Hong‐Bo Jiang

3.0k total citations
106 papers, 2.2k citations indexed

About

Hong‐Bo Jiang is a scholar working on Insect Science, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Hong‐Bo Jiang has authored 106 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Insect Science, 46 papers in Cellular and Molecular Neuroscience and 38 papers in Molecular Biology. Recurrent topics in Hong‐Bo Jiang's work include Neurobiology and Insect Physiology Research (46 papers), Insect behavior and control techniques (41 papers) and Insect Utilization and Effects (31 papers). Hong‐Bo Jiang is often cited by papers focused on Neurobiology and Insect Physiology Research (46 papers), Insect behavior and control techniques (41 papers) and Insect Utilization and Effects (31 papers). Hong‐Bo Jiang collaborates with scholars based in China, Belgium and United States. Hong‐Bo Jiang's co-authors include Jin‐Jun Wang, Wei Dou, Guangmao Shen, Yoonseong Park, Guy Smagghe, Xiaona Wang, Dong Wei, Dandan Wei, Shun‐Hua Gui and Li Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Hong‐Bo Jiang

98 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong‐Bo Jiang China 29 1.3k 999 761 507 419 106 2.2k
Zeng‐Rong Zhu China 26 1.0k 0.8× 1.7k 1.7× 406 0.5× 1.1k 2.2× 519 1.2× 136 3.2k
Henry Chung United States 21 997 0.8× 831 0.8× 477 0.6× 399 0.8× 593 1.4× 42 2.0k
Philippe Lucas France 31 1.0k 0.8× 387 0.4× 1.1k 1.4× 1.0k 2.0× 539 1.3× 116 2.8k
Fabrice Legeai France 31 1.5k 1.1× 1.7k 1.7× 458 0.6× 1.3k 2.5× 775 1.8× 86 3.3k
Kimiko Yamamoto Japan 28 727 0.6× 1.2k 1.2× 476 0.6× 1.7k 3.4× 934 2.2× 55 3.0k
Chen‐Zhu Wang China 32 2.2k 1.6× 938 0.9× 1.5k 2.0× 744 1.5× 1.0k 2.4× 117 3.0k
Veit Grabe Germany 18 578 0.4× 308 0.3× 890 1.2× 301 0.6× 602 1.4× 42 1.6k
Liping Ban China 19 1.2k 0.9× 497 0.5× 1.4k 1.8× 313 0.6× 920 2.2× 53 2.0k
Grzegorz Rosiński Poland 24 861 0.7× 471 0.5× 710 0.9× 378 0.7× 352 0.8× 111 1.7k
Honglei Wang China 28 515 0.4× 819 0.8× 313 0.4× 347 0.7× 344 0.8× 115 2.1k

Countries citing papers authored by Hong‐Bo Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Bo Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Bo Jiang. 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 Hong‐Bo Jiang. The network helps show where Hong‐Bo Jiang may publish in the future.

Co-authorship network of co-authors of Hong‐Bo Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Bo Jiang. A scholar is included among the top collaborators of Hong‐Bo Jiang 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 Hong‐Bo Jiang. Hong‐Bo Jiang 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.
Xu, Bo, Guifen Zhang, Wanxue Liu, et al.. (2025). Expression and sex pheromone-binding characteristics of pheromone-binding protein 3 in Tuta absoluta (Lepidoptera: Gelechiidae). Pesticide Biochemistry and Physiology. 210. 106404–106404. 3 indexed citations
2.
3.
Wang, Ning, Song Zhang, Yijie Li, et al.. (2023). Novel isolate of Cladosporium subuliforme and its potential to control Asian citrus psyllid, Diaphorina citri Kuwayama (Hemiptera: Liviidae). Egyptian Journal of Biological Pest Control. 33(1). 6 indexed citations
4.
Shang, Feng, et al.. (2023). Candidatus Liberibacter asiaticus: An important factor affecting bacterial community composition and Wolbachia titers in Asian citrus psyllid. Frontiers in Microbiology. 14. 1109803–1109803. 5 indexed citations
5.
Zhou, Siwang, et al.. (2022). Compressive Sensing Based Distributed Data Storage for Mobile Crowdsensing. ACM Transactions on Sensor Networks. 18(2). 1–21. 19 indexed citations
6.
Shi, Yan, Tianyuan Liu, Bi‐Yue Ding, et al.. (2022). Crustacean cardioactive peptide and its receptor modulate the ecdysis behavior in the pea aphid, Acyrthosiphon pisum. Journal of Insect Physiology. 137. 104364–104364. 8 indexed citations
7.
8.
Zhao, Song, Hong‐Bo Jiang, Cheng‐bin Gong, et al.. (2021). Highly sensitive detection of Tb3+ and ATP based on a novel asymmetric anthracene derivative. Analytical Methods. 14(3). 306–311. 5 indexed citations
9.
Yang, Yang, Ying Xiong, Hongfei Li, et al.. (2021). The adipokinetic hormone signaling system regulates the sensitivity of Bactrocera dorsalis to malathion. Pesticide Biochemistry and Physiology. 174. 104808–104808. 6 indexed citations
10.
Shang, Feng, et al.. (2021). The Influence of Temperature and Host Gender on Bacterial Communities in the Asian Citrus Psyllid. Insects. 12(12). 1054–1054. 5 indexed citations
11.
Gui, Shun‐Hua, Li Xu, Weiping Wang, et al.. (2018). Function of the natalisin receptor in mating of the oriental fruit fly, Bactrocera dorsalis (Hendel) and testing of peptidomimetics. PLoS ONE. 13(2). e0193058–e0193058. 8 indexed citations
12.
Chen, Yong, Wei Li, Yang Yang, et al.. (2018). Diversity of Bacterial Communities in the Intestinal Tracts of Two Geographically Distant Populations of Bactrocera dorsalis (Diptera: Tephritidae). Journal of Economic Entomology. 111(6). 2861–2868. 28 indexed citations
13.
14.
Wei, Dong, et al.. (2017). Antimicrobial peptide gene cecropin-2 and defensin respond to peptidoglycan infection in the female adult of oriental fruit fly, Bactrocera dorsalis (Hendel). Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 206. 1–7. 18 indexed citations
15.
Shi, Yan, Hong‐Bo Jiang, Shun‐Hua Gui, et al.. (2017). Ecdysis Triggering Hormone Signaling (ETH/ETHR-A) Is Required for the Larva-Larva Ecdysis in Bactrocera dorsalis (Diptera: Tephritidae). Frontiers in Physiology. 8. 587–587. 36 indexed citations
16.
17.
Zhang, Fang, Jun Wang, Kiran Thakur, et al.. (2017). Isolation functional characterization of allatotropin receptor from the cotton bollworm, Helicoverpa armigera. Peptides. 122. 169874–169874. 7 indexed citations
18.
Jiang, Hong‐Bo, et al.. (2011). Effects of a sublethal concentration of avermectin on the development and reproduction of citrus red mite,Panonychus citri(McGregor) (Acari: Tetranychidae). International Journal of Acarology. 37(1). 1–9. 21 indexed citations
19.
Jiang, Hong‐Bo, et al.. (2010). Molecular characterization of two novel deltamethrin‐inducible P450 genes from Liposcelis bostrychophila Badonnel (Psocoptera: Liposcelididae). Archives of Insect Biochemistry and Physiology. 74(1). 17–37. 19 indexed citations
20.
Dou, Wei, et al.. (2010). Characterization of the Purified Glutathione S-transferases from Two Psocids Liposcelis bostrychophila and L. entomophila. Agricultural Sciences in China. 9(7). 1008–1016. 6 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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