Jiang Hu

8.3k total citations · 3 hit papers
160 papers, 5.4k citations indexed

About

Jiang Hu is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Jiang Hu has authored 160 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Plant Science, 77 papers in Molecular Biology and 55 papers in Genetics. Recurrent topics in Jiang Hu's work include Genetic Mapping and Diversity in Plants and Animals (51 papers), Plant Molecular Biology Research (39 papers) and Rice Cultivation and Yield Improvement (38 papers). Jiang Hu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (51 papers), Plant Molecular Biology Research (39 papers) and Rice Cultivation and Yield Improvement (38 papers). Jiang Hu collaborates with scholars based in China, United States and Japan. Jiang Hu's co-authors include Qian Qian, Longbiao Guo, Dali Zeng, Li Zhu, Guangheng Zhang, Zhenyu Gao, Guojun Dong, Deyong Ren, Yunxia Fang and Yuchun Rao and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Jiang Hu

157 papers receiving 5.3k citations

Hit Papers

Copy number variation at the GL7 locus contributes to gra... 2015 2026 2018 2022 2015 2015 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiang Hu China 38 4.3k 1.9k 1.8k 444 156 160 5.4k
Longbiao Guo China 43 6.1k 1.4× 2.4k 1.3× 2.6k 1.4× 226 0.5× 243 1.6× 191 7.3k
Xiaohong Yang China 41 5.1k 1.2× 2.0k 1.0× 3.1k 1.7× 331 0.7× 105 0.7× 148 6.9k
Rentao Song China 33 3.0k 0.7× 2.3k 1.2× 773 0.4× 250 0.6× 145 0.9× 103 4.1k
Qingyao Shu China 43 4.2k 1.0× 2.3k 1.2× 1.0k 0.5× 137 0.3× 441 2.8× 196 5.5k
Jin‐Gui Chen United States 54 7.2k 1.7× 5.8k 3.0× 502 0.3× 415 0.9× 86 0.6× 149 8.8k
Jisen Shi China 32 2.3k 0.5× 1.8k 1.0× 398 0.2× 387 0.9× 111 0.7× 207 3.6k
Seyed Abolghasem Mohammadi Iran 29 2.6k 0.6× 914 0.5× 804 0.4× 105 0.2× 128 0.8× 204 3.7k
Hiroaki Shimada Japan 38 3.4k 0.8× 3.5k 1.8× 540 0.3× 195 0.4× 246 1.6× 139 5.5k
Ian Bancroft United Kingdom 43 4.4k 1.0× 3.9k 2.0× 932 0.5× 260 0.6× 90 0.6× 112 5.8k
Christian Jung Germany 42 4.4k 1.0× 2.5k 1.3× 944 0.5× 153 0.3× 84 0.5× 144 5.4k

Countries citing papers authored by Jiang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiang Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Hu. A scholar is included among the top collaborators of Jiang Hu 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 Jiang Hu. Jiang Hu 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, Yi, Xirui Chen, Jiang Hu, et al.. (2024). Aggregation-induced emission nanoparticles facilitating multicolor lateral flow immunoassay for rapid and simultaneous detection of aflatoxin B1 and zearalenone. Food Chemistry. 447. 138997–138997. 30 indexed citations
2.
Wang, Jiqing, Na Ke, Jiang Hu, et al.. (2024). MicroRNA-148a Targets DNMT1 and PPARGC1A to Regulate the Viability, Proliferation, and Milk Fat Synthesis of Ovine Mammary Epithelial Cells. International Journal of Molecular Sciences. 25(16). 8558–8558. 1 indexed citations
3.
Wu, Hao, Bing He, Longjun Zeng, et al.. (2023). Gibberellin signaling regulates lignin biosynthesis to modulate rice seed shattering. The Plant Cell. 35(12). 4383–4404. 12 indexed citations
4.
Liu, He, Yuanjiang Cui, Haiping Yu, et al.. (2021). UDP‐N‐acetylglucosamine pyrophosphorylase enhances rice survival at high temperature. New Phytologist. 233(1). 344–359. 30 indexed citations
5.
Wang, Qing, Jinqiang Nian, Jian Zhang, et al.. (2021). The Ghd7 transcription factor represses ARE1 expression to enhance nitrogen utilization and grain yield in rice. Molecular Plant. 14(6). 1012–1023. 57 indexed citations
6.
Hu, Peng, Yi Wen, Yueying Wang, et al.. (2021). Identification and Characterization of Short Crown Root 8, a Temperature-Sensitive Mutant Associated with Crown Root Development in Rice. International Journal of Molecular Sciences. 22(18). 9868–9868. 4 indexed citations
7.
Zhang, Guangheng, Xin Hou, Jing Xu, et al.. (2020). PHOTO‐SENSITIVE LEAF ROLLING 1 encodes a polygalacturonase that modifies cell wall structure and drought tolerance in rice. New Phytologist. 229(2). 890–901. 50 indexed citations
8.
Ruan, Banpu, Lianguang Shang, Bin Zhang, et al.. (2020). Natural variation in the promoter of TGW2 determines grain width and weight in rice. New Phytologist. 227(2). 629–640. 110 indexed citations
10.
Hu, Xingming, Yongtao Cui, Guojun Dong, et al.. (2019). Using CRISPR-Cas9 to generate semi-dwarf rice lines in elite landraces. Scientific Reports. 9(1). 19096–19096. 53 indexed citations
11.
Gao, Zhenyu, Yufeng Wang, Guang Chen, et al.. (2019). The indica nitrate reductase gene OsNR2 allele enhances rice yield potential and nitrogen use efficiency. Nature Communications. 10(1). 5207–5207. 202 indexed citations
12.
Wang, Qing, Jinqiang Nian, Xianzhi Xie, et al.. (2018). Genetic variations in ARE1 mediate grain yield by modulating nitrogen utilization in rice. Nature Communications. 9(1). 735–735. 107 indexed citations
13.
Zhang, Xiaoqin, Hua Jiang, Hua Wang, et al.. (2017). Transcriptome Analysis of Rice Seedling Roots in Response to Potassium Deficiency. Scientific Reports. 7(1). 5523–5523. 38 indexed citations
14.
Pei, Ke, et al.. (2017). Colorimetric ELISA with an acid–base indicator for sensitive detection of ochratoxin A in corn samples. Analytical Methods. 10(1). 30–36. 17 indexed citations
16.
Wang, Jiqing, et al.. (2013). Correlation analysis of polymorphisms of Pit-1 gene with production traits in goat.. Journal of the South China Agricultural University. 34(2). 230–234. 1 indexed citations
17.
Hu, Shikai, Su Yan, Zhenyuan Shi, et al.. (2012). QTL analysis of nitrogen content of plant shoot under two nitrogen conditions in rice (Oryza sativa L.). Australian Journal of Crop Science. 6(12). 1737–1744. 8 indexed citations
18.
Hu, Jiang, Guangheng Zhang, Guojun Dong, et al.. (2009). Genetic analysis and gene mapping of a new mutant of dwarf and disproportionate uppermost-internode1 (ddu1) in rice.. Zhongguo shuidao kexue. 23(3). 252–256. 2 indexed citations
19.
Hu, Jiang, et al.. (2005). Preparation of Aflatoxin B_1 Artificial Antigen by EDC Method. Food Science. 26(7). 125. 2 indexed citations
20.
SOGAWA, Kazushige, et al.. (2005). Resistance Performance to Whitebacked Planthopper in Different Phenotypes of Japonica / Indica Doubled Haploid Rice Lines. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026