Jun Yang

4.0k total citations
134 papers, 3.0k citations indexed

About

Jun Yang is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Jun Yang has authored 134 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 68 papers in Plant Science and 29 papers in Cell Biology. Recurrent topics in Jun Yang's work include Plant-Microbe Interactions and Immunity (38 papers), Fungal and yeast genetics research (35 papers) and Plant Pathogens and Fungal Diseases (24 papers). Jun Yang is often cited by papers focused on Plant-Microbe Interactions and Immunity (38 papers), Fungal and yeast genetics research (35 papers) and Plant Pathogens and Fungal Diseases (24 papers). Jun Yang collaborates with scholars based in China, United States and United Kingdom. Jun Yang's co-authors include You‐Liang Peng, Wensheng Zhao, Jin‐Rong Xu, Xiaolin Chen, Yong Qin, Liqun Shen, Haoxing Wu, Lingan Kong, Linlu Qi and Shengqing Zhu and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Jun Yang

128 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Yang China 30 1.5k 1.4k 603 400 240 134 3.0k
Per Olof Nyman Sweden 30 618 0.4× 2.1k 1.5× 258 0.4× 287 0.7× 441 1.8× 74 3.0k
Alberto Macone Italy 28 904 0.6× 1.4k 1.0× 144 0.2× 245 0.6× 226 0.9× 95 2.8k
Giorgia Del Favero Austria 26 510 0.3× 629 0.4× 236 0.4× 146 0.4× 75 0.3× 98 1.9k
Ian M. Eggleston United Kingdom 31 320 0.2× 1.9k 1.4× 115 0.2× 832 2.1× 99 0.4× 75 3.0k
Vinay Kumar Singh India 27 971 0.6× 1.5k 1.1× 177 0.3× 276 0.7× 145 0.6× 145 3.1k
Françoise Besson France 28 420 0.3× 1.4k 1.0× 156 0.3× 233 0.6× 192 0.8× 75 2.3k
Tokichi Miyakawa Japan 36 678 0.5× 2.9k 2.0× 474 0.8× 153 0.4× 358 1.5× 138 3.7k
George Diallinas Greece 37 894 0.6× 2.5k 1.7× 591 1.0× 112 0.3× 217 0.9× 116 3.5k
Per Sunnerhagen Sweden 30 396 0.3× 3.1k 2.2× 396 0.7× 154 0.4× 143 0.6× 106 3.6k
Martin Brendel Germany 33 698 0.5× 2.6k 1.9× 342 0.6× 186 0.5× 103 0.4× 163 3.6k

Countries citing papers authored by Jun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yang. A scholar is included among the top collaborators of Jun Yang 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 Jun Yang. Jun Yang 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.
Jia, Xudong, Ziwen Wang, Jun Yang, et al.. (2025). Structural and functional characterization of human SLFN14. Nucleic Acids Research. 53(10). 1 indexed citations
2.
Xu, Xin, Bingyu Li, Haiying Xiang, et al.. (2024). Analysis of the starch synthase gene family reveals that NtGBSS2 positively regulates resistant starch synthesis and enhances drought resistance in tobacco (Nicotiana tabacum L.). Industrial Crops and Products. 220. 119203–119203. 1 indexed citations
3.
Liu, Qi, Shimin Zuo, Hao Zhang, et al.. (2024). Development of Machine Learning Methods for Accurate Prediction of Plant Disease Resistance. Engineering. 40. 100–110. 10 indexed citations
4.
Yang, Jun, et al.. (2024). A High-Quality Assembly and Comparative Analysis of the Mitogenome of Actinidia macrosperma. Genes. 15(4). 514–514. 1 indexed citations
5.
Ning, Qian, Yuhong Wu, Wei Zhang, et al.. (2024). Three New Species and Five New Host Records from Chaetomiaceae with Anti-Phytopathogenic Potential from Cover Crops Astragalus sinicus and Vicia villosa. Journal of Fungi. 10(11). 776–776. 2 indexed citations
6.
Jia, Honglei, et al.. (2024). Copper oxide nanoparticles alter the uptake and distribution of cadmium through disturbing the ordered structure of the cell wall in Arabidopsis root. Plant Physiology and Biochemistry. 207. 108430–108430. 5 indexed citations
7.
Ma, Wendi, Jun Yang, Junqiang Ding, et al.. (2023). CRISPR/Cas9-mediated deletion of large chromosomal segments identifies a minichromosome modulating the Colletotrichum graminicola virulence on maize. International Journal of Biological Macromolecules. 245. 125462–125462. 7 indexed citations
8.
Chen, Yitong, Liu Tang, Zhiyang Jiang, et al.. (2023). Dual-Specificity Inhibitor Targets Enzymes of the Trehalose Biosynthesis Pathway. Journal of Agricultural and Food Chemistry. 72(1). 209–218. 8 indexed citations
9.
Bhadauria, Vijai, Manyu Zhang, Wendi Ma, et al.. (2023). The Hidden Truths of Fungal Virulence and Adaptation on Hosts: Unraveling the Conditional Dispensability of Minichromosomes in the Hemibiotrophic Colletotrichum Pathogens. International Journal of Molecular Sciences. 25(1). 198–198. 2 indexed citations
10.
Chen, Liting, Yuanyuan Yan, Huifeng Ke, et al.. (2022). SEP-like genes of Gossypium hirsutum promote flowering via targeting different loci in a concentration-dependent manner. Frontiers in Plant Science. 13. 990221–990221. 5 indexed citations
11.
Liu, Xiuying, Mengyu Zhang, Yue Yin, et al.. (2021). The COMPASS‐like complex modulates fungal development and pathogenesis by regulating H3K4me3‐mediated targeted gene expression in Magnaporthe oryzae. Molecular Plant Pathology. 22(4). 422–439. 18 indexed citations
12.
13.
Liu, Caiyun, Junjie Xing, Wenhui He, et al.. (2020). GPI7‐mediated glycosylphosphatidylinositol anchoring regulates appressorial penetration and immune evasion during infection of Magnaporthe oryzae . Environmental Microbiology. 22(7). 2581–2595. 23 indexed citations
14.
15.
Li, Jisheng, Sisi Chen, Xiaofeng Wang, et al.. (2018). Hydrogen Sulfide Disturbs Actin Polymerization via S-Sulfhydration Resulting in Stunted Root Hair Growth. PLANT PHYSIOLOGY. 178(2). 936–949. 78 indexed citations
16.
Liu, Yabing, et al.. (2018). Insights into the inhibitory mechanisms of NADH on the αγ heterodimer of human NAD-dependent isocitrate dehydrogenase. Scientific Reports. 8(1). 3146–3146. 26 indexed citations
17.
Zhou, Wei, Wei Shi, Xiaowen Xu, et al.. (2017). Glutamate synthase MoGlt1‐mediated glutamate homeostasis is important for autophagy, virulence and conidiation in the rice blast fungus. Molecular Plant Pathology. 19(3). 564–578. 30 indexed citations
18.
Chen, Xiaolin, Mi Shen, Jun Yang, et al.. (2016). Peroxisomal fission is induced during appressorium formation and is required for full virulence of the rice blast fungus. Molecular Plant Pathology. 18(2). 222–237. 13 indexed citations
19.
20.
Gao, Huimin, Xiaoguang Liu, Huanbin Shi, et al.. (2013). MoMon1 is required for vacuolar assembly, conidiogenesis and pathogenicity in the rice blast fungus Magnaporthe oryzae. Research in Microbiology. 164(4). 300–309. 35 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Per Olof Nyman Breakdown of academic impact, for papers by Alberto Macone Breakdown of academic impact, for papers by Giorgia Del Favero Breakdown of academic impact, for papers by Ian M. Eggleston Breakdown of academic impact, for papers by Vinay Kumar Singh Breakdown of academic impact, for papers by Françoise Besson Breakdown of academic impact, for papers by Tokichi Miyakawa Breakdown of academic impact, for papers by George Diallinas Breakdown of academic impact, for papers by Per Sunnerhagen Breakdown of academic impact, for papers by Martin Brendel
Rankless by CCL
2026