Haijun Wu

845 total citations
23 papers, 637 citations indexed

About

Haijun Wu is a scholar working on Plant Science, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Haijun Wu has authored 23 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 8 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Haijun Wu's work include Plant Molecular Biology Research (12 papers), Soybean genetics and cultivation (6 papers) and Plant Stress Responses and Tolerance (5 papers). Haijun Wu is often cited by papers focused on Plant Molecular Biology Research (12 papers), Soybean genetics and cultivation (6 papers) and Plant Stress Responses and Tolerance (5 papers). Haijun Wu collaborates with scholars based in China, United States and Germany. Haijun Wu's co-authors include Zhong Zhao, Zhaoxia Tian, Jian Zeng, Zhicheng Dong, Caiqiong Yang, Jiang Liu, Wenyu Yang, Feng Yang, Qing Zhang and Xiaochun Wang and has published in prestigious journals such as Science, The EMBO Journal and The Plant Cell.

In The Last Decade

Haijun Wu

23 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haijun Wu China 11 557 361 48 30 28 23 637
Hukam C. Rawal India 13 381 0.7× 273 0.8× 23 0.5× 12 0.4× 44 1.6× 26 500
Feiyi Huang China 12 286 0.5× 246 0.7× 39 0.8× 5 0.2× 12 0.4× 37 399
Sang-Bong Choi South Korea 11 786 1.4× 567 1.6× 23 0.5× 18 0.6× 18 0.6× 11 1.0k
Christin Fellenberg Germany 10 270 0.5× 343 1.0× 9 0.2× 9 0.3× 36 1.3× 12 463
Guogui Ning China 18 528 0.9× 658 1.8× 18 0.4× 28 0.9× 29 1.0× 32 888
Sami Irar Spain 10 479 0.9× 455 1.3× 6 0.1× 44 1.5× 17 0.6× 13 719
Anh-Tung Pham United States 8 476 0.9× 117 0.3× 20 0.4× 25 0.8× 12 0.4× 8 545
Andrea J. Cardinal United States 16 613 1.1× 130 0.4× 40 0.8× 60 2.0× 15 0.5× 30 697
Yongxiang Liao China 11 294 0.5× 168 0.5× 14 0.3× 12 0.4× 9 0.3× 24 427
Yongcai Lai China 11 875 1.6× 376 1.0× 13 0.3× 22 0.7× 19 0.7× 24 984

Countries citing papers authored by Haijun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haijun Wu. A scholar is included among the top collaborators of Haijun 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 Haijun Wu. Haijun 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.
Chen, Xiaoyan, et al.. (2025). Endogenous H 2 S promotes Arabidopsis flowering through the regulation of GA20ox4 in the gibberellin pathway. Physiologia Plantarum. 177(1). e70084–e70084. 1 indexed citations
2.
Wu, Haijun, et al.. (2024). Heat stress-induced decapping of WUSCHEL mRNA enhances stem cell thermotolerance in Arabidopsis. Molecular Plant. 17(12). 1820–1832. 6 indexed citations
3.
4.
Yuan, Guoqiang, Junmei Wang, Huanhuan Gao, et al.. (2023). AtHSPR functions in gibberellin-mediated primary root growth by interacting with KNAT5 and OFP1 in Arabidopsis. Plant Cell Reports. 42(10). 1629–1649. 5 indexed citations
5.
Liu, Chan, et al.. (2022). AP1/2β-mediated exocytosis of tapetum-specific transporters is required for pollen development in Arabidopsis thaliana. The Plant Cell. 34(10). 3961–3982. 20 indexed citations
6.
Wu, Haijun, Jian Li, Guoqiang Yuan, et al.. (2022). Hydrogen sulfide reduces cell death through regulating autophagy during submergence in Arabidopsis. Plant Cell Reports. 41(7). 1531–1548. 5 indexed citations
7.
Wu, Haijun, Zhicheng Dong, Chen Shao, et al.. (2020). WUSCHEL triggers innate antiviral immunity in plant stem cells. Science. 370(6513). 227–231. 86 indexed citations
8.
Wu, Haijun, et al.. (2020). Characterization of CiWRI1 from Carya illinoinensis in Seed Oil Biosynthesis. Forests. 11(8). 818–818. 7 indexed citations
9.
Yang, Caiqiong, Haijun Wu, Zhongkai Zhu, et al.. (2020). Yellow- and green-cotyledon seeds of black soybean: Phytochemical and bioactive differences determine edibility and medical applications. Food Bioscience. 39. 100842–100842. 6 indexed citations
10.
Zeng, Jian, et al.. (2018). A Molecular Framework for Auxin-Controlled Homeostasis of Shoot Stem Cells in Arabidopsis. Molecular Plant. 11(7). 899–913. 83 indexed citations
11.
Zeng, Jian, Zhicheng Dong, Haijun Wu, Zhaoxia Tian, & Zhong Zhao. (2017). Redox regulation of plant stem cell fate. The EMBO Journal. 36(19). 2844–2855. 202 indexed citations
12.
Liu, Jiang, Weiguo Liu, Haijun Wu, et al.. (2017). Metabolomic tool to identify soybean [Glycine max (L.) Merrill] germplasms with a high level of shade tolerance at the seedling stage. Scientific Reports. 7(1). 42478–42478. 18 indexed citations
13.
Yang, Caiqiong, Nasır Iqbal, Haijun Wu, et al.. (2017). Targeted metabolomics analysis of fatty acids in soybean seeds using GC-MS to reveal the metabolic manipulation of shading in the intercropping system. Analytical Methods. 9(14). 2144–2152. 14 indexed citations
14.
Liu, Jiang, Caiqiong Yang, Qing Zhang, et al.. (2016). Partial improvements in the flavor quality of soybean seeds using intercropping systems with appropriate shading. Food Chemistry. 207. 107–114. 40 indexed citations
15.
Liu, Jiang, Haijun Wu, Caiqiong Yang, et al.. (2016). Metabolism variation and better storability of dark- versus light-coloured soybean (Glycine max L. Merr.) seeds. Food Chemistry. 223. 104–113. 20 indexed citations
16.
Wu, Haijun, Caiqiong Yang, Jing Zhang, et al.. (2016). Metabolite profiling of isoflavones and anthocyanins in black soybean [Glycine max (L.) Merr.] seeds by HPLC-MS and geographical differentiation analysis in Southwest China. Analytical Methods. 9(5). 792–802. 31 indexed citations
17.
Liu, Jiang, Ke Zhang, Haijun Wu, et al.. (2016). Pod Mildew on Soybeans Can Mitigate the Damage to the Seed Arising from Field Mold at Harvest Time. Journal of Agricultural and Food Chemistry. 64(48). 9135–9142. 16 indexed citations
18.
Cui, Yuchao, Shaofei Rao, Xiaoshuang Wang, et al.. (2015). AtLa1 protein initiates IRES‐dependent translation of WUSCHEL mRNA and regulates the stem cell homeostasis of Arabidopsis in response to environmental hazards. Plant Cell & Environment. 38(10). 2098–2114. 42 indexed citations
19.
Chen, Kan, et al.. (2011). Somatic embryogenesis and mass spectrometric identification of proteins related to somatic embryogenesis in Eruca sativa. Plant Biotechnology Reports. 6(2). 113–122. 9 indexed citations
20.
Harper, John, et al.. (2005). Study of allelopathic interference of rapeseed (Brassica napus var. belinda) on germination and growth of cotton (Gossypium hirsutum) and it's dominant weeds.. 58(4). 283–286. 2 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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