Chaonan Shi

992 total citations
19 papers, 616 citations indexed

About

Chaonan Shi is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Chaonan Shi has authored 19 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 8 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Chaonan Shi's work include Plant Molecular Biology Research (6 papers), Plant Stress Responses and Tolerance (5 papers) and Plant Virus Research Studies (5 papers). Chaonan Shi is often cited by papers focused on Plant Molecular Biology Research (6 papers), Plant Stress Responses and Tolerance (5 papers) and Plant Virus Research Studies (5 papers). Chaonan Shi collaborates with scholars based in China, United States and Germany. Chaonan Shi's co-authors include Donghong Chen, Guiliang Tang, Xiaoming Li, Shiyong Sun, Xuelu Wang, Chengxiang Li, Zhan‐Hui Zhang, Feng Chen, Lei Zhao and Yongyan Wang and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Cell Science.

In The Last Decade

Chaonan Shi

19 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaonan Shi China 14 511 279 104 33 25 19 616
Christel Llauro France 14 696 1.4× 535 1.9× 64 0.6× 17 0.5× 13 0.5× 20 872
Patricia Baldrich United States 16 918 1.8× 557 2.0× 28 0.3× 13 0.4× 46 1.8× 29 1.1k
Huaitong Wu China 15 539 1.1× 432 1.5× 80 0.8× 30 0.9× 56 2.2× 28 752
Muhammad Zuhaib Khan Pakistan 14 518 1.0× 615 2.2× 60 0.6× 8 0.2× 27 1.1× 21 813
Chen Zhu China 10 476 0.9× 268 1.0× 17 0.2× 18 0.5× 13 0.5× 28 629
Sharon K. Marr United States 14 490 1.0× 675 2.4× 65 0.6× 11 0.3× 18 0.7× 16 1.0k
Adam M. Bayless United States 11 795 1.6× 165 0.6× 93 0.9× 18 0.5× 6 0.2× 15 908
Tràng Hiếu Nguyen France 12 234 0.5× 334 1.2× 193 1.9× 9 0.3× 4 0.2× 19 561
Jingyu Peng United States 12 194 0.4× 406 1.5× 58 0.6× 5 0.2× 29 1.2× 24 630
Jean‐Malo Couzigou France 12 687 1.3× 427 1.5× 9 0.1× 93 2.8× 23 0.9× 15 910

Countries citing papers authored by Chaonan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Chaonan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaonan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Chaonan Shi. A scholar is included among the top collaborators of Chaonan Shi 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 Chaonan Shi. Chaonan Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Zhang, Tianye, Haichao Hu, Chaonan Shi, et al.. (2025). An m6A methyltransferase confers host resistance by degrading viral proteins through ubiquitination. Nature Communications. 16(1). 4821–4821. 1 indexed citations
2.
Zhao, Sumin, Yaoshen Wang, Xiuqing Xin, et al.. (2022). Next generation sequencing is a highly reliable method to analyze exon 7 deletion of survival motor neuron 1 (SMN1) gene. Scientific Reports. 12(1). 223–223. 15 indexed citations
3.
Wang, Liping, Huang Tan, Laura Medina‐Puche, et al.. (2022). Combinatorial interactions between viral proteins expand the potential functional landscape of the tomato yellow leaf curl virus proteome. PLoS Pathogens. 18(10). e1010909–e1010909. 16 indexed citations
4.
Zhang, Tianye, Chaonan Shi, Haichao Hu, et al.. (2022). N6-methyladenosine RNA modification promotes viral genomic RNA stability and infection. Nature Communications. 13(1). 6576–6576. 42 indexed citations
5.
Shi, Chaonan, et al.. (2021). Phosphorylation-dependent routing of RLP44 towards brassinosteroid or phytosulfokine signalling. Journal of Cell Science. 134(20). 9 indexed citations
6.
Sun, Yan, Fengxia Liu, Yaoshen Wang, et al.. (2021). Characterizing sensitivity and coverage of clinical WGS as a diagnostic test for genetic disorders. BMC Medical Genomics. 14(1). 102–102. 23 indexed citations
7.
Shi, Chaonan, Chunyi Liu, Yan Ren, et al.. (2020). Identification of herbicide resistance loci using a genome-wide association study and linkage mapping in Chinese common wheat. The Crop Journal. 8(4). 666–675. 19 indexed citations
8.
Zhang, Chao, Wei Ying, Le Xu, et al.. (2020). A Bunyavirus-Inducible Ubiquitin Ligase Targets RNA Polymerase IV for Degradation during Viral Pathogenesis in Rice. Molecular Plant. 13(6). 836–850. 46 indexed citations
9.
Yang, Tianxiao, Yongyan Wang, Sachin Teotia, et al.. (2019). The interaction between miR160 and miR165/166 in the control of leaf development and drought tolerance in Arabidopsis. Scientific Reports. 9(1). 2832–2832. 90 indexed citations
10.
Shi, Chaonan, et al.. (2019). Gene regulatory network and abundant genetic variation play critical roles in heading stage of polyploidy wheat. BMC Plant Biology. 19(1). 6–6. 38 indexed citations
11.
Wang, Yongyan, Chaonan Shi, Tianxiao Yang, et al.. (2018). High-throughput sequencing revealed that microRNAs were involved in the development of superior and inferior grains in bread wheat. Scientific Reports. 8(1). 13854–13854. 13 indexed citations
12.
Zhang, Xiangfen, Jianhui Chen, Yan Yan, et al.. (2018). Genome-wide association study of heading and flowering dates and construction of its prediction equation in Chinese common wheat. Theoretical and Applied Genetics. 131(11). 2271–2285. 19 indexed citations
13.
Zhang, Chao, Chaonan Shi, Dong Chen, & Jian Wu. (2018). Rice Ragged Stunt Virus Propagation and Infection on Rice Plants. BIO-PROTOCOL. 8(20). e3060–e3060. 8 indexed citations
15.
Zhang, Chao, Chaonan Shi, Zhirui Yang, et al.. (2017). Rice stripe virus NS3 protein regulates primary miRNA processing through association with the miRNA biogenesis factor OsDRB1 and facilitates virus infection in rice. PLoS Pathogens. 13(10). e1006662–e1006662. 44 indexed citations
16.
Zhang, Ning, et al.. (2017). Comprehensive profiling of lysine ubiquitome reveals diverse functions of lysine ubiquitination in common wheat. Scientific Reports. 7(1). 13601–13601. 31 indexed citations
17.
Wu, Xiangyuan, Dong Ding, Chaonan Shi, et al.. (2016). microRNA-dependent gene regulatory networks in maize leaf senescence. BMC Plant Biology. 16(1). 73–73. 35 indexed citations
18.
Zhang, Zhan‐Hui, Xiangyuan Wu, Chaonan Shi, et al.. (2015). Genetic dissection of the maize kernel development process via conditional QTL mapping for three developing kernel-related traits in an immortalized F2 population. Molecular Genetics and Genomics. 291(1). 437–454. 12 indexed citations
19.
Sun, Shiyong, Donghong Chen, Xiaoming Li, et al.. (2015). Brassinosteroid Signaling Regulates Leaf Erectness in Oryza sativa via the Control of a Specific U-Type Cyclin and Cell Proliferation. Developmental Cell. 34(2). 220–228. 143 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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