Wen Jing

2.6k total citations
74 papers, 1.8k citations indexed

About

Wen Jing is a scholar working on Plant Science, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Wen Jing has authored 74 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 22 papers in Molecular Biology and 12 papers in Artificial Intelligence. Recurrent topics in Wen Jing's work include Plant Stress Responses and Tolerance (22 papers), Plant nutrient uptake and metabolism (17 papers) and Plant Molecular Biology Research (15 papers). Wen Jing is often cited by papers focused on Plant Stress Responses and Tolerance (22 papers), Plant nutrient uptake and metabolism (17 papers) and Plant Molecular Biology Research (15 papers). Wen Jing collaborates with scholars based in China, United States and Macao. Wen Jing's co-authors include Wenhua Zhang, Wenhua Zhang, Like Shen, Rong Wang, Yakang Jin, Youliang Liu, Yue Shen, Qun Zhang, Fuzheng Wang and Hongliang Ge and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Wen Jing

69 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Jing China 23 1.5k 661 131 98 50 74 1.8k
Mingyong Zhang China 24 1.6k 1.1× 752 1.1× 148 1.1× 50 0.5× 28 0.6× 74 2.0k
Laurence Lejay France 27 2.9k 1.9× 777 1.2× 59 0.5× 54 0.6× 40 0.8× 33 3.3k
Karin Köhl Germany 18 1.1k 0.7× 630 1.0× 118 0.9× 47 0.5× 45 0.9× 38 1.5k
Bo Hu China 19 449 0.3× 808 1.2× 46 0.4× 31 0.3× 60 1.2× 57 1.1k
Phuc Thi Germany 18 1.4k 0.9× 1.1k 1.6× 160 1.2× 57 0.6× 34 0.7× 23 1.8k
Ling Xu China 26 1.6k 1.1× 1.0k 1.6× 111 0.8× 59 0.6× 95 1.9× 78 2.0k
Lili Fu China 22 727 0.5× 483 0.7× 52 0.4× 16 0.2× 52 1.0× 58 1.1k
Caifu Jiang China 28 3.3k 2.1× 1.5k 2.2× 293 2.2× 40 0.4× 23 0.5× 46 3.7k
Nirala Ramchiary India 26 1.1k 0.7× 613 0.9× 216 1.6× 49 0.5× 32 0.6× 61 1.5k

Countries citing papers authored by Wen Jing

Since Specialization
Citations

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

Fields of papers citing papers by Wen Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Jing. A scholar is included among the top collaborators of Wen Jing 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 Wen Jing. Wen Jing 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.
Yin, C. Cameron, Wen Jing, Shisheng Wang, et al.. (2025). CRISPR/Cas9-mediated ehd3 knockout enhances high unsaturated fatty acid content in zebrafish muscle. Food Bioscience. 71. 107164–107164.
3.
Jing, Wen, et al.. (2024). Fluorescent probes for sensing and visualizing methylglyoxal: progress, challenges, and perspectives. RSC Advances. 14(52). 38757–38777. 1 indexed citations
4.
Fu, Manqin, Yuehan Wang, Xiaoting Zhu, et al.. (2024). Metabolomics reveal changes of flavonoids during processing of “nine-processed” tangerine peel (Jiuzhi Chenpi). LWT. 214. 117132–117132. 2 indexed citations
5.
Jing, Wen, et al.. (2023). A meta-QTL analysis highlights genomic hotspots associated with phosphorus use efficiency in rice (Oryza sativa L.). Frontiers in Plant Science. 14. 1226297–1226297. 6 indexed citations
6.
Shen, Like, Na Li, Qi Wu, et al.. (2023). Rice potassium transporter OsHAK18 mediates phloem K + loading and redistribution. The Plant Journal. 116(1). 201–216. 13 indexed citations
7.
Deng, Ping, Like Shen, Chunxia Guo, et al.. (2023). OsCYBDOMG1, a cytochrome b561 domain-containing protein, regulates salt tolerance and grain yield in rice. Theoretical and Applied Genetics. 136(4). 76–76. 10 indexed citations
8.
Feng, Gong, Kaixin Zhang, Wen Jing, et al.. (2023). Rice OsMRG702 and Its Partner OsMRGBP Control Flowering Time through H4 Acetylation. International Journal of Molecular Sciences. 24(11). 9219–9219. 3 indexed citations
9.
Li, Yubao, Xianhui Zhang, Pengfei Gao, et al.. (2022). Strontium and simvastatin dual loaded hydroxyapatite microsphere reinforced poly(ε-caprolactone) scaffolds promote vascularized bone regeneration. Journal of Materials Chemistry B. 11(5). 1115–1130. 16 indexed citations
10.
Lin, Feng, et al.. (2022). Emerging roles of phosphoinositide-associated membrane trafficking in plant stress responses. Journal of genetics and genomics. 49(8). 726–734. 8 indexed citations
11.
Wang, Rong, et al.. (2022). The transcription factor OsMYBc and an E3 ligase regulate expression of a K+ transporter during salt stress. PLANT PHYSIOLOGY. 190(1). 843–859. 41 indexed citations
12.
Tian, Quanxiang, et al.. (2021). The rice aldehyde oxidase OsAO3 gene regulates plant growth, grain yield, and drought tolerance by participating in ABA biosynthesis. Biochemical and Biophysical Research Communications. 548. 189–195. 38 indexed citations
13.
Zhang, Hongsheng, et al.. (2020). The ATP-binding cassette transporter OsPDR1 regulates plant growth and pathogen resistance by affecting jasmonates biosynthesis in rice. Plant Science. 298. 110582–110582. 31 indexed citations
14.
Shen, Like, Qi Wu, Hongsheng Zhang, et al.. (2019). Phosphatidic acid promotes the activation and plasma membrane localization of MKK7 and MKK9 in response to salt stress. Plant Science. 287. 110190–110190. 40 indexed citations
15.
Zhu, Ying, Hongjiang Li, Qi Su, et al.. (2019). A phenotype-directed chemical screen identifies ponalrestat as an inhibitor of the plant flavin monooxygenase YUCCA in auxin biosynthesis. Journal of Biological Chemistry. 294(52). 19923–19933. 17 indexed citations
16.
Jing, Wen, et al.. (2017). Characterization and Fine Mapping of a Rice Leaf‐Rolling Mutant Deficient in Commissural Veins. Crop Science. 57(5). 2595–2604. 3 indexed citations
17.
Cao, Chunyan, Peipei Wang, Wen Jing, et al.. (2017). Phosphatidic acid binds to and regulates guanine nucleotide exchange factor 8 (GEF8) activity in Arabidopsis. Functional Plant Biology. 44(10). 1029–1038. 8 indexed citations
18.
Wang, Fuzheng, Wen Jing, & Wenhua Zhang. (2014). The mitogen-activated protein kinase cascade MKK1–MPK4 mediates salt signaling in rice. Plant Science. 227. 181–189. 73 indexed citations
19.
Shen, Peng, Rong Wang, Wen Jing, & Wenhua Zhang. (2010). Rice Phospholipase Dα is Involved in Salt Tolerance by the Mediation of H+-ATPase Activity and Transcription. Journal of Integrative Plant Biology. 53(4). 289–299. 37 indexed citations
20.
Jing, Wen, Wenwei Zhang, Ling Jiang, et al.. (2007). Two novel loci for pollen sterility in hybrids between the weedy strain Ludao and the Japonica variety Akihikari of rice (Oryza sativa L.). Theoretical and Applied Genetics. 114(5). 915–925. 31 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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