Maoyun She

1.3k total citations
32 papers, 875 citations indexed

About

Maoyun She is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Maoyun She has authored 32 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 10 papers in Molecular Biology and 6 papers in Agronomy and Crop Science. Recurrent topics in Maoyun She's work include Wheat and Barley Genetics and Pathology (12 papers), Plant nutrient uptake and metabolism (10 papers) and Crop Yield and Soil Fertility (5 papers). Maoyun She is often cited by papers focused on Wheat and Barley Genetics and Pathology (12 papers), Plant nutrient uptake and metabolism (10 papers) and Crop Yield and Soil Fertility (5 papers). Maoyun She collaborates with scholars based in China, Australia and United States. Maoyun She's co-authors include Wujun Ma, Shahidul Islam, Jingjuan Zhang, Zitong Yu, Xingguo Ye, Yun Zhao, Ke Wang, Shanjida Rahman, Angéla Juhász and Rongchang Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Plant Cell.

In The Last Decade

Maoyun She

31 papers receiving 856 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maoyun She China 18 746 270 168 94 76 32 875
Shoumin Zhen China 19 652 0.9× 279 1.0× 117 0.7× 126 1.3× 35 0.5× 28 798
E. Gregová Slovakia 11 411 0.6× 94 0.3× 85 0.5× 72 0.8× 38 0.5× 54 521
Xingguo Ye China 20 1.2k 1.6× 744 2.8× 118 0.7× 103 1.1× 129 1.7× 58 1.4k
Thérèse Tercé‐Laforgue France 16 1.0k 1.4× 312 1.2× 137 0.8× 37 0.4× 50 0.7× 24 1.1k
Mireille Dardevet France 19 1.2k 1.6× 209 0.8× 253 1.5× 258 2.7× 194 2.6× 28 1.3k
R. Chan Mexico 9 361 0.5× 48 0.2× 141 0.8× 95 1.0× 27 0.4× 15 507
Gavin Humphreys Canada 16 667 0.9× 84 0.3× 140 0.8× 85 0.9× 85 1.1× 28 734
Rémi Alary France 11 459 0.6× 219 0.8× 26 0.2× 82 0.9× 39 0.5× 13 573
Joong Hyoun Chin South Korea 20 1.8k 2.5× 265 1.0× 95 0.6× 83 0.9× 783 10.3× 74 2.0k
Huanju Qin China 16 888 1.2× 398 1.5× 67 0.4× 64 0.7× 72 0.9× 27 1.0k

Countries citing papers authored by Maoyun She

Since Specialization
Citations

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

Fields of papers citing papers by Maoyun She

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maoyun She

This figure shows the co-authorship network connecting the top 25 collaborators of Maoyun She. A scholar is included among the top collaborators of Maoyun She 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 Maoyun She. Maoyun She 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.
Zhao, Yun, Shanjida Rahman, Maoyun She, et al.. (2023). The putative vacuolar processing enzyme gene TaVPE3cB is a candidate gene for wheat stem pith-thickness. Theoretical and Applied Genetics. 136(6). 138–138. 4 indexed citations
2.
Hu, Xin, Yingquan Zhang, Jingjuan Zhang, et al.. (2021). Consensus Genetic Linkage Map Construction Based on One Common Parental Line for QTL Mapping in Wheat. Agronomy. 11(2). 227–227. 3 indexed citations
3.
Yang, Fan, Jingjuan Zhang, Hang Liu, et al.. (2021). Application of CRISPR/Cas9 in Crop Quality Improvement. International Journal of Molecular Sciences. 22(8). 4206–4206. 102 indexed citations
4.
Yu, Zitong, Maoyun She, Ting Zheng, et al.. (2021). Impact and mechanism of sulphur-deficiency on modern wheat farming nitrogen-related sustainability and gliadin content. Communications Biology. 4(1). 945–945. 46 indexed citations
5.
Rahman, Shanjida, Shahidul Islam, Zitong Yu, et al.. (2020). Current Progress in Understanding and Recovering the Wheat Genes Lost in Evolution and Domestication. International Journal of Molecular Sciences. 21(16). 5836–5836. 27 indexed citations
6.
Islam, Shahidul, Angéla Juhász, Rongchang Yang, et al.. (2020). Transcriptomic Study for Identification of Major Nitrogen Stress Responsive Genes in Australian Bread Wheat Cultivars. Frontiers in Genetics. 11. 583785–583785. 35 indexed citations
7.
She, Maoyun, et al.. (2020). Cloning and molecular characterization of Triticum aestivum ornithine amino transferase (TaOAT) encoding genes. BMC Plant Biology. 20(1). 187–187. 12 indexed citations
8.
Islam, Shahidul, Jingjuan Zhang, Yun Zhao, Maoyun She, & Wujun Ma. (2020). Genetic regulation of the traits contributing to wheat nitrogen use efficiency. Plant Science. 303. 110759–110759. 40 indexed citations
9.
Yu, Zitong, Yanchun Peng, Md. Shahidul Islam, et al.. (2019). Molecular characterization and phylogenetic analysis of active y-type high molecular weight glutenin subunit genes at Glu-A1 locus in wheat. Journal of Cereal Science. 86. 9–14. 19 indexed citations
10.
Zhang, Yujuan, Xin Hu, Shahidul Islam, et al.. (2018). New insights into the evolution of wheat avenin-like proteins in wild emmer wheat ( Triticum dicoccoides ). Proceedings of the National Academy of Sciences. 115(52). 13312–13317. 31 indexed citations
11.
Yang, Rongchang, Angéla Juhász, Xin Hu, et al.. (2018). NAM gene allelic composition and its relation to grain-filling duration and nitrogen utilisation efficiency of Australian wheat. PLoS ONE. 13(10). e0205448–e0205448. 29 indexed citations
12.
Yang, Rongchang, Angéla Juhász, Yujuan Zhang, et al.. (2018). Molecular characterisation of the NAM-1 genes in bread wheat in Australia. Crop and Pasture Science. 69(12). 1173–1181. 15 indexed citations
13.
14.
Wang, Ke, Maoyun She, Lipu Du, et al.. (2012). Combinational transformation of three wheat genes encoding fructan biosynthesis enzymes confers increased fructan content and tolerance to abiotic stresses in tobacco. Plant Cell Reports. 31(12). 2229–2238. 28 indexed citations
15.
Ye, Xingguo, et al.. (2011). Identification, Cloning, and Potential Application of Genes Related to Somatic Embryogenesis in Plant Tissue Culture. ACTA AGRONOMICA SINICA. 38(2). 191–201. 5 indexed citations
16.
Du, Lipu, et al.. (2011). Improvement of Plant Regeneration from Immature Embryos of Wheat Infected by Agrobacterium tumefaciens. Agricultural Sciences in China. 10(3). 317–326. 24 indexed citations
17.
She, Maoyun, et al.. (2010). Gene networks in the synthesis and deposition of protein polymers during grain development of wheat. Functional & Integrative Genomics. 11(1). 23–35. 21 indexed citations
18.
19.
Gao, Xiang, Maoyun She, Yang Yu, et al.. (2010). Cloning and Characterization of Genes Coding for Fructan Biosynthesis Enzymes (FBEs) in Triticeae Plants. Agricultural Sciences in China. 9(3). 313–324. 18 indexed citations
20.
She, Maoyun, et al.. (2009). Isolation and Functional Determination of Fructan Biosynthesis Enzyme Encoding Gene 6-SFT from Common Wheat (Triticum aestivum L.). Keji daobao. 70–75. 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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