Dawei Xue

5.5k total citations · 1 hit paper
90 papers, 3.4k citations indexed

About

Dawei Xue is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Dawei Xue has authored 90 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Plant Science, 27 papers in Molecular Biology and 18 papers in Genetics. Recurrent topics in Dawei Xue's work include Plant Stress Responses and Tolerance (25 papers), Plant Molecular Biology Research (18 papers) and Genetic Mapping and Diversity in Plants and Animals (15 papers). Dawei Xue is often cited by papers focused on Plant Stress Responses and Tolerance (25 papers), Plant Molecular Biology Research (18 papers) and Genetic Mapping and Diversity in Plants and Animals (15 papers). Dawei Xue collaborates with scholars based in China, Australia and United States. Dawei Xue's co-authors include Qian Qian, Dali Zeng, Guojun Dong, Meixian Yan, Jiayang Li, Yonghong Wang, Guifu Liu, Xudong Zhu, Zefu Lu and Jing Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Dawei Xue

82 papers receiving 3.3k citations

Hit Papers

Regulation of OsSPL14 by OsmiR156 defines ideal plant arc... 2010 2026 2015 2020 2010 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dawei Xue China 27 3.0k 1.2k 745 269 174 90 3.4k
Xingming Lian China 34 4.0k 1.4× 1.0k 0.9× 1.1k 1.5× 327 1.2× 67 0.4× 49 4.6k
Humira Sonah India 39 5.0k 1.7× 1.2k 1.0× 599 0.8× 179 0.7× 153 0.9× 130 5.7k
Muhammad Qasim Shahid China 31 2.5k 0.9× 912 0.8× 894 1.2× 131 0.5× 119 0.7× 126 3.1k
Sichul Lee South Korea 28 3.6k 1.2× 1.3k 1.1× 310 0.4× 247 0.9× 107 0.6× 52 3.9k
Tsuyu Ando Japan 32 3.5k 1.2× 661 0.6× 1.5k 2.1× 516 1.9× 106 0.6× 62 3.9k
Wusirika Ramakrishna United States 36 3.9k 1.3× 1.7k 1.4× 847 1.1× 221 0.8× 199 1.1× 93 4.6k
Shannon R. M. Pinson United States 28 3.1k 1.1× 460 0.4× 1.5k 2.1× 211 0.8× 126 0.7× 55 3.7k
Charu Lata India 29 3.2k 1.1× 1.2k 1.0× 261 0.4× 151 0.6× 152 0.9× 89 3.7k
Kazuko Ono Japan 15 4.0k 1.3× 1.7k 1.4× 696 0.9× 215 0.8× 79 0.5× 19 4.4k
Stéphane Muños France 22 2.0k 0.7× 856 0.7× 437 0.6× 136 0.5× 162 0.9× 41 2.5k

Countries citing papers authored by Dawei Xue

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawei Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Dawei Xue. A scholar is included among the top collaborators of Dawei Xue 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 Dawei Xue. Dawei Xue 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.
Mou, Wangshu, Joanna K. Polko, Isaiah Taylor, et al.. (2025). Ethylene-independent modulation of root development by ACC via downregulation of WOX5 and group I CLE peptide expression. Proceedings of the National Academy of Sciences. 122(6). e2417735122–e2417735122. 6 indexed citations
2.
Li, Tongtong, Bin Li, Yuanyuan Wang, et al.. (2025). WRKY Transcription Factors in Rice: Key Regulators Orchestrating Development and Stress Resilience. Plant Cell & Environment. 48(11). 8388–8406. 3 indexed citations
4.
Dang, Cong Thuan, et al.. (2024). The application, safety, and challenge of nanomaterials on plant growth and stress tolerance. Industrial Crops and Products. 222. 119691–119691. 12 indexed citations
5.
Zhang, Dajian, et al.. (2024). Phenoxyacetic acid enhances nodulation symbiosis during the rapid growth stage of soybean. Proceedings of the National Academy of Sciences. 121(37). e2322217121–e2322217121. 3 indexed citations
6.
Singh, Vijay Pratap, Yuanyuan Wang, Shouli Feng, et al.. (2024). Evolution of reactive oxygen species cellular targets for plant development. Trends in Plant Science. 29(8). 865–877. 30 indexed citations
7.
Su, Jinghan, Yi Jing, Feibo Wu, et al.. (2024). Overexpression of tonoplast Ca2+‐ATPase in guard cells synergistically enhances stomatal opening and drought tolerance. Journal of Integrative Plant Biology. 66(8). 1587–1602. 2 indexed citations
8.
Tong, Tao, Wei Jiang, Guang Chen, et al.. (2024). Molecular and physiological evidence of HvCaLB1 regulates calcium homeostasis and salt tolerance in Barley. Plant Growth Regulation. 104(1). 455–473. 3 indexed citations
9.
Ding, Mingyu, Danni Zhou, Xian Zhang, et al.. (2023). Genome-Wide Identification and Expression Analysis of the Stearoyl-Acyl Carrier Protein Δ9 Desaturase Gene Family under Abiotic Stress in Barley. International Journal of Molecular Sciences. 25(1). 113–113.
10.
Zhang, Xiaoqin, et al.. (2021). Genome-Wide Identification of the HMA Gene Family and Expression Analysis under Cd Stress in Barley. Plants. 10(9). 1849–1849. 22 indexed citations
11.
Zheng, Junjun, Tao Tong, Yunxia Fang, et al.. (2021). Genome-Wide Identification of WRKY Gene Family and Expression Analysis under Abiotic Stress in Barley. Agronomy. 11(3). 521–521. 23 indexed citations
12.
Tong, Tao, Yunxia Fang, Junjun Zheng, et al.. (2020). Genome-Wide Identification of Barley ABC Genes and Their Expression in Response to Abiotic Stress Treatment. Plants. 9(10). 1281–1281. 36 indexed citations
13.
Fang, Yunxia, Xueli Lu, Junjun Zheng, et al.. (2019). Differential phosphoproteome study of the response to cadmium stress in rice. Ecotoxicology and Environmental Safety. 180. 780–788. 16 indexed citations
14.
Cai, Shengguan, Guang Chen, Yuanyuan Wang, et al.. (2017). Evolutionary Conservation of ABA Signaling for Stomatal Closure. PLANT PHYSIOLOGY. 174(2). 732–747. 164 indexed citations
15.
Zhang, Xiaoqin, Hua Jiang, Hua Wang, et al.. (2017). Transcriptome Analysis of Rice Seedling Roots in Response to Potassium Deficiency. Scientific Reports. 7(1). 5523–5523. 38 indexed citations
16.
Xue, Dawei, et al.. (2011). Protein Response of Rice Leaves to High Temperature Stress and Its Difference of Genotypes at Different Growth Stage. ACTA AGRONOMICA SINICA. 37(5). 820–831. 6 indexed citations
17.
Zhang, Xiaoqin, et al.. (2011). Response of transgenic rice at germination traits under salt and alkali stress. African Journal of Agricultural Research. 6(18). 4335–4339. 3 indexed citations
18.
Wei, Kang, Dawei Xue, Xiaoli Jin, Feibo Wu, & Guoping Zhang. (2009). Genotypic and Environmental Variation of β-amylase Activity, β-glucan and Protein Fraction Contents in Tibetan Wild Barley. Journal of Zhejiang University Agriculture and Life Sciences. 35(6). 639–644. 5 indexed citations
19.
Xue, Dawei, Zhenyu Gao, Meixian Yan, et al.. (2008). A putative lipase gene EXTRA GLUME1 regulates both empty‐glume fate and spikelet development in rice. The Plant Journal. 57(4). 593–605. 72 indexed citations
20.
Guo, Longbiao, Dawei Xue, Huizhong Wang, et al.. (2006). Improvement of Rice Salt-Tolerance by Using an Integrated Method of Gene Transformation and Traditional Breeding. Zhongguo shuidao kexue. 20(2). 141–146. 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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