Jun-Feng Dong

951 total citations
34 papers, 704 citations indexed

About

Jun-Feng Dong is a scholar working on Insect Science, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Jun-Feng Dong has authored 34 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Insect Science, 22 papers in Cellular and Molecular Neuroscience and 13 papers in Molecular Biology. Recurrent topics in Jun-Feng Dong's work include Neurobiology and Insect Physiology Research (22 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Insect-Plant Interactions and Control (12 papers). Jun-Feng Dong is often cited by papers focused on Neurobiology and Insect Physiology Research (22 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Insect-Plant Interactions and Control (12 papers). Jun-Feng Dong collaborates with scholars based in China, United States and Kazakhstan. Jun-Feng Dong's co-authors include Chen‐Zhu Wang, Ling‐Qiao Huang, Shaoli Wang, Rui-Ting Li, Ya-Lan Sun, Kai Wang, Li Yang, Jin Zhang, Depan Cao and Yang Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Jun-Feng Dong

32 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun-Feng Dong China 15 541 382 252 238 175 34 704
Adel Khashaveh China 14 370 0.7× 260 0.7× 154 0.6× 146 0.6× 158 0.9× 49 522
Yazhong Cao China 15 435 0.8× 303 0.8× 237 0.9× 238 1.0× 141 0.8× 33 621
Wu JunXiang China 18 608 1.1× 327 0.9× 265 1.1× 431 1.8× 209 1.2× 77 919
Mengbo Guo China 11 338 0.6× 383 1.0× 239 0.9× 112 0.5× 51 0.3× 19 486
Martine Maı̈bèche France 14 380 0.7× 210 0.5× 119 0.5× 238 1.0× 157 0.9× 24 569
Arthur de Fouchier France 8 312 0.6× 373 1.0× 247 1.0× 83 0.3× 47 0.3× 10 474
Shan‐Ning Wang China 14 299 0.6× 308 0.8× 206 0.8× 89 0.4× 67 0.4× 27 421
Nai‐Yong Liu China 17 774 1.4× 857 2.2× 543 2.2× 393 1.7× 101 0.6× 61 1.1k
Binu Antony Saudi Arabia 16 565 1.0× 330 0.9× 331 1.3× 254 1.1× 286 1.6× 34 815
Zhongjun Gong China 13 345 0.6× 204 0.5× 160 0.6× 197 0.8× 133 0.8× 39 548

Countries citing papers authored by Jun-Feng Dong

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Feng Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Feng Dong. 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 Jun-Feng Dong. The network helps show where Jun-Feng Dong may publish in the future.

Co-authorship network of co-authors of Jun-Feng Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Feng Dong. A scholar is included among the top collaborators of Jun-Feng Dong 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 Jun-Feng Dong. Jun-Feng Dong 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.
Wang, Xiaotian, Jun-Feng Dong, Zhongxu Wei, et al.. (2025). The impact of bisphenol A on gill health: A focus on mitochondrial dysfunction induced disorders of energy metabolism and apoptosis in Meretrix petechialis. Aquatic Toxicology. 279. 107259–107259. 4 indexed citations
2.
3.
Dong, Jun-Feng, Ya-Lan Sun, Ke Wang, Hao Guo, & Shaoli Wang. (2023). Expression, affinity, and binding mode analysis of antennal-binding protein X in the variegated cutworm Peridroma saucia (Hübner). International Journal of Biological Macromolecules. 242(Pt 1). 124671–124671. 1 indexed citations
4.
Dong, Jun-Feng, et al.. (2023). Antennal transcriptome analysis of odorant-binding proteins and characterization of GOBP2 in the variegated cutworm Peridroma saucia. Frontiers in Physiology. 14. 1241324–1241324. 9 indexed citations
5.
Dong, Jun-Feng, et al.. (2023). Identification and expression analysis of chemosensory receptors in the tarsi of fall armyworm, Spodoptera frugiperda (J. E. Smith). Frontiers in Physiology. 14. 1177297–1177297. 2 indexed citations
6.
Guo, Hao, Guo‐Cheng Li, Ling‐Qiao Huang, et al.. (2022). Sex pheromone communication in an insect parasitoid, Campoletis chlorideae Uchida. Proceedings of the National Academy of Sciences. 119(49). e2215442119–e2215442119. 27 indexed citations
7.
Sun, Ya-Lan, et al.. (2022). Candidate chemosensory receptors in the antennae and maxillae of Spodoptera frugiperda (J. E. Smith) larvae. Frontiers in Physiology. 13. 970915–970915. 7 indexed citations
8.
Song, Zhiyu, et al.. (2021). Identification and comparative expression analysis of odorant-binding proteins in the reproductive system and antennae of Athetis dissimilis. Scientific Reports. 11(1). 13941–13941. 12 indexed citations
9.
Dong, Jun-Feng, et al.. (2020). Identification and expression profiles of candidate chemosensory receptors in Histia rhodope (Lepidoptera: Zygaenidae). PeerJ. 8. e10035–e10035. 6 indexed citations
10.
11.
Dong, Jun-Feng, et al.. (2020). Antennal Lobe Atlas of an Emerging Corn Pest, Athetis dissimilis. Frontiers in Neuroanatomy. 14. 23–23. 2 indexed citations
12.
Li, Rui-Ting, Ling‐Qiao Huang, Jun-Feng Dong, & Chen‐Zhu Wang. (2020). A moth odorant receptor highly expressed in the ovipositor is involved in detecting host-plant volatiles. eLife. 9. 69 indexed citations
13.
Dong, Jun-Feng, et al.. (2019). Temporary inhibition of positive phototaxis in emigratory population of  Nilaparvata lugens by mark-release-recapture. PLoS ONE. 14(9). e0222214–e0222214. 3 indexed citations
14.
Li, Rui-Ting, et al.. (2018). An odorant receptor and glomerulus responding to farnesene in Helicoverpa assulta (Lepidoptera: Noctuidae). Insect Biochemistry and Molecular Biology. 115. 103106–103106. 28 indexed citations
15.
Jiu, Min, et al.. (2017). Cryptic Species Identification and Composition of Bemisia tabaci (Hemiptera: Aleyrodidae) Complex in Henan Province, China. Journal of Insect Science. 17(3). 26 indexed citations
16.
Dong, Jun-Feng, et al.. (2016). Identification of Putative Chemosensory Receptor Genes from the Athetis dissimilis Antennal Transcriptome. PLoS ONE. 11(1). e0147768–e0147768. 22 indexed citations
17.
Dong, Jun-Feng, Kai Wang, Li Yang, & Shaoli Wang. (2016). Lethal and sublethal effects of cyantraniliprole on Helicoverpa assulta (Lepidoptera: Noctuidae). Pesticide Biochemistry and Physiology. 136. 58–63. 68 indexed citations
18.
Xu, Meng, et al.. (2015). Specific olfactory neurons and glomeruli are associated to differences in behavioral responses to pheromone components between two Helicoverpa species. Frontiers in Behavioral Neuroscience. 9. 206–206. 41 indexed citations
19.
Zhang, Jin, Bing Wang, Shuanglin Dong, et al.. (2015). Antennal Transcriptome Analysis and Comparison of Chemosensory Gene Families in Two Closely Related Noctuidae Moths, Helicoverpa armigera and H. assulta. PLoS ONE. 10(2). e0117054–e0117054. 109 indexed citations
20.
Dong, Jun-Feng, Qingbo Tang, Yihua Yan, et al.. (2005). Hybridization between Helicoverpa armigera and Helicoverpa assulta (Lepidoptera: Noctuidae): development and morphological characterization of F1 hybrids. Bulletin of Entomological Research. 95(5). 409–416. 21 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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