Changai Wu

6.5k total citations · 1 hit paper
80 papers, 5.1k citations indexed

About

Changai Wu is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Changai Wu has authored 80 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Plant Science, 60 papers in Molecular Biology and 6 papers in Biotechnology. Recurrent topics in Changai Wu's work include Plant Molecular Biology Research (42 papers), Plant Stress Responses and Tolerance (38 papers) and Photosynthetic Processes and Mechanisms (17 papers). Changai Wu is often cited by papers focused on Plant Molecular Biology Research (42 papers), Plant Stress Responses and Tolerance (38 papers) and Photosynthetic Processes and Mechanisms (17 papers). Changai Wu collaborates with scholars based in China, United States and Ireland. Changai Wu's co-authors include Chengchao Zheng, Guodong Yang, Jinguang Huang, Yanjie Li, Xin Tian, Han-Hua Liu, Xingqi Guo, Kang Yan, Yinghui Guo and Qingwei Meng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Changai Wu

78 papers receiving 5.0k citations

Hit Papers

Microarray-based analysis of stress-regulated microRNAs i... 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changai Wu China 37 4.5k 2.9k 115 114 97 80 5.1k
Nenghui Ye China 33 4.0k 0.9× 2.0k 0.7× 139 1.2× 199 1.7× 62 0.6× 78 4.5k
Hiroyuki Nonogaki United States 30 4.4k 1.0× 2.1k 0.7× 165 1.4× 71 0.6× 90 0.9× 59 4.8k
Manu Agarwal India 31 6.0k 1.4× 3.9k 1.4× 57 0.5× 271 2.4× 66 0.7× 62 6.9k
Byeong‐ha Lee South Korea 33 5.5k 1.2× 3.5k 1.2× 52 0.5× 194 1.7× 59 0.6× 55 6.2k
Julia Kehr Germany 34 3.8k 0.8× 2.2k 0.8× 63 0.5× 61 0.5× 58 0.6× 65 4.7k
William Terzaghi United States 38 4.5k 1.0× 3.2k 1.1× 61 0.5× 373 3.3× 69 0.7× 72 5.3k
Karen M. Léon‐Kloosterziel Netherlands 21 3.0k 0.7× 1.8k 0.6× 49 0.4× 170 1.5× 40 0.4× 29 3.6k
Omar Borsani Uruguay 22 2.9k 0.6× 1.5k 0.5× 51 0.4× 65 0.6× 41 0.4× 59 3.4k
Karen S. Schumaker United States 34 6.2k 1.4× 3.7k 1.3× 83 0.7× 147 1.3× 65 0.7× 44 7.0k

Countries citing papers authored by Changai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Changai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Changai Wu. A scholar is included among the top collaborators of Changai Wu 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 Changai Wu. Changai Wu 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.
Zhang, Kaiyuan, Jinxin Lin, Jinguang Huang, et al.. (2024). N-glycosylation of SnRK2s affects NADPH maintenance in peroxisomes during prolonged ABA signalling. Nature Communications. 15(1). 6630–6630. 9 indexed citations
2.
Xu, Weibo, Qian‐Huan Guo, Peng Liu, et al.. (2024). A long non-coding RNA functions as a competitive endogenous RNA to modulate TaNAC018 by acting as a decoy for tae-miR6206. Plant Molecular Biology. 114(3). 36–36. 6 indexed citations
3.
Lin, Qing, et al.. (2023). Transcription Factor SiDi19-3 Enhances Salt Tolerance of Foxtail Millet and Arabidopsis. International Journal of Molecular Sciences. 24(3). 2592–2592. 7 indexed citations
4.
Zheng, Yue, et al.. (2023). Halomonas ventosae JPT10 promotes salt tolerance in foxtail millet (Setaria italica) by affecting the levels of multiple antioxidants and phytohormones. SHILAP Revista de lepidopterología. 4(5). 275–290. 7 indexed citations
5.
Zheng, Hao, Jinguang Huang, Guodong Yang, et al.. (2022). DEMETHYLATION REGULATOR 1 regulates DNA demethylation of the nuclear and mitochondrial genomes. Journal of Integrative Plant Biology. 64(12). 2344–2360. 5 indexed citations
6.
Zhang, Lei, Qian Xu, Shizhong Zhang, et al.. (2021). SiCEP3, a C-terminally encoded peptide from Setaria italica , promotes ABA import and signaling. Journal of Experimental Botany. 72(18). 6260–6273. 15 indexed citations
8.
Li, Xiaohu, Qian‐Huan Guo, Peng Liu, et al.. (2021). Salt responsive alternative splicing of a RING finger E3 ligase modulates the salt stress tolerance by fine-tuning the balance of COP9 signalosome subunit 5A. PLoS Genetics. 17(11). e1009898–e1009898. 29 indexed citations
9.
Yu, Zipeng, Yang Xu, Lifei Zhu, et al.. (2019). The Brassicaceae‐specific secreted peptides, STMPs, function in plant growth and pathogen defense. Journal of Integrative Plant Biology. 62(4). 403–420. 30 indexed citations
10.
Li, Hui, Chen Xie, Shizhong Zhang, et al.. (2018). SENSITIVE TO SALT1, An Endoplasmic Reticulum-Localized Chaperone, Positively Regulates Salt Resistance. PLANT PHYSIOLOGY. 178(3). 1390–1405. 28 indexed citations
11.
Huang, Jinguang, et al.. (2017). Salt and methyl jasmonate aggravate growth inhibition and senescence in Arabidopsis seedlings via the JA signaling pathway. Plant Science. 261. 1–9. 38 indexed citations
12.
Li, Pengcheng, Jinguang Huang, Yuanyuan Li, et al.. (2016). Arabidopsis YL1/BPG2 Is Involved in Seedling Shoot Response to Salt Stress through ABI4. Scientific Reports. 6(1). 30163–30163. 18 indexed citations
13.
Li, Yanjie, et al.. (2013). NFYA1 Is Involved in Regulation of Postgermination Growth Arrest Under Salt Stress in Arabidopsis. PLoS ONE. 8(4). e61289–e61289. 90 indexed citations
14.
Yan, Kang, Peng Liu, Changai Wu, et al.. (2012). Stress-Induced Alternative Splicing Provides a Mechanism for the Regulation of MicroRNA Processing in Arabidopsis thaliana. Molecular Cell. 48(4). 521–531. 158 indexed citations
16.
Zhang, Liang, Dongmei Xi, Lu Luo, et al.. (2011). Cotton GhMPK2 is involved in multiple signaling pathways and mediates defense responses to pathogen infection and oxidative stress. FEBS Journal. 278(8). 1367–1378. 46 indexed citations
17.
Shi, Jing, Liang Zhang, Hailong An, Changai Wu, & Xingqi Guo. (2011). GhMPK16, a novel stress-responsive group D MAPK gene from cotton, is involved in disease resistance and drought sensitivity. BMC Molecular Biology. 12(1). 22–22. 87 indexed citations
18.
Li, Yanjie, et al.. (2010). Transcript profiling during the early development of the maize brace root via Solexa sequencing. FEBS Journal. 278(1). 156–166. 49 indexed citations
19.
Xi, Dongmei, et al.. (2010). Seed-specific overexpression of antioxidant genes in Arabidopsis enhances oxidative stress tolerance during germination and early seedling growth. Plant Biotechnology Journal. 8(7). 796–806. 46 indexed citations
20.
Li, Xiao Gang, et al.. (2008). Cotton metallothionein GhMT3a, a reactive oxygen species scavenger, increased tolerance against abiotic stress in transgenic tobacco and yeast. Journal of Experimental Botany. 60(1). 339–349. 180 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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