Xiǎoyīng Dèng

1.3k total citations
33 papers, 400 citations indexed

About

Xiǎoyīng Dèng is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Xiǎoyīng Dèng has authored 33 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 9 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Xiǎoyīng Dèng's work include Research in Cotton Cultivation (19 papers), Plant Virus Research Studies (8 papers) and Plant Molecular Biology Research (4 papers). Xiǎoyīng Dèng is often cited by papers focused on Research in Cotton Cultivation (19 papers), Plant Virus Research Studies (8 papers) and Plant Molecular Biology Research (4 papers). Xiǎoyīng Dèng collaborates with scholars based in China, United States and Pakistan. Xiǎoyīng Dèng's co-authors include Wànkuí Gǒng, Qún Gě, Yùzhēn Shí, Àiyīng Liú, Hǎihóng Shāng, Jǔwǔ Gōng, Jùnwén Lǐ, Quánwěi Lú, Yǒulù Yuán and Yǒulù Yuán and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Frontiers in Immunology.

In The Last Decade

Xiǎoyīng Dèng

30 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiǎoyīng Dèng China 13 252 122 40 36 36 33 400
Rachel Gollop Israel 9 248 1.0× 310 2.5× 20 0.5× 12 0.3× 25 0.7× 10 494
Ainhoa Genovés Spain 10 269 1.1× 123 1.0× 8 0.2× 10 0.3× 7 0.2× 11 380
Hongying Zhang China 13 381 1.5× 227 1.9× 15 0.4× 16 0.4× 25 0.7× 22 530
Vahap Eldem Türkiye 12 460 1.8× 363 3.0× 7 0.2× 12 0.3× 37 1.0× 35 702
Ergin Şahin Türkiye 10 179 0.7× 57 0.5× 13 0.3× 8 0.2× 17 0.5× 39 269
Yayuan Yang China 10 51 0.2× 137 1.1× 10 0.3× 84 2.3× 43 1.2× 21 300
Jan Trnovsky Austria 6 304 1.2× 386 3.2× 16 0.4× 4 0.1× 36 1.0× 7 519
Azali Azlan Malaysia 10 37 0.1× 244 2.0× 31 0.8× 6 0.2× 23 0.6× 20 390

Countries citing papers authored by Xiǎoyīng Dèng

Since Specialization
Citations

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

Fields of papers citing papers by Xiǎoyīng Dèng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiǎoyīng Dèng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiǎoyīng Dèng. A scholar is included among the top collaborators of Xiǎoyīng Dèng 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 Xiǎoyīng Dèng. Xiǎoyīng Dèng 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
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Wang, Yuanhong, Yun Liu, Junna Wang, et al.. (2024). An adenovirus-vectored vaccine based on the N protein of feline coronavirus elicit robust protective immune responses. Antiviral Research. 223. 105825–105825. 4 indexed citations
4.
Fu, Xiongjun, et al.. (2024). LDSS-Net: A Lightweight Network for Dense SAR Ship Detection. 9636–9639.
5.
Wang, Yuanhong, Xiǎoyīng Dèng, Junna Wang, et al.. (2024). Nanoparticle vaccines based on the receptor binding domain of porcine deltacoronavirus elicit robust protective immune responses in mice. Frontiers in Immunology. 15. 1328266–1328266. 6 indexed citations
6.
Xiāo, Xiànghuī, Ruixian Liu, Jǔwǔ Gōng, et al.. (2023). Fine mapping and candidate gene analysis of qFL-A12-5: a fiber length-related QTL introgressed from Gossypium barbadense into Gossypium hirsutum. Theoretical and Applied Genetics. 136(3). 48–48. 7 indexed citations
7.
Gōng, Jǔwǔ, Pengtao Li, Ping Liu, et al.. (2022). Multi-environment Evaluations Across Ecological Regions Reveal That the Kernel Oil Content of Cottonseed Is Equally Determined by Genotype and Environment. Journal of Agricultural and Food Chemistry. 70(8). 2529–2544. 4 indexed citations
8.
Wang, Xiaoyu, Xiaowei Zhang, Jǔwǔ Gōng, et al.. (2022). AAQSP increases mapping resolution of stable QTLs through applying NGS-BSA in multiple genetic backgrounds. Theoretical and Applied Genetics. 135(9). 3223–3235. 2 indexed citations
9.
Razzaq, Abdul, Muhammad Mubashar Zafar, Arfan Ali, et al.. (2022). The Pivotal Role of Major Chromosomes of Sub-Genomes A and D in Fiber Quality Traits of Cotton. Frontiers in Genetics. 12. 642595–642595. 19 indexed citations
10.
Pan, Jie, Xiǎoyīng Dèng, Bo Yu, et al.. (2022). Whole-Transcriptome Profiling and circRNA-miRNA-mRNA Regulatory Networks in B-Cell Development. Frontiers in Immunology. 13. 812924–812924. 9 indexed citations
11.
Fan, Senmiao, Àiyīng Liú, Xianyan Zou, et al.. (2021). Evolution of pectin synthesis relevant galacturonosyltransferase gene family and its expression during cotton fiber development. Journal of Cotton Research. 4(1). 7 indexed citations
12.
Hafeez, Abdul, Abdul Razzaq, Aijaz Ahmed, et al.. (2021). Identification of hub genes through co-expression network of major QTLs of fiber length and strength traits in multiple RIL populations of cotton. Genomics. 113(3). 1325–1337. 4 indexed citations
13.
Razzaq, Abdul, Muhammad Mubashar Zafar, Pengtao Li, et al.. (2021). Transformation and Overexpression of Primary Cell Wall Synthesis-Related Zinc Finger Gene Gh_A07G1537 to Improve Fiber Length in Cotton. Frontiers in Plant Science. 12. 777794–777794. 9 indexed citations
14.
Hafeez, Abdul, Qún Gě, Qí Zhāng, et al.. (2021). Multi-responses of O-methyltransferase genes to salt stress and fiber development of Gossypium species. BMC Plant Biology. 21(1). 37–37. 18 indexed citations
15.
Gě, Qún, Jùnwén Lǐ, Jǔwǔ Gōng, et al.. (2020). Disequilibrium evolution of the Fructose-1,6-bisphosphatase gene family leads to their functional biodiversity in Gossypium species. BMC Genomics. 21(1). 379–379. 16 indexed citations
16.
Shí, Yùzhēn, Àiyīng Liú, Jùnwén Lǐ, et al.. (2020). Examining two sets of introgression lines across multiple environments reveals background-independent and stably expressed quantitative trait loci of fiber quality in cotton. Theoretical and Applied Genetics. 133(7). 2075–2093. 23 indexed citations
17.
Shí, Yùzhēn, Àiyīng Liú, Jùnwén Lǐ, et al.. (2019). Dissecting the genetic basis of fiber quality and yield traits in interspecific backcross populations of Gossypium hirsutum × Gossypium barbadense. Molecular Genetics and Genomics. 294(6). 1385–1402. 21 indexed citations
18.
Zhang, Zhen, Qún Gě, Àiyīng Liú, et al.. (2017). Construction of a High‐Density Genetic Map and Its Application to QTL Identification for Fiber Strength in Upland Cotton. Crop Science. 57(2). 774–788. 27 indexed citations
19.
Zhang, Zhen, Jùnwén Lǐ, Muhammad Jamshed, et al.. (2015). High Resolution Consensus Mapping of Quantitative Trait Loci for Fiber Strength, Length and Micronaire on Chromosome 25 of the Upland Cotton (Gossypium hirsutum L.). PLoS ONE. 10(8). e0135430–e0135430. 39 indexed citations
20.
Wang, Xueding, Jiali Li, Xiǎoyīng Dèng, et al.. (2007). A Pharmacogenetic Study of Pregnane X Receptor (NR1I2) in Han Chinese. Current Drug Metabolism. 8(8). 778–786. 20 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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