Hongning Tong

5.6k total citations · 4 hit papers
42 papers, 4.1k citations indexed

About

Hongning Tong is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Hongning Tong has authored 42 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 20 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Hongning Tong's work include Plant Molecular Biology Research (33 papers), Plant nutrient uptake and metabolism (13 papers) and Polysaccharides and Plant Cell Walls (11 papers). Hongning Tong is often cited by papers focused on Plant Molecular Biology Research (33 papers), Plant nutrient uptake and metabolism (13 papers) and Polysaccharides and Plant Cell Walls (11 papers). Hongning Tong collaborates with scholars based in China, United States and Germany. Hongning Tong's co-authors include Chengcai Chu, Yanhai Yin, Yunhua Xiao, Linchuan Liu, Dapu Liu, Qian Qian, Yun Jin, Bin Hu, Li Zhu and Jun Fang and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Hongning Tong

41 papers receiving 4.1k citations

Hit Papers

Control of grain size and... 2015 2026 2018 2022 2015 2017 2021 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongning Tong China 29 3.9k 1.7k 1.0k 149 78 42 4.1k
Jinjie Li China 30 2.7k 0.7× 1.0k 0.6× 1.1k 1.1× 129 0.9× 54 0.7× 73 3.0k
Zheping Yu China 17 2.8k 0.7× 967 0.6× 1.2k 1.1× 104 0.7× 77 1.0× 41 3.0k
Chuanyin Wu China 26 2.4k 0.6× 1.4k 0.8× 550 0.5× 93 0.6× 70 0.9× 42 2.8k
Mingsheng Chen China 24 2.7k 0.7× 1.3k 0.8× 590 0.6× 101 0.7× 96 1.2× 48 3.0k
Catherine Feuillet France 38 4.4k 1.1× 1.4k 0.8× 1.1k 1.0× 215 1.4× 162 2.1× 76 4.7k
Satoshi Natsume Japan 17 2.6k 0.7× 1.2k 0.7× 1.0k 1.0× 46 0.3× 63 0.8× 27 3.1k
Muluneh Tamiru Japan 16 2.6k 0.7× 1.2k 0.7× 994 1.0× 45 0.3× 61 0.8× 24 3.0k
Laura Rossini Italy 28 2.2k 0.6× 1.3k 0.8× 382 0.4× 118 0.8× 162 2.1× 71 2.6k
Dominique Brunel France 26 2.0k 0.5× 991 0.6× 1.0k 1.0× 94 0.6× 115 1.5× 39 2.4k
Rongxin Shen China 18 2.0k 0.5× 1.8k 1.0× 414 0.4× 64 0.4× 75 1.0× 26 2.7k

Countries citing papers authored by Hongning Tong

Since Specialization
Citations

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

Fields of papers citing papers by Hongning Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongning Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Hongning Tong. A scholar is included among the top collaborators of Hongning Tong 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 Hongning Tong. Hongning Tong 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.
Li, Xia, Lin Cheng, Hongning Tong, et al.. (2025). The next Green Revolution: integrating crop architectype and physiotype. Trends in biotechnology. 43(10). 2479–2493. 4 indexed citations
3.
Meng, Wenjing, Wenchao Yin, Mei Niu, et al.. (2024). Vital contribution of brassinosteroids to hypoxia-stimulated coleoptile elongation in submerged rice. The Crop Journal. 12(5). 1379–1390. 3 indexed citations
4.
Tong, Hongning & Chengcai Chu. (2023). Coordinating gibberellin and brassinosteroid signaling beyond Green Revolution. Journal of genetics and genomics. 50(7). 459–461. 5 indexed citations
5.
Liu, Dapu, Xiaoxing Zhang, Qingliang Li, et al.. (2022). The U-box ubiquitin ligase TUD1 promotes brassinosteroid-induced GSK2 degradation in rice. Plant Communications. 4(2). 100450–100450. 28 indexed citations
6.
Liu, Dapu, Wenchao Yin, Lulu Li, et al.. (2021). Diversification of plant agronomic traits by genome editing of brassinosteroid signaling family genes in rice. PLANT PHYSIOLOGY. 187(4). 2563–2576. 52 indexed citations
7.
Che, Ronghui, Bin Hu, Wei Wang, et al.. (2021). POLLEN STERILITY, a novel suppressor of cell division, is required for timely tapetal programmed cell death in rice. Science China Life Sciences. 65(6). 1235–1247. 5 indexed citations
8.
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
9.
Yin, Wenchao, Yunhua Xiao, Mei Niu, et al.. (2020). ARGONAUTE2 Enhances Grain Length and Salt Tolerance by Activating BIG GRAIN3 to Modulate Cytokinin Distribution in Rice. The Plant Cell. 32(7). 2292–2306. 114 indexed citations
10.
Li, Qianfeng, Jun Lü, Yu Zhou, et al.. (2019). Abscisic Acid Represses Rice Lamina Joint Inclination by Antagonizing Brassinosteroid Biosynthesis and Signaling. International Journal of Molecular Sciences. 20(19). 4908–4908. 24 indexed citations
11.
Li, Lulu, et al.. (2019). Functional Analysis of Brassinosteroids in Salt Stress Responses in Rice. Chinese Bulletin of Botany. 54(2). 185. 2 indexed citations
12.
Xiao, Yunhua, Dapu Liu, Guoxia Zhang, et al.. (2018). Big Grain3, encoding a purine permease, regulates grain size via modulating cytokinin transport in rice. Journal of Integrative Plant Biology. 61(5). 581–597. 94 indexed citations
13.
Ye, Huaxun, Sanzhen Liu, Buyun Tang, et al.. (2017). RD26 mediates crosstalk between drought and brassinosteroid signalling pathways. Nature Communications. 8(1). 14573–14573. 214 indexed citations
14.
Xiao, Yunhua, Dapu Liu, Guoxia Zhang, Hongning Tong, & Chengcai Chu. (2017). Brassinosteroids Regulate OFP1, a DLT Interacting Protein, to Modulate Plant Architecture and Grain Morphology in Rice. Frontiers in Plant Science. 8. 1698–1698. 86 indexed citations
15.
Liu, Linchuan, Hongning Tong, Yunhua Xiao, et al.. (2015). Activation of Big Grain1 significantly improves grain size by regulating auxin transport in rice. Proceedings of the National Academy of Sciences. 112(35). 11102–11107. 263 indexed citations
16.
Tong, Hongning, Yunhua Xiao, Dapu Liu, et al.. (2014). Brassinosteroid Regulates Cell Elongation by Modulating Gibberellin Metabolism in Rice    . The Plant Cell. 26(11). 4376–4393. 330 indexed citations
17.
Tong, Hongning, Linchuan Liu, Yun Jin, et al.. (2012). DWARF AND LOW-TILLERING Acts as a Direct Downstream Target of a GSK3/SHAGGY-Like Kinase to Mediate Brassinosteroid Responses in Rice. The Plant Cell. 24(6). 2562–2577. 319 indexed citations
18.
Tong, Hongning & Chengcai Chu. (2011). Brassinosteroid Signaling and Application in Rice. Journal of genetics and genomics. 39(1). 3–9. 57 indexed citations
19.
Jin, Yun, Qiong Luo, Hongning Tong, et al.. (2011). An AT-hook gene is required for palea formation and floral organ number control in rice. Developmental Biology. 359(2). 277–288. 87 indexed citations
20.
Tong, Hongning, Yun Jin, Wenbo Liu, et al.. (2009). DWARF AND LOW‐TILLERING, a new member of the GRAS family, plays positive roles in brassinosteroid signaling in rice. The Plant Journal. 58(5). 803–816. 310 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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