Aiming Wang

8.9k total citations · 1 hit paper
174 papers, 6.5k citations indexed

About

Aiming Wang is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Aiming Wang has authored 174 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Plant Science, 45 papers in Endocrinology and 37 papers in Molecular Biology. Recurrent topics in Aiming Wang's work include Plant Virus Research Studies (115 papers), Plant and Fungal Interactions Research (45 papers) and Plant-Microbe Interactions and Immunity (25 papers). Aiming Wang is often cited by papers focused on Plant Virus Research Studies (115 papers), Plant and Fungal Interactions Research (45 papers) and Plant-Microbe Interactions and Immunity (25 papers). Aiming Wang collaborates with scholars based in Canada, China and United States. Aiming Wang's co-authors include Tàiyún Wèi, Fangfang Li, Hongguang Cui, Yinzi Li, Xiaofei Cheng, Lingrui Zhang, Xueping Zhou, Sowmya Krishnaswamy, Changwei Zhang and Ruyi Xiong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Aiming Wang

168 papers receiving 6.4k citations

Hit Papers

Tomato brown rugose fruit virus : An emerging and rapidly... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aiming Wang Canada 48 5.1k 1.8k 1.4k 839 497 174 6.5k
Shih‐Shun Lin Taiwan 28 3.6k 0.7× 2.3k 1.3× 769 0.6× 486 0.6× 321 0.6× 81 4.9k
Tetsuro Okuno Japan 38 4.0k 0.8× 1.9k 1.1× 779 0.6× 495 0.6× 430 0.9× 153 5.3k
Marc Gwadz United States 5 2.1k 0.4× 3.5k 2.0× 304 0.2× 336 0.4× 358 0.7× 6 5.8k
Farideh Chitsaz United States 6 2.1k 0.4× 4.1k 2.3× 306 0.2× 336 0.4× 365 0.7× 7 6.6k
Joëlle Fournier France 37 2.5k 0.5× 1.1k 0.6× 460 0.3× 298 0.4× 161 0.3× 98 4.4k
David I. Hurwitz United States 3 1.8k 0.4× 3.2k 1.8× 279 0.2× 310 0.4× 331 0.7× 4 5.3k
Iwao Furusawa Japan 33 2.2k 0.4× 1.4k 0.8× 248 0.2× 238 0.3× 419 0.8× 117 4.3k
Peter M. Waterhouse Australia 50 7.0k 1.4× 6.2k 3.5× 1.0k 0.7× 775 0.9× 1.3k 2.6× 172 9.9k
Jonathan Wood United Kingdom 15 5.8k 1.1× 3.9k 2.2× 253 0.2× 433 0.5× 806 1.6× 36 7.8k
Hailing Jin United States 58 10.5k 2.1× 7.2k 4.0× 1.1k 0.8× 614 0.7× 330 0.7× 107 13.6k

Countries citing papers authored by Aiming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Aiming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aiming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Aiming Wang. A scholar is included among the top collaborators of Aiming 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 Aiming Wang. Aiming 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.
Wang, Aiming, et al.. (2026). Immunotherapy in endometrial cancer: mechanisms, clinical evidence, and future directions. Frontiers in Immunology. 16. 1697065–1697065.
2.
Ge, Linhao, Hongguang Cui, Xiaofei Cheng, et al.. (2025). Viral RNA polymerase as a SUMOylation decoy inhibits RNA quality control to promote potyvirus infection. Nature Communications. 16(1). 157–157. 3 indexed citations
3.
4.
Li, Lei, Yong Li, Yuting Wang, et al.. (2024). The 6-kilodalton peptide 1 in plant viruses of the family Potyviridae is a viroporin. Proceedings of the National Academy of Sciences. 121(21). e2401748121–e2401748121. 12 indexed citations
5.
Ai, Min, et al.. (2024). PHLPP1 inhibits the growth and aerobic glycolysis activity of human ovarian granular cells through inactivating AKT pathway. BMC Women s Health. 24(1). 25–25. 5 indexed citations
6.
He, Rong‐Rong, Yinzi Li, Mark A. Bernards, & Aiming Wang. (2024). Turnip mosaic virus selectively subverts a PR‐5 thaumatin‐like, plasmodesmal protein to promote viral infection. New Phytologist. 245(1). 299–317. 4 indexed citations
7.
Li, Fangfang, et al.. (2024). Hidden viral proteins: How powerful are they?. PLoS Pathogens. 20(1). e1011905–e1011905. 7 indexed citations
8.
Ge, Linhao, Hongguang Cui, Shaofang Li, et al.. (2023). SUMOylation-modified Pelota-Hbs1 RNA surveillance complex restricts the infection of potyvirids in plants. Molecular Plant. 16(3). 632–642. 27 indexed citations
9.
Wu, Guanwei, Hongying Zheng, Yuwen Lu, et al.. (2022). Acidic dileucine motifs in the cylindrical inclusion protein of turnip mosaic virus are crucial for endosomal targeting and viral replication. Molecular Plant Pathology. 23(9). 1381–1389. 7 indexed citations
10.
Zhang, Shaokang, et al.. (2022). Tomato brown rugose fruit virus : An emerging and rapidly spreading plant RNA virus that threatens tomato production worldwide. Molecular Plant Pathology. 23(9). 1262–1277. 110 indexed citations breakdown →
11.
Liu, Fei, Chao Geng, Aiming Wang, et al.. (2020). Analysis of the population structure and genetic diversity of the red swamp crayfish (Procambarus clarkii) in China using SSR markers. Electronic Journal of Biotechnology. 47. 59–71. 15 indexed citations
12.
Harris, Jeanne M., Peter Balint‐Kurti, Jacqueline C. Bede, et al.. (2020). What are the Top 10 Unanswered Questions in Molecular Plant-Microbe Interactions?. Molecular Plant-Microbe Interactions. 33(12). 1354–1365. 46 indexed citations
14.
Wang, Aiming, et al.. (2017). Association between IL-8 genetic polymorphisms and the risk of ovarian cancer in a Chinese population. Biomedical Research-tokyo. 28(16). 7131–7136. 1 indexed citations
15.
Huang, Shaomin, et al.. (2016). A preliminary study of the relationship between the uterine junctional zone and outcome of intrauterine adhesions. SHILAP Revista de lepidopterología. 41(4). 301–306. 1 indexed citations
16.
Cheng, Xiaofei, Ping Deng, Hongguang Cui, & Aiming Wang. (2015). Visualizing double-stranded RNA distribution and dynamics in living cells by dsRNA binding-dependent fluorescence complementation. Virology. 485. 439–451. 37 indexed citations
17.
Chen, Hui, Lingrui Zhang, Kangfu Yu, & Aiming Wang. (2015). Pathogenesis of Soybean mosaic virus in soybean carrying Rsv1 gene is associated with miRNA and siRNA pathways, and breakdown of AGO1 homeostasis. Virology. 476. 395–404. 28 indexed citations
18.
Wèi, Tàiyún, Changwei Zhang, Xilin Hou, Hélène Sanfaçon, & Aiming Wang. (2013). The SNARE Protein Syp71 Is Essential for Turnip Mosaic Virus Infection by Mediating Fusion of Virus-Induced Vesicles with Chloroplasts. PLoS Pathogens. 9(5). e1003378–e1003378. 113 indexed citations
19.
Wang, Aiming, et al.. (2011). Clinical evaluation of serum CA125 concentrations in patients with endometriosis. 1 indexed citations
20.
Wang, Aiming. (2011). Study on the Acute Toxicity of NO_2~--N and S~(2-) Acting on Procambarus clarkii Juvenile. Journal of Hydroecology. 1 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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