Hongqing Guo

5.3k total citations · 1 hit paper
21 papers, 2.1k citations indexed

About

Hongqing Guo is a scholar working on Plant Science, Molecular Biology and Epidemiology. According to data from OpenAlex, Hongqing Guo has authored 21 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 17 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Hongqing Guo's work include Plant Molecular Biology Research (16 papers), Plant Reproductive Biology (10 papers) and Photosynthetic Processes and Mechanisms (6 papers). Hongqing Guo is often cited by papers focused on Plant Molecular Biology Research (16 papers), Plant Reproductive Biology (10 papers) and Photosynthetic Processes and Mechanisms (6 papers). Hongqing Guo collaborates with scholars based in United States and China. Hongqing Guo's co-authors include Yanhai Yin, Huaxun Ye, Lei Li, Xiaofei Yu, Maneesha Aluru, Srinivas Aluru, Trevor M. Nolan, Lei Li, Peng Liu and Steve Rodermel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Hongqing Guo

21 papers receiving 2.0k citations

Hit Papers

A brassinosteroid transcriptional network revealed by gen... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongqing Guo United States 15 1.9k 1.3k 61 43 36 21 2.1k
Abdelaty Saleh United States 12 1.8k 1.0× 1.1k 0.8× 37 0.6× 41 1.0× 72 2.0× 13 2.0k
Joachim Forner Germany 23 1.3k 0.7× 1.6k 1.2× 70 1.1× 16 0.4× 39 1.1× 30 1.9k
Addie N. Olsen Denmark 7 1.7k 0.9× 1.5k 1.2× 50 0.8× 15 0.3× 39 1.1× 10 2.0k
Jennifer M. Gagne United States 8 1.3k 0.7× 972 0.7× 30 0.5× 36 0.8× 42 1.2× 10 1.5k
Zhouli Xie China 13 1.3k 0.7× 782 0.6× 47 0.8× 13 0.3× 29 0.8× 24 1.4k
Xing Wang Deng China 17 1.7k 0.9× 1.4k 1.1× 39 0.6× 31 0.7× 28 0.8× 18 1.9k
Huaxun Ye United States 14 2.1k 1.1× 1.4k 1.1× 82 1.3× 20 0.5× 14 0.4× 17 2.2k
Isabelle Vanhoutte Belgium 16 1.4k 0.7× 1.0k 0.8× 34 0.6× 18 0.4× 110 3.1× 18 1.6k
Martin Stegmann Germany 12 1.1k 0.6× 692 0.5× 25 0.4× 29 0.7× 74 2.1× 20 1.3k
Alois Schweighofer Austria 14 1.8k 0.9× 1.2k 0.9× 31 0.5× 19 0.4× 131 3.6× 19 2.0k

Countries citing papers authored by Hongqing Guo

Since Specialization
Citations

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

Fields of papers citing papers by Hongqing Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongqing Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Hongqing Guo. A scholar is included among the top collaborators of Hongqing Guo 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 Hongqing Guo. Hongqing Guo 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.
Wang, Hao, Yumou Qiu, Hongqing Guo, Yanhai Yin, & Peng Liu. (2024). Information-incorporated gene network construction with FDR control. Bioinformatics. 40(3). 1 indexed citations
2.
Guo, Hongqing, et al.. (2024). AP2/ERF transcription factors and their functions in Arabidopsis responses to abiotic stresses. Environmental and Experimental Botany. 222. 105763–105763. 32 indexed citations
3.
Guo, Hongqing & Yanhai Yin. (2023). Redesigning green revolution trait with increased grain yield and nitrogen utilization efficiency by reducing brassinosteroid signaling in semidwarf wheat. Science China Life Sciences. 66(10). 2448–2450. 2 indexed citations
4.
Wang, Ping, Natalie M. Clark, Trevor M. Nolan, et al.. (2022). Integrated omics reveal novel functions and underlying mechanisms of the receptor kinase FERONIA inArabidopsis thaliana. The Plant Cell. 34(7). 2594–2614. 37 indexed citations
5.
Montes, Christian, Ping Wang, Trevor M. Nolan, et al.. (2022). Integration of multi‐omics data reveals interplay between brassinosteroid and Target of Rapamycin Complex signaling in Arabidopsis. New Phytologist. 236(3). 893–910. 27 indexed citations
6.
Wang, Ping, Natalie M. Clark, Trevor M. Nolan, et al.. (2022). FERONIA functions through Target of Rapamycin (TOR) to negatively regulate autophagy. Frontiers in Plant Science. 13. 961096–961096. 6 indexed citations
7.
Pu, Yunting, Trevor M. Nolan, Christian Montes, et al.. (2022). Brassinosteroids modulate autophagy through phosphorylation of RAPTOR1B by the GSK3-like kinase BIN2 in Arabidopsis. Autophagy. 19(4). 1293–1310. 21 indexed citations
8.
Clark, Natalie M., Trevor M. Nolan, Ping Wang, et al.. (2021). Integrated omics networks reveal the temporal signaling events of brassinosteroid response in Arabidopsis. Nature Communications. 12(1). 5858–5858. 56 indexed citations
9.
Wang, Ping, Trevor M. Nolan, Natalie M. Clark, et al.. (2021). The F-box E3 ubiquitin ligase BAF1 mediates the degradation of the brassinosteroid-activated transcription factor BES1 through selective autophagy in Arabidopsis. The Plant Cell. 33(11). 3532–3554. 40 indexed citations
10.
Guo, Hongqing, Trevor M. Nolan, Gaoyuan Song, et al.. (2018). FERONIA Receptor Kinase Contributes to Plant Immunity by Suppressing Jasmonic Acid Signaling in Arabidopsis thaliana. Current Biology. 28(20). 3316–3324.e6. 180 indexed citations
11.
Guo, Hongqing, et al.. (2018). FERONIA mutation induces high levels of chloroplast‐localized Arabidopsides which are involved in root growth. The Plant Journal. 97(2). 341–351. 12 indexed citations
12.
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
13.
Nolan, Trevor M., Sanzhen Liu, Hongqing Guo, et al.. (2017). Identification of Brassinosteroid Target Genes by Chromatin Immunoprecipitation Followed by High-Throughput Sequencing (ChIP-seq) and RNA-Sequencing. Methods in molecular biology. 1564. 63–79. 11 indexed citations
14.
Wang, Xiaolei, Jiani Chen, Zhouli Xie, et al.. (2014). Histone Lysine Methyltransferase SDG8 Is Involved in Brassinosteroid-Regulated Gene Expression in Arabidopsis thaliana. Molecular Plant. 7(8). 1303–1315. 55 indexed citations
15.
Guo, Hongqing, et al.. (2013). Mechanisms and networks for brassinosteroid regulated gene expression. Current Opinion in Plant Biology. 16(5). 545–553. 135 indexed citations
16.
Ye, Huaxun, Lei Li, Hongqing Guo, & Yanhai Yin. (2012). MYBL2 is a substrate of GSK3-like kinase BIN2 and acts as a corepressor of BES1 in brassinosteroid signaling pathway in Arabidopsis. Proceedings of the National Academy of Sciences. 109(49). 20142–20147. 105 indexed citations
17.
Yu, Xiaofei, Lei Li, Jarosław Żola, et al.. (2010). A brassinosteroid transcriptional network revealed by genome‐wide identification of BESI target genes in Arabidopsis thaliana. The Plant Journal. 65(4). 634–646. 547 indexed citations breakdown →
18.
Li, Lei, Huaxun Ye, Hongqing Guo, & Yanhai Yin. (2010). ArabidopsisIWS1 interacts with transcription factor BES1 and is involved in plant steroid hormone brassinosteroid regulated gene expression. Proceedings of the National Academy of Sciences. 107(8). 3918–3923. 113 indexed citations
19.
Guo, Hongqing, et al.. (2009). Three related receptor-like kinases are required for optimal cell elongation in Arabidopsis thaliana. Proceedings of the National Academy of Sciences. 106(18). 7648–7653. 289 indexed citations
20.
Srivastava, Renu, Jian‐Xiang Liu, Hongqing Guo, Yanhai Yin, & Stephen H. Howell. (2009). Regulation and processing of a plant peptide hormone, AtRALF23, in Arabidopsis. The Plant Journal. 59(6). 930–939. 175 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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