Jianyuan Yang

1.6k total citations
34 papers, 1.1k citations indexed

About

Jianyuan Yang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Jianyuan Yang has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 13 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Jianyuan Yang's work include Plant-Microbe Interactions and Immunity (18 papers), Plant Disease Resistance and Genetics (13 papers) and Plant Pathogenic Bacteria Studies (9 papers). Jianyuan Yang is often cited by papers focused on Plant-Microbe Interactions and Immunity (18 papers), Plant Disease Resistance and Genetics (13 papers) and Plant Pathogenic Bacteria Studies (9 papers). Jianyuan Yang collaborates with scholars based in China, Philippines and United States. Jianyuan Yang's co-authors include Xiaoyuan Zhu, Kunzheng Cai, Dan Gao, Shiming Luo, Rensen Zeng, Liexian Zeng, Bin Liu, Jing Su, Junliang Zhao and Jingfang Dong and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Jianyuan Yang

33 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
Jianyuan Yang China 17 1.0k 330 177 127 93 34 1.1k
Abbas Nasehi Malaysia 16 610 0.6× 137 0.4× 52 0.3× 319 2.5× 15 0.2× 49 689
Prashant S. Hosmani United States 9 763 0.8× 381 1.2× 45 0.3× 31 0.2× 7 0.1× 17 881
Yi Dai China 15 689 0.7× 340 1.0× 118 0.7× 37 0.3× 5 0.1× 36 801
Jai Prakash Jaiswal India 13 824 0.8× 196 0.6× 188 1.1× 9 0.1× 13 0.1× 63 916
Yuka Madoka Japan 14 870 0.9× 302 0.9× 454 2.6× 21 0.2× 5 0.1× 19 1.0k
Eswarayya Ramireddy India 16 881 0.9× 453 1.4× 38 0.2× 21 0.2× 4 0.0× 30 958
Khirod Kumar Sahoo India 12 668 0.7× 325 1.0× 68 0.4× 8 0.1× 10 0.1× 18 757
M. Variar India 16 802 0.8× 174 0.5× 198 1.1× 96 0.8× 2 0.0× 45 854
Virginia Maria Grazia Borrelli Italy 5 459 0.5× 215 0.7× 55 0.3× 101 0.8× 4 0.0× 5 537
Luciano Consoli Brazil 13 526 0.5× 128 0.4× 120 0.7× 46 0.4× 5 0.1× 30 623

Countries citing papers authored by Jianyuan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jianyuan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianyuan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianyuan Yang. A scholar is included among the top collaborators of Jianyuan 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 Jianyuan Yang. Jianyuan 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.
Yang, Jianyuan, et al.. (2025). Transcriptional Dynamics of Receptor-Based Genes Reveal Immunity Hubs in Rice Response to Magnaporthe oryzae Infection. International Journal of Molecular Sciences. 26(10). 4618–4618.
2.
Chen, Kun, Lin Chen, Shuang Wang, et al.. (2024). Characterization of rice aspartic protease genes and induced expression by phytohormones and Xanthomonas oryzae pv. oryzae. Physiological and Molecular Plant Pathology. 130. 102220–102220. 4 indexed citations
3.
4.
Dong, Jingfang, Xuezhong Li, Yamei Ma, et al.. (2023). Overexpression of OsGF14C enhances salinity tolerance but reduces blast resistance in rice. Frontiers in Plant Science. 14. 1098855–1098855. 5 indexed citations
5.
Li, Wenyan, Yamei Ma, Ting Yu, et al.. (2023). OsGLP3‐7 positively regulates rice immune response by activating hydrogen peroxide, jasmonic acid, and phytoalexin metabolic pathways. Molecular Plant Pathology. 24(3). 248–261. 15 indexed citations
6.
Wang, Congying, Chen Shen, Jing Su, et al.. (2021). Xa7, a Small Orphan Gene Harboring Promoter Trap for AvrXa7, Leads to the Durable Resistance to Xanthomonas oryzae Pv. oryzae. Rice. 14(1). 48–48. 27 indexed citations
7.
Wang, Wenjuan, Jing Su, Jianyuan Yang, et al.. (2020). Dynamics of the Rice Blast Fungal Population in the Field After Deployment of an Improved Rice Variety Containing Known Resistance Genes. Plant Disease. 105(4). 919–928. 5 indexed citations
8.
Wang, Congying, Jianyuan Yang, Bing Chen, et al.. (2020). Identification of the novel bacterial blight resistance gene Xa46(t) by mapping and expression analysis of the rice mutant H120. Scientific Reports. 10(1). 12642–12642. 50 indexed citations
9.
Xiao, Gui, Jianyuan Yang, Xiaoyuan Zhu, Jun Wu, & Bo Zhou. (2020). Prevalence of Ineffective Haplotypes at the Rice Blast Resistance (R) Gene Loci in Chinese Elite Hybrid Rice Varieties Revealed by Sequence-Based Molecular Diagnosis. Rice. 13(1). 6–6. 11 indexed citations
10.
Xiao, Wuming, Qiyun Yang, Ming Huang, et al.. (2019). Improvement of rice blast resistance by developing monogenic lines, two-gene pyramids and three-gene pyramid through MAS. Rice. 12(1). 78–78. 27 indexed citations
11.
12.
Liu, Qing, Xia Li, Shijuan Yan, et al.. (2018). OsWRKY67 positively regulates blast and bacteria blight resistance by direct activation of PR genes in rice. BMC Plant Biology. 18(1). 257–257. 57 indexed citations
13.
Liu, Qing, Jianyuan Yang, Shaohong Zhang, et al.. (2016). OsGF14e positively regulates panicle blast resistance in rice. Biochemical and Biophysical Research Communications. 471(1). 247–252. 16 indexed citations
14.
Su, Jing, Wenjuan Wang, Jingluan Han, et al.. (2015). Functional divergence of duplicated genes results in a novel blast resistance gene Pi50 at the Pi2/9 locus. Theoretical and Applied Genetics. 128(11). 2213–2225. 62 indexed citations
15.
Liu, Yan, Bin Liu, Xiaoyuan Zhu, et al.. (2013). Fine-mapping and molecular marker development for Pi56(t), a NBS-LRR gene conferring broad-spectrum resistance to Magnaporthe oryzae in rice. Theoretical and Applied Genetics. 126(4). 985–998. 68 indexed citations
16.
Shen, Chen, et al.. (2011). Genetic analysis and molecular mapping of a novel recessive gene xa34(t) for resistance against Xanthomonas oryzae pv. oryzae. Theoretical and Applied Genetics. 122(7). 1331–1338. 51 indexed citations
17.
Zhang, Yuexiong, Jianyuan Yang, Chen Shen, et al.. (2011). Substitution mapping of QTLs for blast resistance with SSSLs in rice (Oryza sativa L.). Euphytica. 184(1). 141–150. 24 indexed citations
18.
Yang, Jianyuan. (2010). Pyramiding Pi-1 and fgr Genes to Improve Rice Restorer Lines by Molecular Marker-assisted Selection. Zajiao shuidao. 2 indexed citations
19.
Shen, Chen, et al.. (2009). Genetic diversity and variability of Xanthomonas oryzae pv. oryzae in Guangdong.. Acta Phytopathologica Sinica. 39(3). 231–237. 1 indexed citations
20.
Cai, Kunzheng, Dan Gao, Shiming Luo, et al.. (2008). Physiological and cytological mechanisms of silicon‐induced resistance in rice against blast disease. Physiologia Plantarum. 134(2). 324–333. 252 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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