Yongmo Wang

521 total citations
29 papers, 393 citations indexed

About

Yongmo Wang is a scholar working on Insect Science, Plant Science and Molecular Biology. According to data from OpenAlex, Yongmo Wang has authored 29 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Insect Science, 18 papers in Plant Science and 10 papers in Molecular Biology. Recurrent topics in Yongmo Wang's work include Insect-Plant Interactions and Control (19 papers), Insect Resistance and Genetics (10 papers) and Insect symbiosis and bacterial influences (8 papers). Yongmo Wang is often cited by papers focused on Insect-Plant Interactions and Control (19 papers), Insect Resistance and Genetics (10 papers) and Insect symbiosis and bacterial influences (8 papers). Yongmo Wang collaborates with scholars based in China, Australia and Philippines. Yongmo Wang's co-authors include Guoan Zhang, Biao Liu, Nancy A. Schellhorn, Jianhong Li, Sarina Macfadyen, Myron P. Zalucki, Jinping Du, Hazel Parry, Huawei Hu and James Hereward and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Yongmo Wang

28 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongmo Wang China 11 246 236 184 69 41 29 393
M. A. Boetel United States 11 317 1.3× 190 0.8× 239 1.3× 48 0.7× 51 1.2× 45 401
Bo Yoon Seo South Korea 13 362 1.5× 291 1.2× 182 1.0× 105 1.5× 81 2.0× 58 546
Keith G. Bidne United States 9 236 1.0× 208 0.9× 268 1.5× 135 2.0× 81 2.0× 9 453
Amanuel Tamiru Kenya 14 333 1.4× 306 1.3× 148 0.8× 95 1.4× 29 0.7× 27 456
Kamran Mahdian Iran 11 304 1.2× 167 0.7× 94 0.5× 84 1.2× 64 1.6× 37 412
Royce J. Bitzer United States 7 206 0.8× 213 0.9× 249 1.4× 83 1.2× 67 1.6× 11 384
K. Clint Allen United States 12 336 1.4× 238 1.0× 264 1.4× 113 1.6× 30 0.7× 50 473
C. Kooyman Benin 11 391 1.6× 252 1.1× 203 1.1× 45 0.7× 87 2.1× 18 448
Xiangqun Nong China 11 259 1.1× 209 0.9× 151 0.8× 54 0.8× 53 1.3× 46 392
Zhenlong Xing China 12 284 1.2× 208 0.9× 114 0.6× 95 1.4× 46 1.1× 24 388

Countries citing papers authored by Yongmo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yongmo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongmo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongmo Wang. A scholar is included among the top collaborators of Yongmo 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 Yongmo Wang. Yongmo 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.
Yang, Qinglan, Hunseung Kang, Guogui Ning, et al.. (2025). Differential activation of defense responses in cucumbers by adapted versus non‐adapted lineages of the cotton‐melon aphid. Pest Management Science. 81(6). 2830–2839.
2.
Yang, Qinglan, et al.. (2023). A Method for Identification of Biotype-Specific Salivary Effector Candidates of Aphid. Insects. 14(9). 760–760. 7 indexed citations
3.
Hu, Xiaoyue, et al.. (2023). A host-specialized aphid lineage helps another conspecific lineage utilize a new host by disrupting the plant defenses. Journal of Pest Science. 97(3). 1525–1540. 1 indexed citations
4.
Wang, Yongmo, J. S. Deng, Jinxin Zhang, & Ruizong Jia. (2022). [Accumulation of Cry proteins in soil released from Bt rice after planting for multiple years].. PubMed. 33(1). 119–125. 2 indexed citations
5.
Guo, Hao, et al.. (2022). No Evidence of Bacterial Symbionts Influencing Host Specificity in Aphis gossypii Glover (Hemiptera: Aphididae). Insects. 13(5). 462–462. 3 indexed citations
6.
Ali, Farhan, et al.. (2021). Plant pathogen‐mediated rapid acclimation of a host‐specialized aphid to a non‐host plant. Ecology and Evolution. 11(21). 15261–15272. 7 indexed citations
7.
Wang, Yongmo, et al.. (2021). Cultivated rice enhances an insect herbivore-parasitoid interaction compared with a wild grass due to its thinner stems. Biological Control. 163. 104737–104737. 2 indexed citations
8.
Hereward, James, et al.. (2020). Migration dynamics of an important rice pest: The brown planthopper ( Nilaparvata lugens ) across Asia—Insights from population genomics. Evolutionary Applications. 13(9). 2449–2459. 26 indexed citations
9.
Deng, J. S., Yongmo Wang, Fengying Yang, Yue Liu, & Biao Liu. (2019). Persistence of insecticidal Cry toxins in Bt rice residues under field conditions estimated by biological and immunological assays. The Science of The Total Environment. 679. 45–51. 10 indexed citations
10.
11.
Wang, Yongmo, et al.. (2018). Population genetic structure of Diaphorina citri Kuwayama (Hemiptera: Liviidae): host-driven genetic differentiation in China. Scientific Reports. 8(1). 1473–1473. 23 indexed citations
12.
13.
Wang, Yongmo, James Hereward, & Guoan Zhang. (2015). High Spatial Genetic Structure and Genetic Diversity in Chinese Populations ofSitobion miscanthi(Hemiptera: Aphididae). Journal of Economic Entomology. 109(1). 375–384. 4 indexed citations
14.
Li, Guangsheng, Yongmo Wang, Biao Liu, & Guoan Zhang. (2014). Transgenic Bacillus thuringiensis (Bt) Rice Is Safer to Aquatic Ecosystems than Its Non-Transgenic Counterpart. PLoS ONE. 9(8). e104270–e104270. 21 indexed citations
15.
Wang, Yongmo, et al.. (2014). Exposure to males reduces the benefit gained from multiple mating in female Galerucella birmanica Jacoby (Coleoptera: Chrysomelidae). Behavioral Ecology and Sociobiology. 69(1). 109–116. 6 indexed citations
16.
Wang, Yongmo, Jiacheng Huang, Huawei Hu, et al.. (2013). Field and laboratory studies on the impact of two Bt rice lines expressing a fusion protein Cry1Ab/1Ac on aquatic organisms. Ecotoxicology and Environmental Safety. 92. 87–93. 12 indexed citations
17.
Zhang, Guoan, et al.. (2012). Ultra-structural changes in the integument induced by the use of three of six forms of allylisothiocyanate tested against Plutella xylostella and Pieris rapae larvae. Pesticide Biochemistry and Physiology. 102(3). 237–243. 2 indexed citations
18.
Wang, Yongmo, et al.. (2009). Genetic differentiation of Myzus persicae based on host plants revealed by using microsatellites.. Kunchong zhishi. 46(2). 244–249. 2 indexed citations
19.
Wang, Yongmo, et al.. (2008). Seasonal genetic structure in Beijing populations of the grain aphid Sitobion miscanthi (Takahashi): an investigation using microsatellites. Applied Entomology and Zoology. 43(1). 97–103. 5 indexed citations
20.
Wang, Yongmo, Feng Ge, Xianghui Liu, Feng Feng, & Lijun Wang. (2005). Evaluation of mass-trapping for control of tea tussock mothEuproctis pseudoconspersa(Strand) (Lepidoptera: Lymantriidae) with synthetic sex pheromone in south China. International Journal of Pest Management. 51(4). 289–295. 13 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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