Jiandong Wu

1.2k total citations
34 papers, 874 citations indexed

About

Jiandong Wu is a scholar working on Plant Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Jiandong Wu has authored 34 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 12 papers in Molecular Biology and 7 papers in Nutrition and Dietetics. Recurrent topics in Jiandong Wu's work include Plant Stress Responses and Tolerance (11 papers), Plant Molecular Biology Research (11 papers) and Biofuel production and bioconversion (7 papers). Jiandong Wu is often cited by papers focused on Plant Stress Responses and Tolerance (11 papers), Plant Molecular Biology Research (11 papers) and Biofuel production and bioconversion (7 papers). Jiandong Wu collaborates with scholars based in China, Netherlands and Australia. Jiandong Wu's co-authors include Beijiu Cheng, Yingli Jiang, Kalliopi A. Roubelakis–Angelakis, Alessandra Cona, Riccardo Angelini, Paraskevi Tavladoraki, Panagiotis N. Moschou, Long Chen, Wei Zhou and Weijun Chen and has published in prestigious journals such as Scientific Reports, Journal of Cell Science and International Journal of Molecular Sciences.

In The Last Decade

Jiandong Wu

28 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiandong Wu China	13	759	479	53	43	36	34	874
Di-An Ni China	14	686 0.9×	299 0.6×	58 1.1×	19 0.4×	28 0.8×	23	770
P. B. Kavi Kishor India	13	888 1.2×	394 0.8×	55 1.0×	24 0.6×	110 3.1×	28	1.0k
Stefan Reuscher Japan	11	548 0.7×	246 0.5×	34 0.6×	24 0.6×	71 2.0×	13	625
Yongjun Fang China	16	398 0.5×	474 1.0×	26 0.5×	21 0.5×	62 1.7×	42	702
Yuchan Zhou Australia	14	608 0.8×	330 0.7×	37 0.7×	21 0.5×	22 0.6×	28	750
Hua Qin China	19	1.2k 1.6×	481 1.0×	38 0.7×	25 0.6×	92 2.6×	31	1.4k
Zhengwu Fang China	17	755 1.0×	438 0.9×	30 0.6×	17 0.4×	72 2.0×	58	918
Raquel Iglesias‐Fernández Spain	17	729 1.0×	476 1.0×	26 0.5×	32 0.7×	8 0.2×	26	830
Newton Deniz Piovesan Brazil	11	423 0.6×	133 0.3×	32 0.6×	34 0.8×	26 0.7×	40	553
Baojian Guo China	15	667 0.9×	234 0.5×	42 0.8×	19 0.4×	86 2.4×	45	768

Countries citing papers authored by Jiandong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jiandong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiandong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiandong Wu. A scholar is included among the top collaborators of Jiandong 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 Jiandong Wu. Jiandong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ren, Yun, et al.. (2025). SECNN: Squeeze-and-Excitation Convolutional Neural Network for Sentence Classification. IEEE Access. 13. 42858–42865.

Wu, Jiandong, et al.. (2025). Light interacts with mechanical stress to regulate the seed-to-seedling transition. Stress Biology. 5(1). 76–76.

Wu, Jiandong, et al.. (2025). DINCP: Dual Interaction Network for Digital Bathymetric Model Superresolution via Codebook Priors. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 19363–19377.

Wang, Jiahui, et al.. (2025). ZmASR6 positively regulates salt stress tolerance in maize. Socio-Environmental Systems Modeling. 2. 100067–100067. 4 indexed citations

Wu, Jiandong, et al.. (2025). Digital Transformation of Vocational Education in South China: Challenges, Breakthroughs, and Data-Driven Insights Using Machine Learning Models. 56–61.

Chen, Yifan, Jiandong Wu, Yin Zhang, et al.. (2025). Exserohilum turcicum Alters Phyllosphere Microbiome Diversity and Functions—Implications for Plant Health Management. Microorganisms. 13(3). 524–524. 1 indexed citations

Chen, Long, et al.. (2025). ZmSSRP1, transactivated by OPAQUE11, positively regulates starch biosynthesis in maize endosperm. Plant Biotechnology Journal. 23(9). 3770–3782.

Liu, Yuqing, et al.. (2024). ZmASR1 negatively regulates drought stress tolerance in maize. Plant Physiology and Biochemistry. 211. 108684–108684. 7 indexed citations

Zhang, Qin, et al.. (2022). Overexpression of the maize phytochelatin synthase gene (ZmPCS1) enhances Cd tolerance in plants. Acta Physiologiae Plantarum. 44(11). 11 indexed citations

10.

Jiang, Yingli, Xiaojian Peng, Qin Zhang, et al.. (2022). Regulation of Drought and Salt Tolerance by OsSKL2 and OsASR1 in Rice. Rice. 15(1). 46–46. 21 indexed citations

11.

Wu, Jiandong, Long Chen, Wei Zhou, et al.. (2019). The DOF-Domain Transcription Factor ZmDOF36 Positively Regulates Starch Synthesis in Transgenic Maize. Frontiers in Plant Science. 10. 465–465. 57 indexed citations

12.

Dong, Qing, Qianqian Xu, Jingjing Kong, et al.. (2019). Overexpression of ZmbZIP22 gene alters endosperm starch content and composition in maize and rice. Plant Science. 283. 407–415. 38 indexed citations

13.

Wu, Jiandong, et al.. (2019). Expression of the maize MYB transcription factor ZmMYB3R enhances drought and salt stress tolerance in transgenic plants. Plant Physiology and Biochemistry. 137. 179–188. 135 indexed citations

14.

Wu, Jiandong, Miao Ye, & Zaigui Wang. (2017). Extraction, Purification and Anti-Hyperlipidemic Activities of Total Flavonoids from Corn Silk. Pakistan Journal of Zoology. 49(6). 5 indexed citations

15.

Wu, Jiandong, Yingli Jiang, Jing Jin, et al.. (2016). Genomewide analysis of MATE-type gene family in maize reveals microsynteny and their expression patterns under aluminum treatment. Journal of Genetics. 95(3). 691–704. 43 indexed citations

16.

Wu, Jiandong, Xiaolei Jin, Yang Zhao, et al.. (2016). Evolution of the defensin-like gene family in grass genomes. Journal of Genetics. 95(1). 53–62. 11 indexed citations

17.

Wu, Jiandong, et al.. (2015). Cloning and functional analysis of the promoter of a maize starch synthase III gene (ZmDULL1). Genetics and Molecular Research. 14(2). 5468–5479. 10 indexed citations

18.

Wu, Jiandong, Meng Wang, Hui Zhang, & Ruoxue Liu. (2015). Extreme Thermophilic Enzyme CelB-m Efficiently Degrades the Cellulose in Transgenic Arabidopsis thaliana. Applied Biochemistry and Biotechnology. 177(2). 362–372. 3 indexed citations

19.

Moschou, Panagiotis N., Jiandong Wu, Alessandra Cona, et al.. (2012). The polyamines and their catabolic products are significant players in the turnover of nitrogenous molecules in plants. Journal of Experimental Botany. 63(14). 5003–5015. 240 indexed citations

20.

Wang, Yunpeng, Ruoxue Liu, Lei Chen, et al.. (2009). Nicotiana tabacumTTG1 contributes to ParA1-induced signalling and cell death in leaf trichomes. Journal of Cell Science. 122(15). 2673–2685. 39 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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