Chen‐Zhu Wang

4.1k total citations
117 papers, 3.0k citations indexed

About

Chen‐Zhu Wang is a scholar working on Insect Science, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Chen‐Zhu Wang has authored 117 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Insect Science, 55 papers in Cellular and Molecular Neuroscience and 46 papers in Molecular Biology. Recurrent topics in Chen‐Zhu Wang's work include Neurobiology and Insect Physiology Research (55 papers), Insect-Plant Interactions and Control (42 papers) and Insect Resistance and Genetics (36 papers). Chen‐Zhu Wang is often cited by papers focused on Neurobiology and Insect Physiology Research (55 papers), Insect-Plant Interactions and Control (42 papers) and Insect Resistance and Genetics (36 papers). Chen‐Zhu Wang collaborates with scholars based in China, United States and Netherlands. Chen‐Zhu Wang's co-authors include Ling‐Qiao Huang, Hao Guo, Jun-Feng Dong, Ya-Lan Sun, Le Kang, Ke Yang, Paolo Pelosi, Joop J. A. van Loon, Chao Ning and Li‐Hua Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Current Biology.

In The Last Decade

Chen‐Zhu Wang

108 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen‐Zhu Wang China 32 2.2k 1.5k 1.0k 938 744 117 3.0k
Emmanuelle Jacquin‐Joly France 37 2.7k 1.3× 2.9k 1.9× 1.8k 1.8× 940 1.0× 441 0.6× 102 3.9k
Yongjun Zhang China 33 2.2k 1.0× 1.9k 1.3× 1.3k 1.3× 1.1k 1.2× 595 0.8× 163 3.3k
Russell A. Jurenka United States 32 2.2k 1.0× 1.7k 1.1× 1.3k 1.3× 565 0.6× 323 0.4× 80 3.1k
Kevin W. Wanner United States 22 1.7k 0.8× 1.5k 1.0× 1.4k 1.4× 377 0.4× 267 0.4× 44 2.4k
Paul G. Becher Sweden 29 1.8k 0.8× 917 0.6× 674 0.7× 420 0.4× 781 1.0× 65 3.1k
R. Jason Pitts United States 24 1.6k 0.7× 2.1k 1.4× 1.1k 1.1× 614 0.7× 671 0.9× 46 3.2k
Liping Ban China 19 1.2k 0.6× 1.4k 0.9× 920 0.9× 497 0.5× 313 0.4× 53 2.0k
Wolfgang Blenau Germany 28 1.8k 0.8× 1.7k 1.1× 1.3k 1.3× 415 0.4× 202 0.3× 50 2.7k
Marie Bengtsson Sweden 35 2.9k 1.3× 791 0.5× 678 0.7× 606 0.6× 885 1.2× 98 3.9k
Thomas Chertemps France 24 1.1k 0.5× 966 0.6× 633 0.6× 703 0.7× 252 0.3× 45 1.9k

Countries citing papers authored by Chen‐Zhu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Zhu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Zhu Wang. 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 Chen‐Zhu Wang. The network helps show where Chen‐Zhu Wang may publish in the future.

Co-authorship network of co-authors of Chen‐Zhu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chen‐Zhu Wang. A scholar is included among the top collaborators of Chen‐Zhu Wang 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 Chen‐Zhu Wang. Chen‐Zhu Wang 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.
2.
Li, Guo‐Cheng, et al.. (2025). Deorphanization of Pheromone Receptors and Discovery of a Novel Agonist for Sex Pheromone Communication in Diamondback Moths. Journal of Agricultural and Food Chemistry. 73(10). 5816–5828. 1 indexed citations
3.
Wang, Xizhi, et al.. (2024). Time-restricted feeding modulates gene expression related with rhythm and inflammation in Mongolian gerbils. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 287. 110038–110038. 1 indexed citations
4.
Zhang, Xueying, et al.. (2024). Gut microbiota are involved in leptin-induced thermoregulation in the Mongolian gerbil (Meriones unguiculatus). Journal of Experimental Biology. 227(23).
5.
Wang, Bing, et al.. (2023). Genetic Diversity of a Heat Activated Channel—TRPV1 in Two Desert Gerbil Species with Different Heat Sensitivity. International Journal of Molecular Sciences. 24(11). 9123–9123. 1 indexed citations
6.
Zhang, Shuaishuai, Pei‐Chao Wang, Chao Ning, et al.. (2023). The larva and adult of Helicoverpa armigera use differential gustatory receptors to sense sucrose. eLife. 12. 6 indexed citations
7.
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
8.
Guo, Hao, et al.. (2021). Contribution of odorant binding proteins to olfactory detection of (Z)-11-hexadecenal in Helicoverpa armigera. Insect Biochemistry and Molecular Biology. 131. 103554–103554. 27 indexed citations
9.
Liu, Xiaolong, Jin Zhang, Qi Yan, et al.. (2020). The Molecular Basis of Host Selection in a Crucifer-Specialized Moth. Current Biology. 30(22). 4476–4482.e5. 89 indexed citations
10.
Wang, Chen‐Zhu, et al.. (2019). Progress in sex pheromone communication of the fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae).. Acta Entomologica Sinica. 62(8). 993–1002. 4 indexed citations
11.
Wang, Yan, Ying Ma, Xincheng Zhao, et al.. (2017). Higher plasticity in feeding preference of a generalist than a specialist: experiments with two closely related Helicoverpa species. Scientific Reports. 7(1). 17876–17876. 25 indexed citations
12.
Yang, Lihong, et al.. (2017). Expressional divergence of insect GOX genes: From specialist to generalist glucose oxidase. Journal of Insect Physiology. 100. 21–27. 8 indexed citations
13.
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
14.
Lu, Pengfei, Ling‐Qiao Huang, & Chen‐Zhu Wang. (2012). Identification and Field Evaluation of Pear Fruit Volatiles Attractive to the Oriental Fruit Moth, Cydia molesta. Journal of Chemical Ecology. 38(8). 1003–1016. 74 indexed citations
15.
Wang, Chen‐Zhu, et al.. (2009). Glucose oxidase in insects and its function.. Kunchong zhishi. 46(3). 337–343.
16.
Ming, Qing-Lei, et al.. (2006). Mechanisms of premating isolation between Helicoverpa armigera (Hübner) and Helicoverpa assulta (Guenée) (Lepidoptera: Noctuidae). Journal of Insect Physiology. 53(2). 170–178. 29 indexed citations
17.
Wang, Chen‐Zhu. (2001). Effects of Host Size on Oviposition and Development of the Endoparasitoid, Campoletis chlorideae Uchida. Journal of Biological Control. 7 indexed citations
18.
Zhang, Jihong, et al.. (1997). EFFECT OF DISSOLUTION AND DEGRADATION OF BAClLUlS THURlNGIENSlS PARASPORAL CRYSTALS ON TOXICITY TO COTTON BOLLWORM*. Insect Science. 4(4). 357–363. 1 indexed citations
19.
Wang, Chen‐Zhu, et al.. (1997). Protease inhibitors in plants contributing to resistance to insects: An overview. 40(2). 212–218. 1 indexed citations
20.
Wang, Chen‐Zhu, et al.. (1996). Effect of soybean trypsin inhibitor, gossypol and tannic acid on the midgut protease activities and growth of Helicoverpa armigera larvae. 39(4). 337–341. 5 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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