Yachun Su

3.9k total citations
106 papers, 2.7k citations indexed

About

Yachun Su is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Yachun Su has authored 106 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Plant Science, 33 papers in Molecular Biology and 25 papers in Biomedical Engineering. Recurrent topics in Yachun Su's work include Sugarcane Cultivation and Processing (49 papers), Plant Stress Responses and Tolerance (23 papers) and Biofuel production and bioconversion (21 papers). Yachun Su is often cited by papers focused on Sugarcane Cultivation and Processing (49 papers), Plant Stress Responses and Tolerance (23 papers) and Biofuel production and bioconversion (21 papers). Yachun Su collaborates with scholars based in China, United States and Canada. Yachun Su's co-authors include Youxiong Que, Liping Xu, Jinlong Guo, Qibin Wu, Shiwu Gao, Fengxiang X. Han, David L. Monts, Hui Ling, Yuting Yang and Susan V. Diehl and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Yachun Su

104 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yachun Su China 31 2.1k 891 520 143 133 106 2.7k
Li‐Tao Yang China 29 2.2k 1.0× 684 0.8× 423 0.8× 217 1.5× 212 1.6× 120 2.7k
Graham D. Bonnett Australia 29 1.9k 0.9× 542 0.6× 650 1.3× 153 1.1× 88 0.7× 98 2.5k
Frederik C. Botha South Africa 32 2.7k 1.3× 1.1k 1.3× 981 1.9× 59 0.4× 126 0.9× 131 3.3k
Xiu‐Peng Song China 26 1.5k 0.7× 304 0.3× 256 0.5× 128 0.9× 134 1.0× 81 1.9k
Menachem Moshelion Israel 35 3.9k 1.8× 1.6k 1.8× 374 0.7× 213 1.5× 180 1.4× 94 4.8k
R. J. Neil Emery Canada 38 3.3k 1.6× 1.4k 1.6× 105 0.2× 95 0.7× 112 0.8× 145 4.1k
Stephen P. Moose United States 29 2.9k 1.3× 1.4k 1.6× 541 1.0× 44 0.3× 80 0.6× 56 3.6k
Hugo Bruno Correa Molinari Brazil 25 1.7k 0.8× 924 1.0× 421 0.8× 48 0.3× 68 0.5× 51 2.4k
Xavier Draye Belgium 36 4.4k 2.0× 857 1.0× 141 0.3× 507 3.5× 177 1.3× 105 5.0k

Countries citing papers authored by Yachun Su

Since Specialization
Citations

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

Fields of papers citing papers by Yachun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yachun Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yachun Su. A scholar is included among the top collaborators of Yachun Su 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 Yachun Su. Yachun Su 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.
Chen, Yanling, Taotao Huang, Yao Chen, et al.. (2025). The function and regulatory network of sugarcane chitinase gene ScChiIV1 in response to pathogen stress. Plant Physiology and Biochemistry. 221. 109630–109630. 2 indexed citations
2.
Su, Yachun, Wei Wang, Tingting Sun, et al.. (2024). Genome-wide identification of Saccharum Sec14-like PITP gene family reveals that ScSEC14-1 is positively involved in disease resistance. Industrial Crops and Products. 221. 119434–119434. 3 indexed citations
3.
4.
Sun, Tingting, Yao Chen, Dongjiao Wang, et al.. (2024). Sugarcane ScOPR1 gene enhances plant disease resistance through the modulation of hormonal signaling pathways. Plant Cell Reports. 43(6). 7 indexed citations
5.
Zhao, Zhennan, Dongjiao Wang, Jing Zhang, et al.. (2023). Dissecting the features of TGA gene family in Saccharum and the functions of ScTGA1 under biotic stresses. Plant Physiology and Biochemistry. 200. 107760–107760. 13 indexed citations
6.
Gao, Shiwu, Yingying Yang, Jinlong Guo, et al.. (2023). Ectopic Expression of Sugarcane ScAMT1.1 Has the Potential to Improve Ammonium Assimilation and Grain Yield in Transgenic Rice under Low Nitrogen Stress. International Journal of Molecular Sciences. 24(2). 1595–1595. 6 indexed citations
7.
Gao, Shiwu, Yingying Yang, Yuting Yang, et al.. (2022). Identification of Low-Nitrogen-Related miRNAs and Their Target Genes in Sugarcane and the Role of miR156 in Nitrogen Assimilation. International Journal of Molecular Sciences. 23(21). 13187–13187. 8 indexed citations
8.
9.
Su, Weihua, Chang Zhang, Dongjiao Wang, et al.. (2021). Genome-wide identification, characterization and expression analysis of the carotenoid cleavage oxygenase (CCO) gene family in Saccharum. Plant Physiology and Biochemistry. 162. 196–210. 26 indexed citations
10.
Wang, Dongjiao, Ling Wang, Weihua Su, et al.. (2020). A class III WRKY transcription factor in sugarcane was involved in biotic and abiotic stress responses. Scientific Reports. 10(1). 20964–20964. 49 indexed citations
11.
Wang, Ling, Feng Liu, Tingting Sun, et al.. (2018). Cloning and Expression Characteristic Analysis of ScWRKY4 Gene in Sugarcane. ACTA AGRONOMICA SINICA. 44(9). 1367–1379. 6 indexed citations
12.
Peng, Qiong, Yachun Su, Hui Ling, et al.. (2017). A sugarcane pathogenesis-related protein, ScPR10, plays a positive role in defense responses under Sporisorium scitamineum, SrMV, SA, and MeJA stresses. Plant Cell Reports. 36(9). 1427–1440. 23 indexed citations
13.
Zhu, Li, Liping Xu, Yachun Su, et al.. (2017). Analysis of Brown Rust Resistance Inheritance Based on Field Phenotypes and Detection of Bru1 Gene in Sugarcane. ACTA AGRONOMICA SINICA. 44(2). 306–312. 4 indexed citations
14.
Yang, Yuting, Xu Zhang, Yachun Su, et al.. (2017). miRNA alteration is an important mechanism in sugarcane response to low-temperature environment. BMC Genomics. 18(1). 833–833. 61 indexed citations
15.
Yang, Yuting, Xu Zhang, Yun Chen, et al.. (2016). Selection of Reference Genes for Normalization of MicroRNA Expression by RT-qPCR in Sugarcane Buds under Cold Stress. Frontiers in Plant Science. 7. 86–86. 33 indexed citations
16.
Gao, Shiwu, Yingying Yang, Chunfeng Wang, et al.. (2016). Transgenic Sugarcane with a cry1Ac Gene Exhibited Better Phenotypic Traits and Enhanced Resistance against Sugarcane Borer. PLoS ONE. 11(4). e0153929–e0153929. 42 indexed citations
17.
Zhou, Dinggang, Chunfeng Wang, Li Zhu, et al.. (2016). Detection of Bar Transgenic Sugarcane with a Rapid and Visual Loop-Mediated Isothermal Amplification Assay. Frontiers in Plant Science. 7. 279–279. 22 indexed citations
18.
Su, Yachun, Liping Xu, Zhuqing Wang, et al.. (2016). Comparative proteomics reveals that central metabolism changes are associated with resistance against Sporisorium scitamineum in sugarcane. BMC Genomics. 17(1). 800–800. 51 indexed citations
19.
Guo, Jinlong, et al.. (2012). A novel dirigent protein gene with highly stem-specific expression from sugarcane, response to drought, salt and oxidative stresses. Plant Cell Reports. 31(10). 1801–1812. 86 indexed citations
20.
Su, Yachun. (2011). Genetic Diversity Among Sugarcane Genotypes Based on Polymorphisms in Sucrose Metabolism Genes. Zhongguo nongye Kexue. 1 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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