Chaoling Wei

4.7k total citations
57 papers, 2.3k citations indexed

About

Chaoling Wei is a scholar working on Molecular Biology, Plant Science and Pathology and Forensic Medicine. According to data from OpenAlex, Chaoling Wei has authored 57 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 25 papers in Plant Science and 20 papers in Pathology and Forensic Medicine. Recurrent topics in Chaoling Wei's work include Tea Polyphenols and Effects (20 papers), Plant Gene Expression Analysis (11 papers) and Plant Molecular Biology Research (10 papers). Chaoling Wei is often cited by papers focused on Tea Polyphenols and Effects (20 papers), Plant Gene Expression Analysis (11 papers) and Plant Molecular Biology Research (10 papers). Chaoling Wei collaborates with scholars based in China, United States and India. Chaoling Wei's co-authors include Yeyun Li, Zhengzhu Zhang, Shengrui Liu, Changjun Jiang, Xiaochun Wan, Wei Tong, Yanlin An, Enhua Xia, Junyan Zhu and Xiaochun Wan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Chaoling Wei

54 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoling Wei China 27 1.3k 1.1k 633 267 247 57 2.3k
Enhua Xia China 28 1.4k 1.0× 1.1k 1.0× 445 0.7× 188 0.7× 230 0.9× 57 2.2k
Liyuan Wang China 24 776 0.6× 699 0.6× 621 1.0× 288 1.1× 179 0.7× 90 1.7k
Xinyuan Hao China 31 1.3k 1.0× 1.9k 1.7× 396 0.6× 171 0.6× 72 0.3× 86 2.5k
Zhongxiong Lai China 30 1.5k 1.1× 1.8k 1.6× 431 0.7× 415 1.6× 59 0.2× 206 2.8k
Chaoling Wei China 27 1.0k 0.8× 939 0.8× 561 0.9× 284 1.1× 49 0.2× 50 2.0k
Chuan Yue China 24 944 0.7× 1.1k 1.0× 408 0.6× 218 0.8× 63 0.3× 48 1.7k
Yuling Lin China 28 1.3k 1.0× 1.5k 1.3× 271 0.4× 277 1.0× 47 0.2× 129 2.2k
Zhongwei Zou Canada 23 803 0.6× 923 0.8× 231 0.4× 109 0.4× 115 0.5× 54 1.5k
Jun Duan China 37 2.4k 1.8× 3.0k 2.7× 242 0.4× 233 0.9× 143 0.6× 107 4.0k
Michel Noirot France 29 866 0.7× 1.3k 1.1× 209 0.3× 252 0.9× 160 0.6× 97 2.3k

Countries citing papers authored by Chaoling Wei

Since Specialization
Citations

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

Fields of papers citing papers by Chaoling Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoling Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoling Wei. A scholar is included among the top collaborators of Chaoling Wei 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 Chaoling Wei. Chaoling Wei 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.
2.
Wang, Shuangshuang, Ran Zhang, Litao Sun, et al.. (2025). Uncovering the key miRNA-target network of tea plants in resistance to sooty mold disease. BMC Plant Biology. 25(1). 446–446.
3.
Mi, Xiaozeng, et al.. (2024). Alternative splicing of CsWRKY21 positively regulates cold response in tea plant. Plant Physiology and Biochemistry. 208. 108473–108473. 16 indexed citations
4.
Zhou, Qianqian, Guoqiang Li, Pengke Wang, et al.. (2024). Molecular responses reveal that two glutathione S-transferase CsGSTU8s contribute to detoxification of glyphosate in tea plants (Camellia sinensis). International Journal of Biological Macromolecules. 277(Pt 2). 134304–134304. 3 indexed citations
5.
Zhang, Hongxiu, Qianqian Zhou, Shuangshuang Wang, et al.. (2024). The Laccase Family Gene CsLAC37 Participates in Resistance to Colletotrichum gloeosporioides Infection in Tea Plants. Plants. 13(6). 884–884. 6 indexed citations
6.
Xie, Hui, Junyan Zhu, Huiqi Wang, et al.. (2024). An enhancer-transposable element from purple leaf tea varieties underlies the transition from evergreen to purple leaf color. Plant Communications. 6(2). 101176–101176. 9 indexed citations
7.
Liu, Shengrui, Junyan Zhu, Guoqiang Li, et al.. (2023). Integrated physiological, metabolite and proteomic analysis reveal the glyphosate stress response mechanism in tea plant (Camellia sinensis). Journal of Hazardous Materials. 454. 131419–131419. 27 indexed citations
8.
Ye, Ying, Xin Li, Xin‐Qiang Zheng, et al.. (2023). CsMYB67 participates in the flavonoid biosynthesis of summer tea leaves. Horticulture Research. 11(1). uhad231–uhad231. 5 indexed citations
9.
Jin, Ge, Yuanyuan Zhu, Chuanjian Cui, et al.. (2023). Tracing the origin of Taiping Houkui green tea using 1H NMR and HS-SPME-GC–MS chemical fingerprints, data fusion and chemometrics. Food Chemistry. 425. 136538–136538. 30 indexed citations
10.
Qiao, Dahe, Junyan Zhu, Xiaozeng Mi, et al.. (2023). Effects of withering time of fresh leaves on the formation of flavor quality of Taiping Houkui tea. LWT. 182. 114833–114833. 23 indexed citations
11.
Tan, Xiaoqin, Huili Li, Zhongyue Zhang, et al.. (2023). Characterization of the Difference between Day and Night Temperatures on the Growth, Photosynthesis, and Metabolite Accumulation of Tea Seedlings. International Journal of Molecular Sciences. 24(7). 6718–6718. 11 indexed citations
12.
Liu, Lu, et al.. (2022). miR319a targeting of CsTCP10 plays an important role in defense against gray blight disease in tea plant (Camellia sinensis). Tree Physiology. 42(7). 1450–1462. 18 indexed citations
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Zhu, Junyan, Xiaomei Yan, Lu Liu, et al.. (2019). Duplication and transcriptional divergence of three Kunitz protease inhibitor genes that modulate insect and pathogen defenses in tea plant (Camellia sinensis). Horticulture Research. 6(1). 126–126. 21 indexed citations
16.
Liu, Shengrui, Yanlin An, Wei Tong, et al.. (2019). Characterization of genome-wide genetic variations between two varieties of tea plant (Camellia sinensis) and development of InDel markers for genetic research. BMC Genomics. 20(1). 935–935. 41 indexed citations
17.
Liu, Shengrui, Yanlin An, Fangdong Li, et al.. (2018). Genome-wide identification of simple sequence repeats and development of polymorphic SSR markers for genetic studies in tea plant (Camellia sinensis). Molecular Breeding. 38(5). 58 indexed citations
18.
Tong, Wei, Jie Yu, Yan Hou, et al.. (2018). Circular RNA architecture and differentiation during leaf bud to young leaf development in tea (Camellia sinensis). Planta. 248(6). 1417–1429. 57 indexed citations
19.
Wang, Yu, Changjun Jiang, Yeyun Li, Chaoling Wei, & Wei‐Wei Deng. (2011). CsICE1 and CsCBF1: two transcription factors involved in cold responses in Camellia sinensis. Plant Cell Reports. 31(1). 27–34. 110 indexed citations
20.
Yang, Dongqing, et al.. (2010). Reference Genes for Real-time Fluorescence Quantitative PCR in Camellia sinensis. Chinese Bulletin of Botany. 45(5). 579. 27 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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