Chaoyou Pang

2.8k total citations
89 papers, 2.1k citations indexed

About

Chaoyou Pang is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Chaoyou Pang has authored 89 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Plant Science, 37 papers in Molecular Biology and 7 papers in Endocrinology. Recurrent topics in Chaoyou Pang's work include Research in Cotton Cultivation (68 papers), Plant Molecular Biology Research (37 papers) and Plant Reproductive Biology (17 papers). Chaoyou Pang is often cited by papers focused on Research in Cotton Cultivation (68 papers), Plant Molecular Biology Research (37 papers) and Plant Reproductive Biology (17 papers). Chaoyou Pang collaborates with scholars based in China, United States and Pakistan. Chaoyou Pang's co-authors include Shuxun Yu, Meizhen Song, Hengling Wei, Shuli Fan, Hantao Wang, Lingling Dou, Siping Zhang, Shaodong Liu, Changwei Ge and Jing Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and New Phytologist.

In The Last Decade

Chaoyou Pang

85 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoyou Pang China 29 1.8k 973 131 115 113 89 2.1k
Mark F. Belmonte Canada 26 2.8k 1.6× 1.7k 1.8× 119 0.9× 56 0.5× 121 1.1× 69 3.2k
Richard Berthomé France 22 1.9k 1.0× 1.0k 1.0× 58 0.4× 55 0.5× 77 0.7× 36 2.4k
Zhongli Zhou China 28 1.6k 0.9× 726 0.7× 120 0.9× 47 0.4× 95 0.8× 80 1.8k
Yuanda Lv China 24 1.5k 0.8× 792 0.8× 141 1.1× 98 0.9× 260 2.3× 67 1.9k
Siwaret Arikit Thailand 23 1.9k 1.1× 953 1.0× 56 0.4× 38 0.3× 212 1.9× 76 2.2k
Venkategowda Ramegowda India 15 1.5k 0.9× 513 0.5× 31 0.2× 90 0.8× 134 1.2× 32 1.7k
Aiyu Wang China 20 601 0.3× 538 0.6× 32 0.2× 58 0.5× 200 1.8× 56 1.2k
Shirley Sato United States 25 1.6k 0.9× 1.4k 1.5× 86 0.7× 132 1.1× 114 1.0× 46 2.1k
Everaldo Gonçalves de Barros Brazil 26 1.8k 1.0× 372 0.4× 55 0.4× 186 1.6× 127 1.1× 145 2.1k

Countries citing papers authored by Chaoyou Pang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoyou Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoyou Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoyou Pang. A scholar is included among the top collaborators of Chaoyou Pang 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 Chaoyou Pang. Chaoyou Pang 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, Jinglin, Shaodong Liu, Ruihua Liu, et al.. (2025). Drought resistance cotton genotypes evaluation with multi-year & multi-site study. Agricultural Water Management. 316. 109523–109523.
2.
Pang, Chaoyou, et al.. (2025). Low Phosphorus Stress Decreases Cotton Fiber Strength by Inhibiting Carbohydrate Metabolism. Journal of Plant Growth Regulation. 44(7). 3865–3883.
3.
Ma, Huijuan, Changwei Ge, Ruihua Liu, et al.. (2024). Effects of Different Irrigation Water Volumes with 1,1-Dimethyl-piperidinium Chloride (DPC) on Cotton Growth and Yield. Agronomy. 14(8). 1656–1656. 2 indexed citations
4.
Li, Pengzhen, Yuqing Zhou, Ruihua Liu, et al.. (2023). Freezing transcriptome analysis showed that GhZAT10 regulates freezing tolerance through a partially CBF-dependent pathway in upland cotton (Gossypium hirsutum L.). Environmental and Experimental Botany. 208. 105263–105263. 6 indexed citations
5.
Liu, Shaodong, Changwei Ge, Qian Shen, et al.. (2022). Genome-wide association study reveals that GhTRL1 and GhPIN8 affect cotton root development. Theoretical and Applied Genetics. 135(9). 3161–3176. 3 indexed citations
6.
Dou, Lingling, Limin Lv, Yangyang Kang, et al.. (2021). Genome-wide identification and expression analysis of the GhIQD gene family in upland cotton (Gossypium hirsutum L.). Journal of Cotton Research. 4(1). 2 indexed citations
7.
Liu, Shaodong, Siping Zhang, Huijuan Ma, et al.. (2019). Transcriptome analysis and identification of genes associated with fruiting branch internode elongation in upland cotton. BMC Plant Biology. 19(1). 415–415. 14 indexed citations
8.
Wei, Hengling, Hantao Wang, Junji Su, et al.. (2018). Functional analysis of nine cotton genes related to leaf senescence in Gossypium hirsutum L. Physiology and Molecular Biology of Plants. 24(5). 729–739. 4 indexed citations
9.
Zhao, Shuqi, Chaoyou Pang, Hengling Wei, et al.. (2017). Genetic Inheritance of Earliness Traits in Upland Cotton ( Gossypium hirsutum L.) Inferred by Joint Analysis of Multiple Generations. Mianhua xuebao. 29(2). 119–127. 3 indexed citations
10.
Zhang, Meng, Liu Ji, Hengling Wei, et al.. (2017). Genetic Analysis and Preliminary Mapping of the Photoperiod-Sensitive Male Sterility Gene ys-1 in Upland Cotton. Mianhua xuebao. 29(1). 9–16. 1 indexed citations
11.
Dong, Helin, Cangsong Zheng, Aizhong Liu, et al.. (2017). Optimizing nitrogen application rate and plant density for improving cotton yield and nitrogen use efficiency in the North China Plain. PLoS ONE. 12(10). e0185550–e0185550. 33 indexed citations
12.
Zhang, Yuzhou, Peng He, Zuoren Yang, et al.. (2017). A Genome-Scale Analysis of the PIN Gene Family Reveals Its Functions in Cotton Fiber Development. Frontiers in Plant Science. 8. 461–461. 45 indexed citations
13.
Zhang, Xiaohong, Shuli Fan, Meizhen Song, et al.. (2015). Functional characterization of GhSOC1 and GhMADS42 homologs from upland cotton ( Gossypium hirsutum L.). Plant Science. 242. 178–186. 30 indexed citations
14.
Zhao, Fengli, Jianhui Ma, Libei Li, et al.. (2015). GhNAC12, a neutral candidate gene, leads to early aging in cotton (Gossypium hirsutum L). Gene. 576(1). 268–274. 31 indexed citations
15.
Dou, Lingling, Xiaohong Zhang, Chaoyou Pang, et al.. (2014). Genome-wide analysis of the WRKY gene family in cotton. Molecular Genetics and Genomics. 289(6). 1103–1121. 113 indexed citations
16.
Li, Jie, Shuli Fan, Meizhen Song, et al.. (2013). Cloning and characterization of a FLO/LFY ortholog in Gossypium hirsutum L.. Plant Cell Reports. 32(11). 1675–1686. 33 indexed citations
17.
Pang, Chaoyou, Hui Wang, Yu Pang, et al.. (2010). Comparative Proteomics Indicates That Biosynthesis of Pectic Precursors Is Important for Cotton Fiber and Arabidopsis Root Hair Elongation. Molecular & Cellular Proteomics. 9(9). 2019–2033. 155 indexed citations
18.
Yang, Chunyan, et al.. (2010). Study on the inter-subspecies nuclear transfer of river buffalo somatic cell nuclei into swamp buffalo oocyte cytoplasm. Animal Reproduction Science. 121(1-2). 78–83. 15 indexed citations
19.
Liang, Xianwei, et al.. (2008). In vitro embryo production in buffalo (Bubalus bubalis) using sexed sperm and oocytes from ovum pick up. Theriogenology. 69(7). 822–826. 33 indexed citations
20.
Pang, Chaoyou, Xiongming Du, & Zhiying Ma. (2006). Cluster Analysis of the Introgressed Lines from Interspecific Hybridization in Cotton based on SSR Markers and Phenotype Traits. Zuo wu xue bao. 32(9). 1371–1378.

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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