Hu Wan

4.9k total citations
145 papers, 3.9k citations indexed

About

Hu Wan is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Hu Wan has authored 145 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 75 papers in Insect Science and 29 papers in Plant Science. Recurrent topics in Hu Wan's work include Insect Resistance and Genetics (59 papers), Insect and Pesticide Research (46 papers) and Insect-Plant Interactions and Control (46 papers). Hu Wan is often cited by papers focused on Insect Resistance and Genetics (59 papers), Insect and Pesticide Research (46 papers) and Insect-Plant Interactions and Control (46 papers). Hu Wan collaborates with scholars based in China, South Korea and United States. Hu Wan's co-authors include Jianhong Li, Kaikai Mao, Xun Liao, Shun He, Ruoheng Jin, Byung Rae Jin, Ehsan Ali, Sha Zhan, Tingwei Cai and Zhijie Ren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Hu Wan

137 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hu Wan China 35 2.0k 2.0k 1.2k 401 370 145 3.9k
Oliver Schlüter Germany 45 3.0k 1.5× 1.1k 0.6× 1.1k 0.9× 813 2.0× 304 0.8× 158 7.8k
Nemat O. Keyhani United States 43 4.2k 2.1× 3.7k 1.9× 2.1k 1.8× 623 1.6× 147 0.4× 165 6.3k
Jingze Liu China 31 1.1k 0.5× 862 0.4× 516 0.4× 355 0.9× 83 0.2× 228 3.7k
Min Ni China 36 482 0.2× 3.3k 1.7× 3.7k 3.1× 213 0.5× 164 0.4× 117 5.8k
Konstantinos D. Tsirigos Greece 16 403 0.2× 3.4k 1.7× 1.4k 1.2× 715 1.8× 349 0.9× 26 6.0k
Dwayne D. Hegedus Canada 40 1.4k 0.7× 2.7k 1.4× 2.9k 2.4× 308 0.8× 108 0.3× 136 5.1k
Xiaomao Zhou China 24 807 0.4× 957 0.5× 639 0.5× 96 0.2× 163 0.4× 98 2.1k
Ran Li China 40 1.0k 0.5× 1.4k 0.7× 2.3k 2.0× 126 0.3× 156 0.4× 146 4.2k
Thomas Nordahl Petersen Denmark 20 286 0.1× 3.0k 1.5× 1.1k 0.9× 490 1.2× 266 0.7× 34 5.3k

Countries citing papers authored by Hu Wan

Since Specialization
Citations

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

Fields of papers citing papers by Hu Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hu Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Hu Wan. A scholar is included among the top collaborators of Hu Wan 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 Hu Wan. Hu Wan 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.
Zhang, Hongli, Wenyu Lü, Shuai Wu, et al.. (2025). Nanoparticle-Mediated dsRNA Delivery Used as a Broad-Spectrum Synergistic Nanonucleic Acid Adjuvant to Control Sogatella furcifera. Journal of Agricultural and Food Chemistry. 73(18). 11361–11372. 2 indexed citations
2.
Cai, Tingwei, et al.. (2025). Mobile Resistance Elements: Symbionts That Modify Insect Host Resistance. Journal of Agricultural and Food Chemistry. 73(7). 3842–3853. 3 indexed citations
3.
Chen, Keyi, et al.. (2025). Cooperative microbial metabolism enhances tryptophan-mediated insecticide detoxification in the fall armyworm. The ISME Journal. 19(1). 1 indexed citations
4.
5.
6.
Gao, Yuanyuan, Tingwei Cai, Qinghong Zeng, et al.. (2024). A putative endonuclease reduces the efficiency of oral RNA interference in Nilaparvata lugens. Pest Management Science. 80(11). 5771–5779. 5 indexed citations
7.
Lee, Kwang‐Sik, Tingwei Cai, Hyung Joo Yoon, et al.. (2024). Variation of bacterial communities in bumblebees: Transmission and regulation by mating behavior. Journal of Asia-Pacific Entomology. 27(3). 102305–102305. 1 indexed citations
8.
Ma, Huina, et al.. (2024). Chlorantraniliprole Resistance in Spodoptera frugiperda: Resistance Monitoring, Resistance Risk, and Resistance Mechanisms. Journal of Agricultural and Food Chemistry. 72(30). 16651–16660. 13 indexed citations
9.
He, Mingrong, Shuai Wu, Dan Luo, et al.. (2024). miRNAs modulate altered expression of cytochrome P450s and nicotinic acetylcholine receptor subunits conferring both metabolic and target resistance to sulfoxaflor in Nilaparvata lugens (Stål). International Journal of Biological Macromolecules. 290. 138992–138992. 2 indexed citations
10.
Li, Xuchao, Jiaqing Li, Qinghong Zeng, et al.. (2023). Overcoming resistance in insect pest with a nanoparticle-mediated dsRNA and insecticide co-delivery system. Chemical Engineering Journal. 475. 146239–146239. 37 indexed citations
11.
Wu, Shuai, Rongyu Li, Ming Li, et al.. (2023). Overexpression of NADPH-cytochrome P450 reductase is associated with sulfoxaflor resistance and neonicotinoid cross-resistance in Nilaparvata lugens (Stål). Pesticide Biochemistry and Physiology. 194. 105467–105467. 5 indexed citations
12.
Cai, Tingwei, et al.. (2023). Resistance monitoring in field populations of Chilo suppressalis (Lepidoptera: Crambidae) in Hubei Province to four insecticides in 2019–2022. Journal of Applied Entomology. 148(3). 272–278. 7 indexed citations
13.
Shi, Dandan, Tiantian Wang, Xuchao Li, et al.. (2023). Insecticide resistance monitoring and diagnostics of resistance mechanisms in cotton‐melon aphid, Aphis gossypii Glover in Central China. Journal of Applied Entomology. 147(6). 392–405. 15 indexed citations
14.
Cai, Tingwei, Ruoheng Jin, Zhijie Ren, et al.. (2023). Microbiome variation correlates with the insecticide susceptibility in different geographic strains of a significant agricultural pest, Nilaparvata lugens. npj Biofilms and Microbiomes. 9(1). 2–2. 29 indexed citations
15.
Zhou, Yaru, Juan Zhao, Lei Yang, et al.. (2023). Doxorubicin inhibits phosphatidylserine decarboxylase and confers broad‐spectrum antifungal activity. New Phytologist. 239(1). 255–270. 8 indexed citations
16.
Ren, Zhijie, Tingwei Cai, Qinghong Zeng, et al.. (2023). The insecticidal activity and mechanism of tebuconazole on Nilaparvata lugens (Stål). Pest Management Science. 79(9). 3141–3148. 7 indexed citations
17.
Cai, Tingwei, Zhijie Ren, Yu Liu, et al.. (2021). Decline in symbiont-dependent host detoxification metabolism contributes to increased insecticide susceptibility of insects under high temperature. The ISME Journal. 15(12). 3693–3703. 79 indexed citations
18.
Li, Yibing, Hu Wan, & Li Jiang. (2021). Alignment subdomain-based deep convolutional transfer learning for machinery fault diagnosis under different working conditions. Measurement Science and Technology. 33(5). 55006–55006. 7 indexed citations
19.
Wan, Hu. (2009). Study on urban rainwater collection and utilization. Shanxi Architecture. 1 indexed citations
20.
Wan, Hu, et al.. (2003). Texture feature and its application in CBIR. Deakin Research Online (Deakin University). 15(2). 195–199. 8 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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