Guoying Wang

6.6k total citations · 1 hit paper
139 papers, 4.6k citations indexed

About

Guoying Wang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Guoying Wang has authored 139 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Plant Science, 84 papers in Molecular Biology and 37 papers in Genetics. Recurrent topics in Guoying Wang's work include Genetic Mapping and Diversity in Plants and Animals (35 papers), Plant Molecular Biology Research (29 papers) and Photosynthetic Processes and Mechanisms (22 papers). Guoying Wang is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (35 papers), Plant Molecular Biology Research (29 papers) and Photosynthetic Processes and Mechanisms (22 papers). Guoying Wang collaborates with scholars based in China, United States and United Kingdom. Guoying Wang's co-authors include Junjie Fu, Yunjun Liu, Jun Zheng, Guihua Chen, Junling Huai, Qi Zhang, Yan Tai, Jianhua Wang, Mingyue Gou and Zhigang Dong and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Guoying Wang

130 papers receiving 4.5k citations

Hit Papers

Genome-wide association study dissects the genetic archit... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoying Wang China 36 3.2k 1.8k 1.1k 345 280 139 4.6k
Bailin Li China 28 2.9k 0.9× 1.7k 0.9× 1.2k 1.1× 125 0.4× 107 0.4× 100 4.1k
Athanasios Tsaftaris Greece 39 2.8k 0.9× 2.5k 1.4× 606 0.5× 326 0.9× 125 0.4× 170 4.7k
Yunhai Li China 44 5.8k 1.8× 3.4k 1.9× 2.1k 1.9× 140 0.4× 404 1.4× 158 7.7k
Zhen Su China 41 7.1k 2.2× 5.2k 2.8× 1.0k 0.9× 176 0.5× 182 0.7× 118 9.6k
Yu Zhao China 42 5.4k 1.7× 3.6k 2.0× 1.3k 1.1× 98 0.3× 124 0.4× 116 6.7k
Hong‐Wei Xue China 51 7.1k 2.2× 4.7k 2.6× 1.0k 0.9× 178 0.5× 292 1.0× 168 8.8k
Hairong Wei United States 32 2.3k 0.7× 2.8k 1.6× 320 0.3× 447 1.3× 138 0.5× 142 4.5k
Minami Matsui Japan 63 7.8k 2.4× 7.0k 3.9× 511 0.4× 310 0.9× 255 0.9× 188 10.5k
Toshiya Yamamoto Japan 38 3.2k 1.0× 2.8k 1.5× 708 0.6× 215 0.6× 193 0.7× 245 5.7k
Carmen Quinto Mexico 32 2.1k 0.7× 1.1k 0.6× 272 0.2× 160 0.5× 151 0.5× 87 3.4k

Countries citing papers authored by Guoying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guoying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoying Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guoying Wang. A scholar is included among the top collaborators of Guoying 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 Guoying Wang. Guoying 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, Guoying, et al.. (2024). DiffusionFR: Species Recognition of Fish in Blurry Scenarios via Diffusion and Attention. Animals. 14(3). 499–499. 5 indexed citations
2.
Zhang, Chengcheng, et al.. (2024). Research progress on the anti-tumor effects of euphorbia humifusa. Discover Oncology. 15(1). 761–761. 2 indexed citations
3.
Zhang, Jie, Yan Liu, Junjie Fu, et al.. (2023). Tetratricopeptide-containing SMALL KERNEL 11 is essential for the assembly of cytochrome c oxidase in maize mitochondria. PLANT PHYSIOLOGY. 192(1). 170–187. 4 indexed citations
4.
Guo, Yingmei, Jie Zhang, Nannan Zheng, et al.. (2023). RNA polymerase common subunit ZmRPABC5b is transcriptionally activated by Opaque2 and essential for endosperm development in maize. Nucleic Acids Research. 51(15). 7832–7850. 2 indexed citations
5.
Li, Jiankun, Xiaohuan Mu, Jie Gao, et al.. (2022). Underlying mechanism of accelerated cell death and multiple disease resistance in a maizelethal leaf spot 1allele. Journal of Experimental Botany. 73(12). 3991–4007. 15 indexed citations
6.
Ren, Mengmeng, et al.. (2020). Fine mapping of a major QTL qMES20-10 associated with deep-seeding tolerance in maize and analysis of differentially expressed genes. ACTA AGRONOMICA SINICA. 46(7). 1016–1024. 1 indexed citations
7.
Wu, Jia, Jiale Li, Yuan Yuan, et al.. (2019). Cell Membrane-Interrupting Antimicrobial Peptides from Isatis indigotica Fortune Isolated by a Bacillus subtilis Expression System. Biomolecules. 10(1). 30–30. 26 indexed citations
8.
Li, Li, Cheng He, Charles R. Dietrich, et al.. (2019). Maize glossy6 is involved in cuticular wax deposition and drought tolerance. Journal of Experimental Botany. 70(12). 3089–3099. 64 indexed citations
9.
Du, Xuemei, Ting Fang, Yan Liu, et al.. (2019). Transcriptome Profiling Predicts New Genes to Promote Maize Callus Formation and Transformation. Frontiers in Plant Science. 10. 1633–1633. 31 indexed citations
10.
Zheng, Jun, Cheng He, Yang Qin, et al.. (2018). Co‐expression analysis aids in the identification of genes in the cuticular wax pathway in maize. The Plant Journal. 97(3). 530–542. 34 indexed citations
11.
Pang, Junling, Junjie Fu, Na Zong, et al.. (2018). Kernel size‐related genes revealed by an integrated eQTL analysis during early maize kernel development. The Plant Journal. 98(1). 19–32. 34 indexed citations
12.
Chen, Yan, Jiankun Li, Jing Xu, et al.. (2017). Mutations in the maize zeta-carotene desaturase gene lead to viviparous kernel. PLoS ONE. 12(3). e0174270–e0174270. 13 indexed citations
13.
Liu, Yan, et al.. (2017). Transcriptome Analysis of Maize Immature Embryos Reveals the Roles of Cysteine in Improving Agrobacterium Infection Efficiency. Frontiers in Plant Science. 8. 1778–1778. 12 indexed citations
14.
15.
Gou, Mingyue, Zhenying Shi, Ying Zhu, et al.. (2011). The F‐box protein CPR1/CPR30 negatively regulates R protein SNC1 accumulation. The Plant Journal. 69(3). 411–420. 124 indexed citations
16.
Zhang, Jianfu, et al.. (2010). Characterization of a C 4 maize pyruvate orthophosphate dikinase expressed in C 3 transgenic rice plants. AFRICAN JOURNAL OF BIOTECHNOLOGY. 9(2). 234–242. 7 indexed citations
17.
Wang, Guoying. (2009). Identification of Deep-seeding Tolerance in Different Maize Inbred Lines and Their Physiological Response to Deep-seeding Condition. Yumi kexue. 9 indexed citations
18.
Tang, Xia, et al.. (2005). Cloning of a Full 3′ End cDNA Sequence of ACC Synthase from Fuyu Persimmon. 1 indexed citations
19.
Ding, Fei, et al.. (2004). Identification of doubled haploid plants from maize gynogenesis by SSR molecular marker. ACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSIS. 26(6). 859–862. 1 indexed citations
20.
Jun, Zhao, et al.. (2002). Genetic analysis of maize resistance to Curvularia leaf spot by ADAA model. ACTA AGRONOMICA SINICA. 28(1). 127–130. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026