Jing Che

2.8k total citations
52 papers, 2.0k citations indexed

About

Jing Che is a scholar working on Plant Science, Molecular Biology and Global and Planetary Change. According to data from OpenAlex, Jing Che has authored 52 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 11 papers in Molecular Biology and 6 papers in Global and Planetary Change. Recurrent topics in Jing Che's work include Aluminum toxicity and tolerance in plants and animals (18 papers), Plant Stress Responses and Tolerance (14 papers) and Silicon Effects in Agriculture (11 papers). Jing Che is often cited by papers focused on Aluminum toxicity and tolerance in plants and animals (18 papers), Plant Stress Responses and Tolerance (14 papers) and Silicon Effects in Agriculture (11 papers). Jing Che collaborates with scholars based in China, Japan and United States. Jing Che's co-authors include Jian Feng, Naoki Yamaji, Ren Fang Shen, Ji Feng Shao, Zhongbo Hu, Kengo Yokosho, Jing Xu, Chukwunweike Ikechukwu Okeke, Xue Qiang Zhao and Takaaki Miyaji and has published in prestigious journals such as Nature Communications, PLANT PHYSIOLOGY and Journal of Hazardous Materials.

In The Last Decade

Jing Che

50 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jing Che China	25	1.3k	314	294	179	164	52	2.0k
Mingshun Li China	28	1.5k 1.1×	238 0.8×	658 2.2×	49 0.3×	259 1.6×	165	2.8k
Yan An China	17	741 0.6×	610 1.9×	600 2.0×	99 0.6×	79 0.5×	47	2.3k
Michael Weber Germany	25	1.3k 1.0×	293 0.9×	493 1.7×	32 0.2×	67 0.4×	74	2.3k
Haixing Song China	24	1.2k 0.9×	239 0.8×	470 1.6×	32 0.2×	72 0.4×	87	2.1k
Caifeng Liu China	23	862 0.6×	379 1.2×	140 0.5×	135 0.8×	33 0.2×	45	1.4k
Andrew J. Gates United Kingdom	26	357 0.3×	586 1.9×	695 2.4×	89 0.5×	123 0.8×	61	2.6k
Manuel González‐Guerrero Spain	31	1.8k 1.3×	363 1.2×	586 2.0×	74 0.4×	55 0.3×	62	3.1k
Fangyuan Yu China	19	715 0.5×	196 0.6×	335 1.1×	41 0.2×	79 0.5×	114	1.7k
Muhammad Sharif Pakistan	23	765 0.6×	77 0.2×	168 0.6×	45 0.3×	68 0.4×	123	2.1k

Countries citing papers authored by Jing Che

Since Specialization

Citations

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

Fields of papers citing papers by Jing Che

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Che

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

All Works

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20 of 20 papers shown

Che, Jing, Sheng Huang, Takaaki Miyaji, et al.. (2025). A node-localized efflux transporter for loading iron to developing tissues in rice. Nature Communications. 16(1). 9916–9916.

Chai, Liang, et al.. (2025). Secretory and metabolic engineering of squalene in Yarrowia lipolytica. Bioresource Technology. 421. 132171–132171. 5 indexed citations

Xu, Meiling, Meiling Ren, Yu Yao, et al.. (2024). Biochar decreases cadmium uptake in indica and japonica rice (Oryza sativa L.): Roles of soil properties, iron plaque, cadmium transporter genes and rhizobacteria. Journal of Hazardous Materials. 477. 135402–135402. 8 indexed citations

Che, Jing, et al.. (2024). OsHAK4 functions in retrieving sodium from the phloem at the reproductive stage of rice. The Plant Journal. 120(1). 76–90. 4 indexed citations

Yang, Guangyuan, et al.. (2024). Photocatalytic performance of BaTi5O11 nanocrystals synthesized by sol–gel method for methylene blue degradation. Functional Materials Letters. 18(3).

Chai, Liang, Jing Che, Qingsheng Qi, & Jin Hou. (2024). Metabolic Engineering for Squalene Production: Advances and Perspectives. Journal of Agricultural and Food Chemistry. 72(50). 27715–27725. 9 indexed citations

Yamaji, Naoki, Shuichi Fukuoka, Jing Che, et al.. (2022). Duplication of a manganese/cadmium transporter gene reduces cadmium accumulation in rice grain. Nature Food. 3(8). 597–607. 77 indexed citations

Chen, Yingxian, Qian Zhao, Xinmiao Lan, et al.. (2022). Dual Drug Loaded pH-sensitive Micelles for Efficient Bacterial Infection Treatment. Pharmaceutical Research. 39(6). 1165–1180. 11 indexed citations

Che, Jing, Naoki Yamaji, & Jian Feng. (2021). Role of a vacuolar iron transporter OsVIT2 in the distribution of iron to rice grains. New Phytologist. 230(3). 1049–1062. 56 indexed citations

10.

Che, Jing, et al.. (2021). Biomarkers and Future Perspectives for Hepatocellular Carcinoma Immunotherapy. Frontiers in Oncology. 11. 716844–716844. 27 indexed citations

11.

Che, Jing, Naoki Yamaji, Takaaki Miyaji, et al.. (2020). Node-Localized Transporters of Phosphorus Essential for Seed Development in Rice. Plant and Cell Physiology. 61(8). 1387–1398. 51 indexed citations

12.

Yamaji, Naoki, Akimasa Sasaki, Le Luo, et al.. (2020). A transporter for delivering zinc to the developing tiller bud and panicle in rice. The Plant Journal. 105(3). 786–799. 46 indexed citations

13.

Sun, Hao, Namiki Mitani‐Ueno, Jing Che, et al.. (2019). Tomato roots have a functional silicon influx transporter but not a functional silicon efflux transporter. Plant Cell & Environment. 43(3). 732–744. 82 indexed citations

14.

Cai, Hongmei, Sheng Huang, Jing Che, Naoki Yamaji, & Jian Feng. (2019). The tonoplast-localized transporter OsHMA3 plays an important role in maintaining Zn homeostasis in rice. Journal of Experimental Botany. 70(10). 2717–2725. 84 indexed citations

15.

Che, Jing, Kengo Yokosho, Naoki Yamaji, & Jian Feng. (2019). A Vacuolar Phytosiderophore Transporter Alters Iron and Zinc Accumulation in Polished Rice Grains. PLANT PHYSIOLOGY. 181(1). 276–288. 55 indexed citations

16.

Sun, Sheng‐Kai, Yi Chen, Jing Che, et al.. (2018). Decreasing arsenic accumulation in rice by overexpressing OsNIP1;1 and OsNIP3;3 through disrupting arsenite radial transport in roots. New Phytologist. 219(2). 641–653. 127 indexed citations

17.

Che, Jing, Naoki Yamaji, & Jian Feng. (2018). Efficient and flexible uptake system for mineral elements in plants. New Phytologist. 219(2). 513–517. 50 indexed citations

18.

Chen, Zhichang, Naoki Yamaji, Tomoaki Horie, et al.. (2017). A Magnesium Transporter OsMGT1 Plays a Critical Role in Salt Tolerance in Rice. PLANT PHYSIOLOGY. 174(3). 1837–1849. 84 indexed citations

19.

Che, Jing, Naoki Yamaji, Ji Feng Shao, Jian Feng, & Ren Fang Shen. (2016). Silicon decreases both uptake and root-to-shoot translocation of manganese in rice. Journal of Experimental Botany. 67(5). 1535–1544. 73 indexed citations

20.

Wang, Wei, Xue Qiang Zhao, Zhen Hu, et al.. (2015). Aluminium alleviates manganese toxicity to rice by decreasing root symplastic Mn uptake and reducing availability to shoots of Mn stored in roots. Annals of Botany. 116(2). 237–246. 32 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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