Huixian Xing

411 total citations
10 papers, 279 citations indexed

About

Huixian Xing is a scholar working on Plant Science, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Huixian Xing has authored 10 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 3 papers in Molecular Biology and 2 papers in Analytical Chemistry. Recurrent topics in Huixian Xing's work include Research in Cotton Cultivation (6 papers), Plant Molecular Biology Research (4 papers) and Photosynthetic Processes and Mechanisms (2 papers). Huixian Xing is often cited by papers focused on Research in Cotton Cultivation (6 papers), Plant Molecular Biology Research (4 papers) and Photosynthetic Processes and Mechanisms (2 papers). Huixian Xing collaborates with scholars based in China and Pakistan. Huixian Xing's co-authors include Yanchao Yuan, Liyuan Wang, Xianliang Song, Guihua Zhang, Xuezhen Sun, Feng Wei, Jincai Tao, Muhammad Saeed, Lili Mao and Haoran Wang and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Huixian Xing

9 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huixian Xing China 8 178 131 17 17 13 10 279
Emilie Julio France 9 293 1.6× 153 1.2× 38 2.2× 12 0.7× 11 0.8× 13 334
Jinji Pu China 11 297 1.7× 132 1.0× 5 0.3× 8 0.5× 21 1.6× 23 383
Martha Malapi‐Wight United States 12 261 1.5× 122 0.9× 7 0.4× 26 1.5× 11 0.8× 22 339
Shanyue Zhou China 10 380 2.1× 126 1.0× 18 1.1× 19 1.1× 22 1.7× 20 422
Preeti Arya India 8 224 1.3× 139 1.1× 13 0.8× 3 0.2× 9 0.7× 20 283
Bo-Ming Wu China 6 213 1.2× 96 0.7× 16 0.9× 17 1.0× 15 1.2× 12 247
Lucía Porrini Argentina 5 230 1.3× 124 0.9× 29 1.7× 7 0.4× 7 0.5× 8 317
Marino Moretti Italy 8 220 1.2× 98 0.7× 5 0.3× 17 1.0× 19 1.5× 11 270
Gyeongik Ahn South Korea 12 202 1.1× 158 1.2× 7 0.4× 6 0.4× 8 0.6× 29 309

Countries citing papers authored by Huixian Xing

Since Specialization
Citations

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

Fields of papers citing papers by Huixian Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huixian Xing

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

All Works

10 of 10 papers shown
2.
Zhang, Haijun, Yanchao Yuan, Huixian Xing, et al.. (2023). Genome-wide identification and expression analysis of the HVA22 gene family in cotton and functional analysis of GhHVA22E1D in drought and salt tolerance. Frontiers in Plant Science. 14. 1139526–1139526. 11 indexed citations
3.
Zhuang, Tao, Yiming Wang, Muhammad Saeed, et al.. (2022). Determination of protein and fatty acid composition of shell-intact upland cottonseed using near-infrared reflectance spectroscopy. Industrial Crops and Products. 191. 115909–115909. 10 indexed citations
4.
Zhang, Haijun, Lili Mao, Huixian Xing, et al.. (2022). Overexpression of GhABF3 increases cotton(Gossypium hirsutum L.) tolerance to salt and drought. BMC Plant Biology. 22(1). 313–313. 25 indexed citations
5.
Yuan, Yanchao, Haijun Zhang, Liyuan Wang, et al.. (2019). Candidate quantitative trait loci and genes for fiber quality in Gossypium hirsutum L. detected using single- and multi-locus association mapping. Industrial Crops and Products. 134. 356–369. 14 indexed citations
6.
Yuan, Yanchao, Huixian Xing, Jialing Xu, et al.. (2019). Genome-wide association and differential expression analysis of salt tolerance in Gossypium hirsutum L at the germination stage. BMC Plant Biology. 19(1). 394–394. 50 indexed citations
7.
Xing, Huixian, Lili Mao, Haijun Zhang, et al.. (2019). Estimation of Protein and Fatty Acid Composition in Shell‐Intact Cottonseed by Near Infrared Reflectance Spectroscopy. Journal of the American Oil Chemists Society. 97(4). 331–340. 5 indexed citations
8.
Xing, Huixian, Yanchao Yuan, Haijun Zhang, et al.. (2019). Multi-environments and multi-models association mapping identified candidate genes of lint percentage and seed index in Gossypium hirsutum L.. Molecular Breeding. 39(10-11). 7 indexed citations
9.
Wang, Liyuan, Huixian Xing, Yanchao Yuan, et al.. (2018). Genome-wide analysis of codon usage bias in four sequenced cotton species. PLoS ONE. 13(3). e0194372–e0194372. 118 indexed citations
10.
Yuan, Yanchao, Liyuan Wang, Huixian Xing, et al.. (2018). Genome-Wide Association Study Identifies Candidate Genes Related to Seed Oil Composition and Protein Content in Gossypium hirsutum L.. Frontiers in Plant Science. 9. 1359–1359. 39 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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