Aihua Sha

639 total citations
25 papers, 457 citations indexed

About

Aihua Sha is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Aihua Sha has authored 25 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 6 papers in Molecular Biology and 2 papers in Ecology. Recurrent topics in Aihua Sha's work include Legume Nitrogen Fixing Symbiosis (11 papers), Soybean genetics and cultivation (7 papers) and Plant nutrient uptake and metabolism (6 papers). Aihua Sha is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (11 papers), Soybean genetics and cultivation (7 papers) and Plant nutrient uptake and metabolism (6 papers). Aihua Sha collaborates with scholars based in China, Australia and United States. Aihua Sha's co-authors include Junbin Huang, Lin Xiang, Kangquan Yin, Yule Liu, Wei Xiang, Yan Wang, Xinan Zhou, Jinping Zhao, Xuesong Han and Yefeng Tang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Aihua Sha

24 papers receiving 450 citations

Peers

Aihua Sha

GENET

Hongtao Ji China

Debashis Rana India

Daeseok Choi South Korea

Shailesh K. Lal United States

Rongxin Yang China

Rajdeep Jaswal India

Kangbiao Qi China

Piwu Wang China

Weijie Huang Canada

Reza Shafiei United Kingdom

Hongtao Ji China

Aihua Sha

454 ×1.1

237 ×1.6

15 ×0.5

GENET

10 ×0.5

23 ×1.4

Citations per year, relative to Aihua Sha Aihua Sha (= 1×) peers Hongtao Ji

Countries citing papers authored by Aihua Sha

Since Specialization

Citations

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

Fields of papers citing papers by Aihua Sha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aihua Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Aihua Sha. A scholar is included among the top collaborators of Aihua Sha 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 Aihua Sha. Aihua Sha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Changyan, Li Li, Xuesong Han, et al.. (2024). Isobaric Tags for Relative and Absolute Quantitation-Based Proteomics Analysis Revealed Proteins Involved in Drought Response during the Germination Stage in Faba Bean. Metabolites. 14(3). 175–175. 1 indexed citations

Liu, Changyan, et al.. (2024). Accurate Long-Read RNA Sequencing Analysis Reveals the Key Pathways and Candidate Genes under Drought Stress in the Seed Germination Stage in Faba Bean. International Journal of Molecular Sciences. 25(16). 8875–8875. 1 indexed citations

Li, Li, et al.. (2023). Genome-Wide Identification of bZIP Transcription Factors in Faba Bean Based on Transcriptome Analysis and Investigation of Their Function in Drought Response. Plants. 12(17). 3041–3041. 6 indexed citations

Zhao, Yongguo, et al.. (2023). Thaumatin-like protein family genes VfTLP4-3 and VfTLP5 are critical for faba bean's response to drought stress at the seedling stage. Plant Physiology and Biochemistry. 206. 108243–108243. 10 indexed citations

Yang, Rui, Matthew Tom Harrison, Shah Fahad, et al.. (2022). iTRAQ Proteomic Analysis of Wheat (Triticum aestivum L.) Genotypes Differing in Waterlogging Tolerance. Frontiers in Plant Science. 13. 890083–890083. 4 indexed citations

Guan, Jiantao, Jintao Zhang, Dan Gong, et al.. (2022). Genomic analyses of rice bean landraces reveal adaptation and yield related loci to accelerate breeding. Nature Communications. 13(1). 5707–5707. 22 indexed citations

Wang, Xiuping, et al.. (2022). Effects of three graphene-based materials on the growth and photosynthesis of Brassica napus L.. Ecotoxicology and Environmental Safety. 234. 113383–113383. 20 indexed citations

Yang, Rui, et al.. (2021). Novel Insights Into Genetic Responses for Waterlogging Stress in Two Local Wheat Cultivars in Yangtze River Basin. Frontiers in Genetics. 12. 681680–681680. 8 indexed citations

Han, Xuesong, Yongguo Zhao, Hongwei Chen, et al.. (2021). iTRAQ based protein profile analysis revealed key proteins involved in regulation of drought-tolerance during seed germination in Adzuki bean. Scientific Reports. 11(1). 23725–23725. 8 indexed citations

10.

Cheng, Jianping, et al.. (2021). Effects of Reducing Nitrogen Fertilizer and Improving Organic Fertilizer on Crop Yield, Soil Quality and Microbial Community in Five Years Wheat-Rice Rotation Field. Journal of Biobased Materials and Bioenergy. 15(4). 449–458. 4 indexed citations

11.

Zhu, Zhenzhen, Ke Xie, Changyan Liu, et al.. (2020). Characterization of Drought-Responsive Transcriptome During Seed Germination in Adzuki Bean (Vigna angularis L.) by PacBio SMRT and Illumina Sequencing. Frontiers in Genetics. 11. 996–996. 15 indexed citations

12.

Chen, Hongwei, et al.. (2020). Transcriptome profile analysis of two Vicia faba cultivars with contrasting salinity tolerance during seed germination. Scientific Reports. 10(1). 7250–7250. 37 indexed citations

13.

Sha, Aihua, Ming Li, & Pingfang Yang. (2016). Identification of phosphorus deficiency responsive proteins in a high phosphorus acquisition soybean (Glycine max) cultivar through proteomic analysis. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1864(5). 427–434. 12 indexed citations

14.

Sha, Aihua, Zhihui Shan, Haifeng Chen, et al.. (2016). Identifying patellin-like genes in Glycine max and elucidating their response to phosphorus starvation. Acta Physiologiae Plantarum. 38(6). 5 indexed citations

15.

Wang, Yejian, Chanjuan Zhang, Aihua Sha, et al.. (2013). Elucidation of miRNAs-Mediated Responses to Low Nitrogen Stress by Deep Sequencing of Two Soybean Genotypes. PLoS ONE. 8(7). e67423–e67423. 41 indexed citations

16.

Sha, Aihua, Jinping Zhao, Kangquan Yin, et al.. (2013). Virus-Based MicroRNA Silencing in Plants. PLANT PHYSIOLOGY. 164(1). 36–47. 64 indexed citations

17.

Sha, Aihua, Haiyan Zeng, Shi Sun, et al.. (2012). Maturity Group Classification of Check Varieties in National Soybean Uniform Trials of China. ACTA AGRONOMICA SINICA. 38(11). 1977–1987. 13 indexed citations

18.

Chen, Haifeng, Qingnan Hao, Aihua Sha, et al.. (2012). Transcript Profile of the Response of Two Soybean Genotypes to Potassium Deficiency. PLoS ONE. 7(7). e39856–e39856. 39 indexed citations

19.

Sha, Aihua, Chen Li, Xiaohong Yan, et al.. (2011). Large-scale sequencing of normalized full-length cDNA library of soybean seed at different developmental stages and analysis of the gene expression profiles based on ESTs. Molecular Biology Reports. 39(3). 2867–2874. 8 indexed citations

20.

Chen, Li, et al.. (2010). Construction of a normalized full-length cDNA library of soybean seed at different developmental stages.. Zhongguo nongye Kexue. 43(3). 462–467. 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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