Chao Gu

5.2k total citations · 1 hit paper
98 papers, 2.7k citations indexed

About

Chao Gu is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Chao Gu has authored 98 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Plant Science, 68 papers in Molecular Biology and 13 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Chao Gu's work include Plant Reproductive Biology (38 papers), Plant Molecular Biology Research (37 papers) and Plant Physiology and Cultivation Studies (27 papers). Chao Gu is often cited by papers focused on Plant Reproductive Biology (38 papers), Plant Molecular Biology Research (37 papers) and Plant Physiology and Cultivation Studies (27 papers). Chao Gu collaborates with scholars based in China, United States and New Zealand. Chao Gu's co-authors include Shaoling Zhang, Yuepeng Han, Hui Zhou, Andrew C. Allan, Kaijie Qi, Guoming Wang, Jun Wu, Kui Lin‐Wang, Liao Liao and Zhihua Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Plant Cell.

In The Last Decade

Chao Gu

91 papers receiving 2.7k citations

Hit Papers

Molecular genetics of blood‐fleshed peach reveals activat... 2015 2026 2018 2022 2015 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
Chao Gu China 26 2.0k 1.8k 538 192 114 98 2.7k
Huicong Wang China 31 1.6k 0.8× 1.8k 1.0× 622 1.2× 90 0.5× 141 1.2× 119 3.1k
Irene López‐Vidriero Spain 24 2.4k 1.2× 3.4k 1.9× 65 0.1× 342 1.8× 77 0.7× 30 4.3k
Ji‐Hong Liu China 39 2.4k 1.2× 3.4k 1.9× 227 0.4× 101 0.5× 126 1.1× 123 4.2k
Yuanling Chen China 19 3.2k 1.6× 3.0k 1.7× 97 0.2× 131 0.7× 71 0.6× 52 4.5k
Gaetano Perrotta Italy 23 1.3k 0.6× 1.6k 0.9× 416 0.8× 93 0.5× 113 1.0× 58 2.3k
Lingfei Xu China 27 1.3k 0.7× 1.8k 1.0× 309 0.6× 72 0.4× 59 0.5× 67 2.3k
Barbara Miller United States 13 975 0.5× 308 0.2× 125 0.2× 251 1.3× 46 0.4× 23 1.5k
Jian‐Ping An China 34 3.1k 1.6× 3.1k 1.7× 711 1.3× 132 0.7× 71 0.6× 83 4.2k
Kentaro Mori Japan 20 829 0.4× 1.2k 0.7× 326 0.6× 53 0.3× 27 0.2× 41 1.8k
Zhongshan Gao China 23 746 0.4× 879 0.5× 91 0.2× 141 0.7× 187 1.6× 77 1.6k

Countries citing papers authored by Chao Gu

Since Specialization
Citations

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

Fields of papers citing papers by Chao Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Gu. A scholar is included among the top collaborators of Chao Gu 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 Chao Gu. Chao Gu 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, Kewen, et al.. (2025). Predicting Geothermal Heat Flow in the Bohai Bay Basin Based on Machine Learning Methods. Mathematical Geosciences. 57(5). 925–949.
2.
Guo, Zhihua, Hong Liu, Guoming Wang, et al.. (2024). Interaction among homeodomain transcription factors mediates ethylene biosynthesis during pear fruit ripening. Horticulture Research. 11(5). uhae086–uhae086. 4 indexed citations
4.
Guo, Zhihua, Hong Liu, Siqi Zheng, et al.. (2024). Effects of exogenous GA, IAA, ABA and ethylene on pear (Pyrus pyrifolia) fruit during different development stages. Plant Growth Regulation. 104(1). 549–561. 1 indexed citations
5.
Guo, Zhihua, Hong Liu, Kaijie Qi, et al.. (2024). The transcription factor PbbHLH164 is destabilized by PbRAD23C/D.1 and mediates ethylene biosynthesis during pear fruit ripening. Journal of Advanced Research. 66. 119–131. 6 indexed citations
6.
7.
Gu, Chao, Mao‐Song Pei, Zhihua Guo, et al.. (2024). Multi-omics provide insights into the regulation of DNA methylation in pear fruit metabolism. Genome biology. 25(1). 70–70. 16 indexed citations
8.
Wu, Xiao, Guoping Li, Hao Yin, et al.. (2023). The dynamic changes of mango (Mangifera indica L.) epicuticular wax during fruit development and effect of epicuticular wax on Colletotrichum gloeosporioides invasion. Frontiers in Plant Science. 14. 1264660–1264660. 10 indexed citations
9.
Wang, Peng, Kaijie Qi, Hao Zhang, et al.. (2023). Acetylation of inorganic pyrophosphatase by S-RNase signaling induces pollen tube tip swelling by repressing pectin methylesterase. The Plant Cell. 35(9). 3544–3565. 17 indexed citations
10.
Wu, Lei, Kaijie Qi, Xueting Jiang, et al.. (2023). Self S-RNase reduces the expression of two pollen-specific COBRA genes to inhibit pollen tube growth in pear. SHILAP Revista de lepidopterología. 3(1). 26–26. 3 indexed citations
11.
Qian, Ming, Lin-Lin Xu, Chao Tang, et al.. (2020). PbrPOE21 inhibits pear pollen tube growth in vitro by altering apical reactive oxygen species content. Planta. 252(3). 43–43. 6 indexed citations
12.
Zheng, Ruijuan, et al.. (2018). Characterisation of a novel plasmid containing a florfenicol resistance gene in Haemophilus parasuis. The Veterinary Journal. 234. 24–26. 7 indexed citations
13.
Gu, Chao, Zhihua Guo, Haiyan Cheng, et al.. (2018). A HD-ZIP II HOMEBOX transcription factor, PpHB.G7, mediates ethylene biosynthesis during fruit ripening in peach. Plant Science. 278. 12–19. 43 indexed citations
14.
Gu, Chao, et al.. (2017). Multiple regulatory roles of AP2/ERF transcription factor in angiosperm. Botanical studies. 58(1). 6–6. 146 indexed citations
15.
Zhang, Qichun, et al.. (2016). Antibiotic resistance profile and genetic traits of soil isolated bacteriaand their subsistence on Penicillin or Tetracycline. 5(2). 7–14. 2 indexed citations
16.
Zhou, Hui, Kui Lin‐Wang, Liao Liao, et al.. (2015). Peach MYB7 activates transcription of the proanthocyanidin pathway gene encoding leucoanthocyanidin reductase, but not anthocyanidin reductase. Frontiers in Plant Science. 6. 908–908. 52 indexed citations
17.
Gu, Chao, Qingzhong Liu, Ya‐Nan Yang, et al.. (2013). Inheritance of Hetero-Diploid Pollen S-Haplotype in Self-Compatible Tetraploid Chinese Cherry (Prunus pseudocerasus Lindl). PLoS ONE. 8(4). e61219–e61219. 10 indexed citations
18.
Podust, Vladimir N., Bee-Cheng Sim, Damini Kothari, et al.. (2013). Extension of in vivo half-life of biologically active peptides via chemical conjugation to XTEN protein polymer. Protein Engineering Design and Selection. 26(11). 743–753. 36 indexed citations
19.
Gu, Chao, Jun Wu, Yanan Yang, et al.. (2012). Characterization of the S-RNase genomic DNA allele sequence in Prunus speciosa and P. pseudocerasus. Scientia Horticulturae. 144. 93–101. 4 indexed citations
20.
Wu, Jun, Chao Gu, Muhammad Awais Khan, et al.. (2012). Molecular Determinants and Mechanisms of Gametophytic Self-Incompatibility in Fruit Trees of Rosaceae. Critical Reviews in Plant Sciences. 32(1). 53–68. 40 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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