fruit fly Bactrocera dorsalis. AMB Express. 7(1). 207–207. 11 indexed citations
18.
Cheng, Daifeng, Yongyue Lu, Ling Zeng, Guangwen Liang, & Xiaofang He. (2015). Si-CSP9 regulates the integument and moulting process of larvae in the red imported fire ant, Solenopsis invicta. Scientific Reports. 5(1). 9245–9245. 45 indexed citations
19.
Cheng, Daifeng, et al.. (2014). Association between changes in reproductive activity and D-glucose metabolism in the tephritid fruit fly, Bactrocera dorsalis (Hendel). Scientific Reports. 4(1). 7489–7489. 8 indexed citations
20.
Cheng, Daifeng, Zhiling Zhang, Xiaofang He, & Guangwen Liang. (2013). Validation of Reference Genes in Solenopsis invicta in Different Developmental Stages, Castes and Tissues. PLoS ONE. 8(2). e57718–e57718. 80 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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