Shengming Yang

1.8k total citations
42 papers, 1.3k citations indexed

About

Shengming Yang is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Shengming Yang has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 8 papers in Molecular Biology and 5 papers in Agronomy and Crop Science. Recurrent topics in Shengming Yang's work include Legume Nitrogen Fixing Symbiosis (15 papers), Plant-Microbe Interactions and Immunity (11 papers) and Plant Disease Resistance and Genetics (8 papers). Shengming Yang is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (15 papers), Plant-Microbe Interactions and Immunity (11 papers) and Plant Disease Resistance and Genetics (8 papers). Shengming Yang collaborates with scholars based in United States, China and Hungary. Shengming Yang's co-authors include Hongyan Zhu, Fang Tang, Muqiang Gao, Dong Wang, Jinge Liu, Hari B. Krishnan, Fang Tang, Qi Wang, Shweta Deshpande and Bruce A. Roe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shengming Yang

39 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengming Yang United States 14 1.2k 346 227 88 48 42 1.3k
Marie‐Christine Auriac France 17 1.3k 1.2× 335 1.0× 341 1.5× 59 0.7× 57 1.2× 26 1.4k
Andrew Breakspear United Kingdom 16 1.3k 1.1× 211 0.6× 291 1.3× 44 0.5× 97 2.0× 23 1.5k
Marie‐Françoise Jardinaud France 20 1.8k 1.5× 368 1.1× 349 1.5× 62 0.7× 17 0.4× 39 1.9k
Fumitaka Abe Japan 18 1.3k 1.2× 178 0.5× 435 1.9× 69 0.8× 26 0.5× 37 1.4k
Péter Kaló Hungary 21 3.0k 2.6× 862 2.5× 357 1.6× 83 0.9× 116 2.4× 39 3.1k
Ana Clara Pontaroli Argentina 16 797 0.7× 168 0.5× 357 1.6× 49 0.6× 57 1.2× 33 1.1k
Erika Sallet France 13 1.0k 0.9× 183 0.5× 358 1.6× 105 1.2× 28 0.6× 17 1.2k
Philippe Remigi France 15 539 0.5× 112 0.3× 228 1.0× 104 1.2× 30 0.6× 21 756
Hong‐Kyu Choi South Korea 14 996 0.9× 86 0.2× 275 1.2× 42 0.5× 141 2.9× 30 1.1k
R Voisin France 21 1.1k 0.9× 76 0.2× 287 1.3× 71 0.8× 42 0.9× 48 1.2k

Countries citing papers authored by Shengming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shengming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengming Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengming Yang. A scholar is included among the top collaborators of Shengming 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 Shengming Yang. Shengming 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.
Qin, Qiulin, Jingyin Yu, Shengming Yang, et al.. (2024). Species-specific microsymbiont discrimination mediated by a Medicago receptor kinase. Science Advances. 10(31). eadp6436–eadp6436. 3 indexed citations
2.
Leng, Yueqiang, István Molnár, Jaroslav Doležel, et al.. (2024). A barley MLA immune receptor is activated by a fungal nonribosomal peptide effector for disease susceptibility. New Phytologist. 245(3). 1197–1215. 2 indexed citations
3.
Wyatt, Nathan A., Melvin D. Bolton, Karen Fugate, et al.. (2024). Genetic drift, historic migration, and limited gene flow contributing to the subpopulation divergence in wild sea beet (Beta vulgaris ssp. maritima (L.) Arcang). PLoS ONE. 19(9). e0308626–e0308626. 1 indexed citations
4.
Wyatt, Nathan A., Melvin D. Bolton, Shengming Yang, et al.. (2023). Development of STARP Marker Platform for Flexible SNP Genotyping in Sugarbeet. Agronomy. 13(5). 1359–1359. 2 indexed citations
5.
Carlson, Craig H., et al.. (2023). Plastid terminal oxidase is required for chloroplast biogenesis in barley. The Plant Journal. 117(4). 1179–1190. 5 indexed citations
6.
Fiedler, Jason D., et al.. (2023). Genetic and physical localization of a major susceptibility gene to Pyrenophora teres f. maculata in barley. Theoretical and Applied Genetics. 136(5). 118–118. 3 indexed citations
7.
Liu, Jinge, Qiulin Qin, Shengming Yang, et al.. (2022). Paired Medicago receptors mediate broad-spectrum resistance to nodulation by Sinorhizobium meliloti carrying a species-specific gene. Proceedings of the National Academy of Sciences. 119(51). e2214703119–e2214703119. 12 indexed citations
8.
Yang, Shengming, et al.. (2021). Genetic analysis of the barley variegation mutant, grandpa1.a. BMC Plant Biology. 21(1). 134–134. 7 indexed citations
9.
Xu, Dongbo, et al.. (2021). Genome Sequence of Streptomyces sp. Strain HB-N217, Isolated from the Marine Sponge Forcepia sp.. Microbiology Resource Announcements. 10(8). 1 indexed citations
10.
Qin, Qiulin, et al.. (2020). Genetic localization of the SPC gene controlling pod coiling direction in Medicago truncatula. Genes & Genomics. 42(7). 735–742. 3 indexed citations
11.
Ding, Na, Qiulin Qin, Xia Wu, et al.. (2020). Antagonistic regulation of axillary bud outgrowth by the BRANCHED genes in tobacco. Plant Molecular Biology. 103(1-2). 185–196. 6 indexed citations
12.
Qin, Qiulin, et al.. (2020). Genetic and Physical Localization of the Gene Controlling Leaf Pigmentation Pattern in Medicago truncatula. G3 Genes Genomes Genetics. 10(11). 4159–4165. 3 indexed citations
13.
Yang, Shengming, Fang Tang, & Hongyan Zhu. (2014). Alternative Splicing in Plant Immunity. International Journal of Molecular Sciences. 15(6). 10424–10445. 109 indexed citations
14.
Tang, Fang, Shengming Yang, Muqiang Gao, & Hongyan Zhu. (2013). Alternative splicing is required for RCT1-mediated disease resistance in Medicago truncatula. Plant Molecular Biology. 82(4-5). 367–374. 21 indexed citations
15.
Wang, Dong, Shengming Yang, Fang Tang, & Hongyan Zhu. (2011). Symbiosis specificity in the legume - rhizobial mutualism. Cellular Microbiology. 14(3). 334–342. 228 indexed citations
16.
Yang, Shengming, Fang Tang, Muqiang Gao, Hari B. Krishnan, & Hongyan Zhu. (2010). R gene-controlled host specificity in the legume–rhizobia symbiosis. Proceedings of the National Academy of Sciences. 107(43). 18735–18740. 219 indexed citations
17.
Yang, Shengming, Muqiang Gao, Chenwu Xu, et al.. (2008). Alfalfa benefits fromMedicago truncatula: TheRCT1gene fromM. truncatulaconfers broad-spectrum resistance to anthracnose in alfalfa. Proceedings of the National Academy of Sciences. 105(34). 12164–12169. 107 indexed citations
18.
Yang, Shengming, Muqiang Gao, Shweta Deshpande, et al.. (2007). Genetic and physical localization of an anthracnose resistance gene in Medicago truncatula. Theoretical and Applied Genetics. 116(1). 45–52. 19 indexed citations
19.
20.
Fujino, David W., Michael S. Reid, & Shengming Yang. (1981). EFFECTS OF AMINOOXYACETIC ACID ON POSTHARVEST CHARACTERISTICS OF CARNATION. Acta Horticulturae. 59–64. 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.

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