Chaorong Tang

1.9k total citations
58 papers, 1.1k citations indexed

About

Chaorong Tang is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Chaorong Tang has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 31 papers in Plant Science and 5 papers in Biochemistry. Recurrent topics in Chaorong Tang's work include Plant biochemistry and biosynthesis (32 papers), Plant Gene Expression Analysis (18 papers) and Plant Molecular Biology Research (9 papers). Chaorong Tang is often cited by papers focused on Plant biochemistry and biosynthesis (32 papers), Plant Gene Expression Analysis (18 papers) and Plant Molecular Biology Research (9 papers). Chaorong Tang collaborates with scholars based in China, France and United States. Chaorong Tang's co-authors include Jiyan Qi, Xiaohu Xiao, Heping Li, Yongjun Fang, Yunxia Qin, Binhui Zhou, Xiangyu Long, Cunliang Zhang, Yuekun Wang and Songnian Hu and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Chaorong Tang

53 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaorong Tang China 20 742 644 54 40 37 58 1.1k
Anping Guo China 21 580 0.8× 949 1.5× 44 0.8× 38 0.9× 57 1.5× 66 1.2k
Jarunya Narangajavana Thailand 22 616 0.8× 821 1.3× 29 0.5× 30 0.8× 33 0.9× 51 1.1k
Dimitra Milioni Greece 15 547 0.7× 628 1.0× 37 0.7× 16 0.4× 26 0.7× 31 868
Mao-Sheng Chen China 17 516 0.7× 551 0.9× 43 0.8× 29 0.7× 38 1.0× 37 767
Vivek Dogra India 20 858 1.2× 926 1.4× 39 0.7× 20 0.5× 18 0.5× 42 1.3k
Zhifang Gao China 17 464 0.6× 734 1.1× 47 0.9× 48 1.2× 42 1.1× 21 941
Jian Zhu China 19 819 1.1× 1.0k 1.6× 49 0.9× 26 0.7× 57 1.5× 49 1.5k
Songbi Chen China 20 532 0.7× 770 1.2× 29 0.5× 54 1.4× 27 0.7× 63 1.2k
Qiong Zhang China 21 467 0.6× 773 1.2× 43 0.8× 17 0.4× 48 1.3× 46 1.1k
Thomas Herter Germany 11 464 0.6× 697 1.1× 120 2.2× 52 1.3× 24 0.6× 11 922

Countries citing papers authored by Chaorong Tang

Since Specialization
Citations

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

Fields of papers citing papers by Chaorong Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaorong Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaorong Tang. A scholar is included among the top collaborators of Chaorong Tang 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 Chaorong Tang. Chaorong Tang 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, Yongmei, Zhonghua Li, Xue Yang, et al.. (2025). The MYB-related transcription factor family in rubber dandelion (Taraxacum kok-saghyz): An insight into a latex-predominant member, TkMYBR090. International Journal of Biological Macromolecules. 305(Pt 2). 141058–141058.
2.
Li, Yongmei, Yuan Yao, Tiancheng Xu, et al.. (2025). Selection and validation of reference genes for quantitative real-time PCR analysis across tissues at different developmental stages in Taraxacum kok-saghyz. Journal of Plant Physiology. 309. 154501–154501.
3.
Zhang, Yuanyuan, Xiaodong Liu, Xia Zeng, et al.. (2024). Resequencing-based QTL mapping of girth and rubber yield traits in a full-sib rubber tree population GT1 × CATAS8-79. Industrial Crops and Products. 222. 119867–119867.
4.
Zhang, Yuanyuan, Xing Liu, Cheng Zheng, et al.. (2024). Genome-wide association study identifies QTL for girth and dry rubber yield in a progeny population of Whickham Hevea germplasms. Industrial Crops and Products. 216. 118749–118749. 1 indexed citations
5.
Chen, Yu, et al.. (2023). Arabidopsis membrane protein AMAR1 interaction with type III effector XopAM triggers a hypersensitive response. PLANT PHYSIOLOGY. 193(4). 2768–2787. 7 indexed citations
6.
Fan, Yujie, Jiyan Qi, Xiaohu Xiao, et al.. (2022). Transcript and Protein Profiling Provides Insights Into the Molecular Mechanisms of Harvesting-Induced Latex Production in Rubber Tree. Frontiers in Genetics. 13. 756270–756270. 3 indexed citations
7.
Yang, Xue, et al.. (2022). Genome-wide analysis of the SWEET genes in Taraxacum kok-saghyz Rodin: An insight into two latex-abundant isoforms. Plant Physiology and Biochemistry. 194. 440–448. 9 indexed citations
8.
9.
Xin, Lusheng, Julien Pirrello, Yongjun Fang, et al.. (2020). Ethylene response factors regulate expression of HbSUT3, the sucrose influx carrier in laticifers of Hevea brasiliensis. Tree Physiology. 41(7). 1278–1288. 7 indexed citations
10.
11.
Qi, Jiyan, et al.. (2018). Characterization of Sugar Contents and Sucrose Metabolizing Enzymes in Developing Leaves of Hevea brasiliensis. Frontiers in Plant Science. 9. 58–58. 46 indexed citations
12.
Long, Xiangyu, Bin He, Yongjun Fang, & Chaorong Tang. (2016). Identification and Characterization of the Glucose-6-Phosphate Dehydrogenase Gene Family in the Para Rubber Tree, Hevea brasiliensis. Frontiers in Plant Science. 7. 215–215. 24 indexed citations
13.
Duan, Cuifang, Maryannick Rio, Julien Pirrello, et al.. (2015). Ethylene Response Factors Are Controlled by Multiple Harvesting Stresses in Hevea brasiliensis. PLoS ONE. 10(4). e0123618–e0123618. 27 indexed citations
14.
Xin, Lusheng, et al.. (2014). Cloning and expression analysis of cysteine proteinase genes (HbCP2 and HbCP3) from para rubber tree (Hevea brasiliensis).. Journal of Pharmaceutical and Biomedical Sciences. 22(6). 690–702. 2 indexed citations
15.
Tang, Chaorong. (2013). Comparative Study on the Seasonal Variation of Latex Physiological Characters from three Hevea Clone. Redai zuowu xuebao. 1 indexed citations
16.
Tang, Chaorong, Xiaohu Xiao, Heping Li, et al.. (2013). Comparative Analysis of Latex Transcriptome Reveals Putative Molecular Mechanisms Underlying Super Productivity of Hevea brasiliensis. PLoS ONE. 8(9). e75307–e75307. 36 indexed citations
17.
Xin, Lusheng, et al.. (2012). An Improved Promoter-cloning Method Based on Adaptor-PCR and Its Application in Rubber Tree. 32(3). 296–303. 3 indexed citations
18.
Wang, Yuekun, Fei Yu, & Chaorong Tang. (2009). [Screening and molecular identification of phosphate-solubilizing bacteria in rhizosphere soils in Hainan ecosystem].. PubMed. 49(1). 64–71. 1 indexed citations
19.
Tang, Chaorong, et al.. (2004). Transgenic ice nucleation-active Enterobacter cloacae reduces cold hardiness of corn borer and cotton bollworm larvae. FEMS Microbiology Ecology. 51(1). 79–86. 10 indexed citations
20.
Yang, Jianmin, et al.. (2000). Species of ice nucleation active bacteria on the apricot and the relationship between their activity and flower frost.. Zhongguo nongye Kexue. 33(6). 50–58. 2 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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