Zhongxu Lin

5.7k total citations
114 papers, 2.8k citations indexed

About

Zhongxu Lin is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Zhongxu Lin has authored 114 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Plant Science, 40 papers in Endocrinology and 20 papers in Molecular Biology. Recurrent topics in Zhongxu Lin's work include Research in Cotton Cultivation (106 papers), Plant Virus Research Studies (53 papers) and Plant and Fungal Interactions Research (40 papers). Zhongxu Lin is often cited by papers focused on Research in Cotton Cultivation (106 papers), Plant Virus Research Studies (53 papers) and Plant and Fungal Interactions Research (40 papers). Zhongxu Lin collaborates with scholars based in China, United States and Australia. Zhongxu Lin's co-authors include Xianlong Zhang, Chao Shen, Yichun Nie, Jinfa Zhang, Ximei Li, Joseph Said, Mingzhou Song, Cong Huang, Hantao Wang and Xinhui Nie and has published in prestigious journals such as PLoS ONE, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Zhongxu Lin

109 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongxu Lin China 29 2.6k 670 512 316 99 114 2.8k
John Z. Yu United States 29 2.4k 0.9× 709 1.1× 390 0.8× 155 0.5× 53 0.5× 59 2.5k
Kunbo Wang China 31 2.1k 0.8× 183 0.3× 973 1.9× 168 0.5× 53 0.5× 114 2.4k
Daojun Yuan China 25 2.2k 0.8× 272 0.4× 1.3k 2.6× 122 0.4× 33 0.3× 46 2.5k
Junkang Rong China 19 2.1k 0.8× 190 0.3× 1.2k 2.4× 334 1.1× 49 0.5× 64 2.4k
Yuanda Lv China 24 1.5k 0.6× 141 0.2× 792 1.5× 260 0.8× 98 1.0× 67 1.9k
Hengling Wei China 31 2.1k 0.8× 187 0.3× 1.3k 2.5× 100 0.3× 58 0.6× 117 2.5k
Dayong Li China 26 2.1k 0.8× 134 0.2× 1.3k 2.5× 179 0.6× 86 0.9× 60 2.4k
Jinping Hua China 29 2.3k 0.9× 141 0.2× 735 1.4× 1.2k 3.9× 110 1.1× 74 2.7k
Chaoyou Pang China 29 1.8k 0.7× 131 0.2× 973 1.9× 113 0.4× 115 1.2× 89 2.1k
Samuel F. Hutton United States 24 1.7k 0.7× 106 0.2× 517 1.0× 149 0.5× 40 0.4× 59 1.8k

Countries citing papers authored by Zhongxu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Zhongxu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongxu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongxu Lin. A scholar is included among the top collaborators of Zhongxu Lin 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 Zhongxu Lin. Zhongxu Lin 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.
Yu, Le, Meiling Chen, De Zhu, et al.. (2025). Transcriptional Regulation of SWEET15_A01 by MYB44 / bHLH3 Modulates Carbon Allocation in Cotton Ovule and Fibre to Affect Seed and Fibre Traits. Plant Biotechnology Journal. 24(3). 1769–1791.
2.
Wang, Nian, Qingying Meng, Zhiyong Xu, et al.. (2025). Gossypium latifolium genome reveals the genetic basis of domestication of upland cotton from semi-wild races to cultivars. The Crop Journal. 13(3). 929–941. 2 indexed citations
3.
Yao, Tian, Chao Fu, Zhiyong Xu, et al.. (2024). TRANSPARENT TESTA 16 collaborates with the MYB-bHLH-WD40 transcriptional complex to produce brown fiber cotton. PLANT PHYSIOLOGY. 196(4). 2669–2684. 1 indexed citations
4.
Zhao, Guannan, Mengling Sun, Yuan Qin, et al.. (2024). A dominant negative mutation of GhMYB25-like alters cotton fiber initiation, reducing lint and fuzz. The Plant Cell. 36(8). 2759–2777. 4 indexed citations
5.
Qanmber, Ghulam, Yuling Guo, Shuya Ma, et al.. (2024). An AP2/ERF transcription factor GhERF109 negatively regulates plant growth and development in cotton. Plant Science. 352. 112365–112365. 2 indexed citations
6.
Chen, Baojun, Xiaoyang Wang, Xiao Wang, et al.. (2023). Genome-wide analysis of the serine carboxypeptidase-like protein family reveals Ga09G1039 is involved in fiber elongation in cotton. Plant Physiology and Biochemistry. 201. 107759–107759. 5 indexed citations
7.
Zhang, Beibei, Tian Yao, Chao Shen, et al.. (2022). Re enhances anthocyanin and proanthocyanidin accumulation to produce red foliated cotton and brown fiber. PLANT PHYSIOLOGY. 189(3). 1466–1481. 28 indexed citations
8.
Pan, Zhenyuan, Chunyuan You, Chao Shen, et al.. (2021). Association mapping and domestication analysis to dissect genetic improvement process of upland cotton yield-related traits in China. Journal of Cotton Research. 4(1). 4 indexed citations
9.
Pan, Zhenyuan, Qingyong Yang, Zhongxu Lin, et al.. (2020). Identification of candidate genes controlling fiber quality traits in upland cotton through integration of meta-QTL, significant SNP and transcriptomic data. Journal of Cotton Research. 3(1). 9 indexed citations
10.
Li, Baoqi, Lin Chen, Weinan Sun, et al.. (2020). Phenomics‐based GWAS analysis reveals the genetic architecture for drought resistance in cotton. Plant Biotechnology Journal. 18(12). 2533–2544. 64 indexed citations
11.
Shen, Chao, et al.. (2019). Development and evaluation of InDel markers in cotton based on whole-genome re-sequencing data. ACTA AGRONOMICA SINICA. 45(2). 196–203. 4 indexed citations
12.
Huang, Cong, Xiaofang Li, Dingguo Li, & Zhongxu Lin. (2018). QTL Mapping for Yield, Growth Period and Plant Height Traits Using MAGIC Population in Upland Cotton. ACTA AGRONOMICA SINICA. 44(9). 1320–1333. 1 indexed citations
13.
Keerio, Ayaz Ali, Chao Shen, Yichun Nie, et al.. (2018). QTL Mapping for Fiber Quality and Yield Traits Based on Introgression Lines Derived from Gossypium hirsutum × G. tomentosum. International Journal of Molecular Sciences. 19(1). 243–243. 43 indexed citations
14.
Wen, Tianwang, Chao Shen, Bin Gao, et al.. (2018). Linkage and association mapping reveals the genetic basis of brown fibre (Gossypium hirsutum). Plant Biotechnology Journal. 16(9). 1654–1666. 47 indexed citations
15.
Shen, Chao, Xin Jin, De Zhu, & Zhongxu Lin. (2017). Uncovering SNP and indel variations of tetraploid cottons by SLAF-seq. BMC Genomics. 18(1). 247–247. 28 indexed citations
16.
Chen, Xiugui, Xuke Lu, Na Shu, et al.. (2017). GhSOS1, a plasma membrane Na+/H+ antiporter gene from upland cotton, enhances salt tolerance in transgenic Arabidopsis thaliana. PLoS ONE. 12(7). e0181450–e0181450. 54 indexed citations
17.
Nie, Xinhui, Chunyuan You, Xiaofang Li, et al.. (2014). Construction of DNA Fingerprinting and Analysis of Genetic Diversity for Xinluzao Cotton Varieties. ACTA AGRONOMICA SINICA. 40(12). 2104–2117. 4 indexed citations
18.
Wang, Xiaqing, et al.. (2013). Intraspecific linkage map construction and QTL mapping of yield and fiber quality of Gossypium babardense.. Australian Journal of Crop Science. 7(9). 1252–1261. 13 indexed citations
19.
Ahmed, Muhammad Mahmood, et al.. (2013). Selection of core SSR markers for fingerprinting upland cotton cultivars and hybrids.. Australian Journal of Crop Science. 7(12). 1912–1920. 6 indexed citations
20.
Zhang, Yanxin, Zhongxu Lin, Wu Li, et al.. (2007). Studies of new EST-SSRs derived from Gossypium barbadense. Chinese Science Bulletin. 52(18). 2522–2531. 20 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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