Kaixing Qu

1.1k total citations
67 papers, 729 citations indexed

About

Kaixing Qu is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Kaixing Qu has authored 67 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Genetics, 26 papers in Cancer Research and 25 papers in Molecular Biology. Recurrent topics in Kaixing Qu's work include Genetic and phenotypic traits in livestock (41 papers), Cancer-related molecular mechanisms research (26 papers) and Genetic Mapping and Diversity in Plants and Animals (16 papers). Kaixing Qu is often cited by papers focused on Genetic and phenotypic traits in livestock (41 papers), Cancer-related molecular mechanisms research (26 papers) and Genetic Mapping and Diversity in Plants and Animals (16 papers). Kaixing Qu collaborates with scholars based in China, Pakistan and Denmark. Kaixing Qu's co-authors include Bizhi Huang, Chuzhao Lei, Jicai Zhang, Ningbo Chen, Hong Chen, Jianyong Liu, Ya‐Ping Zhang, Quratulain Hanif, Guisheng Wu and Zhaoli Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Kaixing Qu

61 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaixing Qu China 15 532 224 218 173 125 67 729
Marco Milanesi Italy 17 438 0.8× 152 0.7× 155 0.7× 109 0.6× 121 1.0× 37 644
Yongfu La China 15 421 0.8× 254 1.1× 223 1.0× 130 0.8× 244 2.0× 63 745
Natalia Sevane Spain 15 408 0.8× 146 0.7× 91 0.4× 178 1.0× 78 0.6× 39 635
Lorraine Pariset Italy 20 562 1.1× 220 1.0× 97 0.4× 108 0.6× 152 1.2× 39 782
Eui-Soo Kim United States 15 576 1.1× 93 0.4× 110 0.5× 151 0.9× 121 1.0× 20 668
Christy J. Vander Jagt Australia 16 815 1.5× 200 0.9× 259 1.2× 115 0.7× 156 1.2× 28 941
Francesca Maria Sarti Italy 18 562 1.1× 138 0.6× 62 0.3× 334 1.9× 127 1.0× 75 875
S. K. Niranjan India 14 391 0.7× 80 0.4× 101 0.5× 108 0.6× 179 1.4× 85 547
Hojjat Asadollahpour Nanaei Iran 14 362 0.7× 161 0.7× 132 0.6× 88 0.5× 84 0.7× 35 540
Hailu Dadi South Korea 16 590 1.1× 92 0.4× 132 0.6× 103 0.6× 185 1.5× 37 707

Countries citing papers authored by Kaixing Qu

Since Specialization
Citations

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

Fields of papers citing papers by Kaixing Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaixing Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Kaixing Qu. A scholar is included among the top collaborators of Kaixing Qu 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 Kaixing Qu. Kaixing Qu 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.
Cheng, Haijian, Yang Lyu, Kaixing Qu, et al.. (2024). A Whole-Genome Scan Revealed Genomic Features and Selection Footprints of Mengshan Cattle. Genes. 15(9). 1113–1113. 2 indexed citations
2.
Liu, Shuli, Hongwei Yin, Wenlong Li, et al.. (2024). Cross-Species Comparative DNA Methylation Reveals Novel Insights into Complex Trait Genetics among Cattle, Sheep, and Goats. Molecular Biology and Evolution. 41(2). 7 indexed citations
3.
Shen, Jiafei, Xiaoting Xia, Luyang Sun, et al.. (2023). Genome-wide association study reveals that the IBSP locus affects ear size in cattle. Heredity. 130(6). 394–401. 4 indexed citations
4.
Xia, Xiaoting, Kaixing Qu, Yan Wang, et al.. (2023). Global dispersal and adaptive evolution of domestic cattle: a genomic perspective. SHILAP Revista de lepidopterología. 3(1). 8–8. 19 indexed citations
5.
Lyu, Yang, et al.. (2023). Local ancestry and selection in admixed Sanjiang cattle. SHILAP Revista de lepidopterología. 3(1). 30–30. 10 indexed citations
6.
Liu, Xiao, Chunlian Song, Yinghua Liu, et al.. (2022). High Genetic Diversity of Porcine Sapovirus From Diarrheic Piglets in Yunnan Province, China. Frontiers in Veterinary Science. 9. 854905–854905. 7 indexed citations
7.
Ru, Wenxiu, Yang Yu, Haiyan Yang, et al.. (2022). Deletions in GSN gene associated with growth traits of four Chinese cattle breeds. Molecular Genetics and Genomics. 297(5). 1269–1275.
8.
Qu, Kaixing, Quratulain Hanif, Jicai Zhang, et al.. (2022). Whole-Genome Sequencing of Endangered Dengchuan Cattle Reveals Its Genomic Diversity and Selection Signatures. Frontiers in Genetics. 13. 833475–833475. 12 indexed citations
9.
Ding, Cong, Xinglei Qi, Kaixing Qu, et al.. (2022). Distribution of a missense mutation (rs525805167) within the SLC45A2 gene associated with climatic conditions in Chinese cattle. Gene. 835. 146643–146643. 3 indexed citations
10.
Sun, Luyang, Kaixing Qu, Xiaohui Ma, et al.. (2022). Whole-Genome Analyses Reveal Genomic Characteristics and Selection Signatures of Lincang Humped Cattle at the China–Myanmar Border. Frontiers in Genetics. 13. 833503–833503. 13 indexed citations
11.
Zhang, Fengwei, Quratulain Hanif, Xiaoyu Luo, et al.. (2021). Muscle transcriptome analysis reveal candidate genes and pathways related to fat and lipid metabolism in Yunling cattle. Animal Biotechnology. 34(4). 1022–1029. 4 indexed citations
12.
Hao, Dan, Xiao Wang, Yang Yu, et al.. (2021). Integrated Analysis of mRNA and MicroRNA Co-expressed Network for the Differentiation of Bovine Skeletal Muscle Cells After Polyphenol Resveratrol Treatment. Frontiers in Veterinary Science. 8. 777477–777477. 3 indexed citations
13.
Shen, Jiafei, Fengwei Zhang, Quratulain Hanif, et al.. (2021). Genome-wide association study identifies quantitative trait loci affecting cattle temperament. 动物学研究. 43(1). 14–25. 10 indexed citations
14.
Huang, Bizhi, et al.. (2020). A novel missense mutation within KRT75 gene strongly affects heat stress in Chinese cattle. Gene. 768. 145294–145294. 6 indexed citations
15.
Huang, Jieping, Xiaoyan Liu, Feng Xue, et al.. (2020). Characterization of different adipose depots in fattened buffalo: histological features and expression profiling of adipocyte markers. Archives animal breeding/Archiv für Tierzucht. 63(1). 61–67. 7 indexed citations
16.
Li, Mingxun, Xubin Lu, Chenglong Zhang, et al.. (2018). In-depth characterization of the pituitary transcriptome in Simmental and Chinese native cattle. Domestic Animal Endocrinology. 66. 35–42. 6 indexed citations
17.
Mei, Chugang, Hongcheng Wang, Wenjuan Zhu, et al.. (2016). Whole-genome sequencing of the endangered bovine species Gayal (Bos frontalis) provides new insights into its genetic features. Scientific Reports. 6(1). 19787–19787. 28 indexed citations
18.
19.
Qu, Kaixing, et al.. (2014). A new high-frequency allele of the BM2113 locus in the Yunnan mithun population. Genetics and Molecular Research. 13(1). 2155–2159. 1 indexed citations
20.
Wu, Guisheng, Yong‐Gang Yao, Kaixing Qu, et al.. (2007). Population phylogenomic analysis of mitochondrial DNA in wild boars and domestic pigs revealed multiple domestication events in East Asia. Genome biology. 8(11). R245–R245. 118 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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