Zeng‐Yu Wang

7.9k total citations · 1 hit paper
137 papers, 5.5k citations indexed

About

Zeng‐Yu Wang is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Zeng‐Yu Wang has authored 137 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Plant Science, 68 papers in Molecular Biology and 35 papers in Agronomy and Crop Science. Recurrent topics in Zeng‐Yu Wang's work include Plant Molecular Biology Research (37 papers), Bioenergy crop production and management (29 papers) and Biofuel production and bioconversion (25 papers). Zeng‐Yu Wang is often cited by papers focused on Plant Molecular Biology Research (37 papers), Bioenergy crop production and management (29 papers) and Biofuel production and bioconversion (25 papers). Zeng‐Yu Wang collaborates with scholars based in United States, China and Sweden. Zeng‐Yu Wang's co-authors include Richard A. Dixon, Chunxiang Fu, Jiyi Zhang, Yuhong Tang, Lloyd W. Sumner, Corey D. Broeckling, Elane Wright, Chuanen Zhou, Yaxin Ge and Jin Nakashima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Zeng‐Yu Wang

132 papers receiving 5.4k citations

Hit Papers

LACCASE Is Necessary and Nonredundant with PEROXIDASE for... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zeng‐Yu Wang United States 45 3.7k 2.9k 996 807 306 137 5.5k
Maureen C. McCann United States 51 6.2k 1.7× 3.2k 1.1× 1.4k 1.4× 328 0.4× 337 1.1× 104 7.9k
Phillip Morris United Kingdom 34 1.5k 0.4× 1.7k 0.6× 501 0.5× 442 0.5× 463 1.5× 107 3.4k
Neil J. Shirley Australia 37 4.2k 1.1× 2.1k 0.7× 776 0.8× 213 0.3× 386 1.3× 93 5.5k
Chung‐Jui Tsai United States 37 2.4k 0.7× 2.8k 1.0× 680 0.7× 327 0.4× 480 1.6× 95 4.5k
Liang Guo China 43 3.7k 1.0× 3.3k 1.1× 260 0.3× 102 0.1× 78 0.3× 179 6.0k
Xiaojie Wang China 45 4.0k 1.1× 2.1k 0.7× 112 0.1× 199 0.2× 109 0.4× 212 6.0k
Xiaoqing Liu China 30 1.4k 0.4× 1.5k 0.5× 276 0.3× 63 0.1× 312 1.0× 201 3.5k
Jie Zhao China 25 450 0.1× 1.3k 0.4× 422 0.4× 909 1.1× 81 0.3× 168 3.2k
Carole L. Cramer United States 37 2.6k 0.7× 2.8k 0.9× 238 0.2× 76 0.1× 686 2.2× 77 4.8k

Countries citing papers authored by Zeng‐Yu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zeng‐Yu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeng‐Yu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zeng‐Yu Wang. A scholar is included among the top collaborators of Zeng‐Yu 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 Zeng‐Yu Wang. Zeng‐Yu 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, Zeng‐Yu, et al.. (2024). Metabolomics and proteomics reveal the inhibitory effect of Lactobacillus crispatus on cervical cancer. Talanta. 281. 126839–126839. 4 indexed citations
2.
Wen, Jiangqi, et al.. (2024). Leaf senescence in forage and turf grass: progress and prospects. 4(1). 0–0. 5 indexed citations
3.
Wen, Jiangqi, et al.. (2024). Physical Seed Dormancy in Legumes: Molecular Advances and Perspectives. Plants. 13(11). 1473–1473. 8 indexed citations
4.
Dai, Xiaofeng, et al.. (2024). An effective electricity worker identification approach based on Yolov3-Arcface. Heliyon. 10(4). e26184–e26184. 3 indexed citations
5.
Wang, Zeng‐Yu, Baohong Liu, Ling Lin, & Liang Qiao. (2023). Mass spectrometry for mitochondrial multi-omics. TrAC Trends in Analytical Chemistry. 163. 117063–117063. 3 indexed citations
6.
Wolabu, Tezera W., Kashif Mahmood, Lili Cong, et al.. (2023). Multiplex CRISPR/Cas9‐mediated mutagenesis of alfalfa FLOWERING LOCUS Ta1 (MsFTa1) leads to delayed flowering time with improved forage biomass yield and quality. Plant Biotechnology Journal. 21(7). 1383–1392. 27 indexed citations
7.
Li, Zhenyi, et al.. (2022). Dissection of the response mechanism of alfalfa under phosphite stress based on metabolomic and transcriptomic data. Plant Physiology and Biochemistry. 192. 35–49. 16 indexed citations
8.
Ma, Lin, et al.. (2022). Identification and Characterization of Salt- and Drought-Responsive AQP Family Genes in Medicagosativa L.. International Journal of Molecular Sciences. 23(6). 3342–3342. 8 indexed citations
9.
Chai, Guohua, Guang Qi, Dian Wang, et al.. (2022). The CCCH zinc finger protein C3H15 negatively regulates cell elongation by inhibiting brassinosteroid signaling. PLANT PHYSIOLOGY. 189(1). 285–300. 21 indexed citations
10.
Chen, Yu, Hongjie Wang, Juan Sun, et al.. (2022). A High-Quality Genome Assembly of Sorghum dochna. Frontiers in Genetics. 13. 844385–844385. 2 indexed citations
11.
Li, Zhenyi, Yao Wu, Jixiang Wang, et al.. (2021). Integrative analysis of the metabolome and transcriptome reveal the phosphate deficiency response pathways of alfalfa. Plant Physiology and Biochemistry. 170. 49–63. 27 indexed citations
12.
Chai, Maofeng, Annika Sonntag, Shixing Wang, et al.. (2021). A seed coat-specific β-ketoacyl-CoA synthase, KCS12, is critical for preserving seed physical dormancy. PLANT PHYSIOLOGY. 186(3). 1606–1615. 32 indexed citations
13.
Dong, Shuwei, et al.. (2021). Comparative Transcriptome Analysis of Salt Stress-Induced Leaf Senescence in Medicago truncatula. Frontiers in Plant Science. 12. 666660–666660. 18 indexed citations
14.
Mazarei, Mitra, Holly L. Baxter, Avinash C. Srivastava, et al.. (2020). Silencing Folylpolyglutamate Synthetase1 (FPGS1) in Switchgrass (Panicum virgatum L.) Improves Lignocellulosic Biofuel Production. Frontiers in Plant Science. 11. 843–843. 7 indexed citations
15.
Wang, Hongfeng, Yiteng Xu, Xue Zhang, et al.. (2019). HEADLESS Regulates Auxin Response and Compound Leaf Morphogenesis in Medicago truncatula. Frontiers in Plant Science. 10. 1024–1024. 20 indexed citations
16.
Park, Jongjin, Chang Geun Yoo, Yunqiao Pu, et al.. (2017). Defined tetra-allelic gene disruption of the 4-coumarate:coenzyme A ligase 1 (Pv4CL1) gene by CRISPR/Cas9 in switchgrass results in lignin reduction and improved sugar release. Biotechnology for Biofuels. 10(1). 284–284. 69 indexed citations
17.
Zhang, Cankui, Lu Han, Thomas L. Slewinski, et al.. (2014). Symplastic Phloem Loading in Poplar. PLANT PHYSIOLOGY. 166(1). 306–313. 62 indexed citations
19.
Zhao, Qiao, Jin Nakashima, Fang Chen, et al.. (2013). LACCASE Is Necessary and Nonredundant with PEROXIDASE for Lignin Polymerization during Vascular Development in Arabidopsis   . The Plant Cell. 25(10). 3976–3987. 429 indexed citations breakdown →
20.
Ge, Yaxin & Zeng‐Yu Wang. (2006). Tall Fescue (Festuca arundinacea Schreb.). Humana Press eBooks. 1224. 75–81. 5 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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