Kangxu Wang

1.0k total citations
25 papers, 749 citations indexed

About

Kangxu Wang is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Kangxu Wang has authored 25 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Plant Science and 6 papers in Insect Science. Recurrent topics in Kangxu Wang's work include Insect Resistance and Genetics (17 papers), RNA Interference and Gene Delivery (7 papers) and CRISPR and Genetic Engineering (6 papers). Kangxu Wang is often cited by papers focused on Insect Resistance and Genetics (17 papers), RNA Interference and Gene Delivery (7 papers) and CRISPR and Genetic Engineering (6 papers). Kangxu Wang collaborates with scholars based in China, United States and Canada. Kangxu Wang's co-authors include Zhaojun Han, Yingchuan Peng, Jiasheng Chen, Guan‐Heng Zhu, Jian Pu, Chunqing Zhao, Subba Reddy Palli, Jiale Wang, Cheng‐Wang Sheng and Hainan Zhang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Frontiers in Physiology and Pest Management Science.

In The Last Decade

Kangxu Wang

25 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kangxu Wang China 14 625 342 246 47 37 25 749
Qingsong Liu China 15 371 0.6× 350 1.0× 384 1.6× 28 0.6× 31 0.8× 24 643
Naymã Pinto Dias Brazil 13 311 0.5× 333 1.0× 261 1.1× 58 1.2× 44 1.2× 25 574
Kanakachari Mogilicherla India 20 1.0k 1.7× 542 1.6× 538 2.2× 115 2.4× 73 2.0× 43 1.4k
Bao‐Li Qiu China 21 453 0.7× 869 2.5× 557 2.3× 64 1.4× 79 2.1× 66 1.2k
Gema P. Farinós Spain 17 634 1.0× 519 1.5× 483 2.0× 29 0.6× 44 1.2× 42 789
Maristella Mastore Italy 18 283 0.5× 510 1.5× 205 0.8× 44 0.9× 44 1.2× 35 692
Rehan Silva Australia 9 315 0.5× 495 1.4× 326 1.3× 53 1.1× 56 1.5× 15 652
Shijun You China 12 354 0.6× 270 0.8× 263 1.1× 63 1.3× 83 2.2× 59 646
Jean‐Luc Da Lage France 19 376 0.6× 193 0.6× 451 1.8× 36 0.8× 156 4.2× 41 855
Zhengqiang Peng China 14 170 0.3× 394 1.2× 316 1.3× 84 1.8× 63 1.7× 70 577

Countries citing papers authored by Kangxu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kangxu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangxu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kangxu Wang. A scholar is included among the top collaborators of Kangxu 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 Kangxu Wang. Kangxu 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.
Chen, Mengjiao, et al.. (2025). New insights into the insecticidal mode of action of diatomite nanoparticles. Pest Management Science. 81(12). 8661–8667. 1 indexed citations
2.
Chen, Zhi, et al.. (2023). Insight into the Mechanism of Porcine Myofibrillar Protein Gel Properties Modulated by κ-Carrageenan. Foods. 12(7). 1444–1444. 10 indexed citations
3.
4.
Sheng, Cheng‐Wang, et al.. (2023). Transcript Level and Sequence Matching Are Key Determinants of Off-Target Effects in RNAi. Journal of Agricultural and Food Chemistry. 72(1). 577–589. 14 indexed citations
5.
Wang, Kangxu, et al.. (2022). Amplification refractory mutation system based real-time PCR (ARMS-qPCR) for rapid resistance characterization of Tribolium castaneum to phosphine. Pesticide Biochemistry and Physiology. 187. 105181–105181. 10 indexed citations
6.
7.
Chen, Jiasheng, Yingchuan Peng, Hainan Zhang, et al.. (2021). Transcript level is a key factor affecting RNAi efficiency. Pesticide Biochemistry and Physiology. 176. 104872–104872. 20 indexed citations
8.
Shen, Xu, Yingchuan Peng, Huifang Song, et al.. (2021). Key factors determining competitions between double-stranded RNAs in Tribolium castaneum. Pesticide Biochemistry and Physiology. 181. 105009–105009. 9 indexed citations
9.
Peng, Yingchuan, Guan‐Heng Zhu, Kangxu Wang, et al.. (2021). Knockout of SldsRNase1 and SldsRNase2 revealed their function in dsRNA degradation and contribution to RNAi efficiency in the tobacco cutworm, Spodoptera litura. Journal of Pest Science. 94(4). 1449–1460. 24 indexed citations
10.
Chen, Jiasheng, Yingchuan Peng, Hainan Zhang, et al.. (2021). Off-target effects of RNAi correlate with the mismatch rate between dsRNA and non-target mRNA. RNA Biology. 18(11). 1747–1759. 109 indexed citations
11.
Peng, Yingchuan, Kangxu Wang, Jiasheng Chen, et al.. (2020). Identification of a double-stranded RNA-degrading nuclease influencing both ingestion and injection RNA interference efficiency in the red flour beetle Tribolium castaneum. Insect Biochemistry and Molecular Biology. 125. 103440–103440. 43 indexed citations
12.
Wang, Kangxu, et al.. (2019). Comparison of efficacy of RNAi mediated by various nanoparticles in the rice striped stem borer (Chilo suppressalis). Pesticide Biochemistry and Physiology. 165. 104467–104467. 68 indexed citations
13.
Peng, Yingchuan, Kangxu Wang, Guan‐Heng Zhu, et al.. (2019). Identification and characterization of multiple dsRNases from a lepidopteran insect, the tobacco cutworm, Spodoptera litura (Lepidoptera: Noctuidae). Pesticide Biochemistry and Physiology. 162. 86–95. 48 indexed citations
14.
Peng, Yingchuan, et al.. (2018). Biochemical Comparison of dsRNA Degrading Nucleases in Four Different Insects. Frontiers in Physiology. 9. 624–624. 80 indexed citations
15.
Wang, Kangxu, et al.. (2018). Key factors determining variations in RNA interference efficacy mediated by different double‐stranded RNA lengths in Tribolium castaneum. Insect Molecular Biology. 28(2). 235–245. 32 indexed citations
16.
Pu, Jian, Haina Sun, Jinda Wang, et al.. (2016). Multiple cis-acting elements involved in up-regulation of a cytochrome P450 gene conferring resistance to deltamethrin in smal brown planthopper, Laodelphax striatellus (Fallén). Insect Biochemistry and Molecular Biology. 78. 20–28. 27 indexed citations
17.
Wang, Kangxu, et al.. (2016). Variation in RNAi efficacy among insect species is attributable to dsRNA degradation in vivo. Insect Biochemistry and Molecular Biology. 77. 1–9. 144 indexed citations
18.
Wang, Kangxu, et al.. (2016). Conservation genetics assessment and phylogenetic relationships of critically endangeredHucho bleekeriin China. Journal of Applied Ichthyology. 32(2). 343–349. 11 indexed citations
19.
Sun, Ming, et al.. (2013). Hydroacoustic surveys on temporal and spatial distribution of fishes in the section from Chenglingji to Yichang of the Yangtze River middle reaches. Journal of Applied Ichthyology. 29(6). 1459–1462. 2 indexed citations
20.

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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