Gaojie Hong

4.4k total citations · 2 hit papers
52 papers, 3.1k citations indexed

About

Gaojie Hong is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Gaojie Hong has authored 52 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 29 papers in Molecular Biology and 9 papers in Insect Science. Recurrent topics in Gaojie Hong's work include Plant Gene Expression Analysis (18 papers), Plant Molecular Biology Research (14 papers) and Plant Virus Research Studies (12 papers). Gaojie Hong is often cited by papers focused on Plant Gene Expression Analysis (18 papers), Plant Molecular Biology Research (14 papers) and Plant Virus Research Studies (12 papers). Gaojie Hong collaborates with scholars based in China, United Kingdom and Slovakia. Gaojie Hong's co-authors include Xiao‐Ya Chen, Ling-Jian Wang, Ying‐Bo Mao, Jiawei Wang, Yuqing He, Yongping Huang, Wenjuan Cai, Xiaoyuan Tao, Xueyi Xue and Xueying Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Biotechnology.

In The Last Decade

Gaojie Hong

48 papers receiving 3.1k citations

Hit Papers

Silencing a cotton bollworm P450 monooxygenase gene by pl... 2007 2026 2013 2019 2007 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaojie Hong China 25 2.0k 1.9k 915 166 165 52 3.1k
Ying‐Bo Mao China 22 3.1k 1.5× 3.2k 1.7× 1.2k 1.3× 247 1.5× 91 0.6× 39 4.6k
Moisés João Zotti Brazil 20 715 0.4× 1.1k 0.6× 846 0.9× 144 0.9× 162 1.0× 50 1.9k
Yuejin Wang China 38 3.1k 1.5× 2.4k 1.3× 213 0.2× 94 0.6× 175 1.1× 173 4.0k
Ill–Sup Nou South Korea 30 2.2k 1.1× 1.8k 0.9× 83 0.1× 157 0.9× 283 1.7× 164 3.0k
Zhenchang Liang China 33 2.6k 1.3× 2.0k 1.1× 237 0.3× 80 0.5× 483 2.9× 101 3.3k
Mohamed Sbaghi Morocco 18 790 0.4× 465 0.2× 363 0.4× 169 1.0× 196 1.2× 58 1.5k
Tzahi Arazi Israel 32 3.7k 1.8× 2.2k 1.2× 336 0.4× 66 0.4× 44 0.3× 58 4.1k
Fabián E. Vaistij United Kingdom 25 2.3k 1.1× 1.9k 1.0× 228 0.2× 91 0.5× 90 0.5× 30 3.3k
Marie‐France Corio‐Costet France 29 1.9k 0.9× 667 0.4× 312 0.3× 599 3.6× 98 0.6× 70 2.4k
Raquel Sánchez‐Pérez Spain 25 1.6k 0.8× 975 0.5× 150 0.2× 158 1.0× 58 0.4× 61 2.1k

Countries citing papers authored by Gaojie Hong

Since Specialization
Citations

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

Fields of papers citing papers by Gaojie Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaojie Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Gaojie Hong. A scholar is included among the top collaborators of Gaojie Hong 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 Gaojie Hong. Gaojie Hong 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
2.
Chen, Lili, Yuqing He, Xueying Zhang, et al.. (2025). Multiomics Analysis Reveals Key Targeted Metabolic Pathways Underlying the Hormesis and Detrimental Effects of Enrofloxacin on Rice Plants. Journal of Agricultural and Food Chemistry. 73(4). 2678–2695. 2 indexed citations
3.
Li, Linying, Xueying Zhang, Hua Wang, et al.. (2025). OsSTK ‐Mediated Sakuranetin Biosynthesis and Carbon Flux Orchestrate Growth and Defence in Rice. Plant Biotechnology Journal. 24(2). 455–471. 1 indexed citations
5.
Zhou, Zhongjing, Linying Li, Xueying Zhang, et al.. (2024). Biofortified Rice Provides Rich Sakuranetin in Endosperm. Rice. 17(1). 19–19. 6 indexed citations
6.
Tao, Xiaoyuan, Xueying Guan, Gaojie Hong, et al.. (2023). Biotinylated Tn5 transposase‐mediated CUT&Tag efficiently profiles transcription factor‐DNA interactions in plants. Plant Biotechnology Journal. 21(6). 1191–1205. 5 indexed citations
7.
Zhang, Chi, Han Tao, Linying Li, et al.. (2023). Analysis of the Flavonoidome Reveals the Different Health-Promoting Flavonoid Characteristics in Fruit. Antioxidants. 12(9). 1665–1665. 9 indexed citations
9.
He, Yuqing, Lanlan Wang, Linying Li, et al.. (2023). The OsBZR1–OsSPX1/2 module fine-tunes the growth–immunity trade-off in adaptation to phosphate availability in rice. Molecular Plant. 17(2). 258–276. 29 indexed citations
10.
Zhang, Xueying, Linying Li, Da Li, et al.. (2022). Genome-wide characterization of NAC transcription factors in Camellia sinensis and the involvement of CsNAC28 in drought tolerance. Frontiers in Plant Science. 13. 1065261–1065261. 12 indexed citations
11.
Wang, Huihui, Linying Li, Xueying Zhang, et al.. (2022). Involvement of PtPHR1 in phosphates starvation-induced alkaloid biosynthesis in Pinellia ternata (Thunb.) Breit. Frontiers in Plant Science. 13. 914648–914648. 5 indexed citations
12.
Tao, Han, Linying Li, Yuqing He, et al.. (2022). Comparative metabolomics of flavonoids in twenty vegetables reveal their nutritional diversity and potential health benefits. Food Research International. 164. 112384–112384. 31 indexed citations
13.
Wang, Gang, Xian Chen, Linying Li, et al.. (2021). OsPHR2modulates phosphate starvation‐inducedOsMYC2signalling and resistance toXanthomonas oryzaepv.oryzae. Plant Cell & Environment. 44(10). 3432–3444. 36 indexed citations
14.
Zhang, Xueying, Yuqing He, Linying Li, Hongru Liu, & Gaojie Hong. (2021). Involvement of the R2R3-MYB transcription factor MYB21 and its homologs in regulating flavonol accumulation in Arabidopsis stamen. Journal of Experimental Botany. 72(12). 4319–4332. 81 indexed citations
15.
He, Yuqing, Gaojie Hong, Hehong Zhang, et al.. (2020). The OsGSK2 Kinase Integrates Brassinosteroid and Jasmonic Acid Signaling by Interacting with OsJAZ4. The Plant Cell. 32(9). 2806–2822. 101 indexed citations
16.
Xu, Ping, Xueying Zhang, Hui Su, et al.. (2020). Genome-wide analysis of PYL-PP2C-SnRK2s family in Camellia sinensis. Bioengineered. 11(1). 103–115. 27 indexed citations
17.
Li, Linying, Yuqing He, Xueying Zhang, et al.. (2020). Alterations of Rice (Oryza sativa L.) DNA Methylation Patterns Associated with Gene Expression in Response to Rice Black Streaked Dwarf Virus. International Journal of Molecular Sciences. 21(16). 5753–5753. 8 indexed citations
18.
Zhang, Hehong, Xiaoxiang Tan, Lulu Li, et al.. (2019). Suppression of auxin signalling promotes rice susceptibility to Rice black streaked dwarf virus infection. Molecular Plant Pathology. 20(8). 1093–1104. 67 indexed citations
19.
Xu, Yu, Linying Li, Yan Zhang, et al.. (2017). Ribotypes of Polymyxa graminis in Wheat Samples Infected with Soilborne Wheat Viruses in China. Plant Disease. 102(5). 948–954. 16 indexed citations
20.
He, Yuqing, Hehong Zhang, Zongtao Sun, et al.. (2016). Jasmonic acid‐mediated defense suppresses brassinosteroid‐mediated susceptibility to Rice black streaked dwarf virus infection in rice. New Phytologist. 214(1). 388–399. 135 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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