Qingbin Luo

623 total citations
38 papers, 437 citations indexed

About

Qingbin Luo is a scholar working on Molecular Biology, Animal Science and Zoology and Cancer Research. According to data from OpenAlex, Qingbin Luo has authored 38 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Animal Science and Zoology and 13 papers in Cancer Research. Recurrent topics in Qingbin Luo's work include Animal Nutrition and Physiology (13 papers), MicroRNA in disease regulation (8 papers) and Adipose Tissue and Metabolism (7 papers). Qingbin Luo is often cited by papers focused on Animal Nutrition and Physiology (13 papers), MicroRNA in disease regulation (8 papers) and Adipose Tissue and Metabolism (7 papers). Qingbin Luo collaborates with scholars based in China, United States and France. Qingbin Luo's co-authors include Xiquan Zhang, Qinghua Nie, Zhipeng Li, Yongjie Xu, Dexiang Zhang, Yijie Liu, Jiahui Chen, Wen Luo, Zhenhui Li and Siyu Zhang and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Qingbin Luo

34 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingbin Luo China 12 221 183 115 57 55 38 437
Huarui Du China 12 218 1.0× 162 0.9× 136 1.2× 111 1.9× 32 0.6× 37 465
Yonghong Zhang China 13 196 0.9× 102 0.6× 82 0.7× 71 1.2× 37 0.7× 36 388
Junda Shen China 11 231 1.0× 155 0.8× 81 0.7× 104 1.8× 44 0.8× 36 482
D.W. Chen China 10 278 1.3× 128 0.7× 52 0.5× 26 0.5× 52 0.9× 17 453
Kyu‐Sang Lim South Korea 13 166 0.8× 121 0.7× 113 1.0× 117 2.1× 51 0.9× 55 419
Zhe Chao China 13 277 1.3× 93 0.5× 152 1.3× 80 1.4× 63 1.1× 41 478
Junjing Wu China 11 114 0.5× 96 0.5× 85 0.7× 91 1.6× 31 0.6× 26 291
Xiaodong Tan China 13 169 0.8× 185 1.0× 59 0.5× 167 2.9× 47 0.9× 30 424
Siyuan Xing China 13 202 0.9× 171 0.9× 69 0.6× 141 2.5× 73 1.3× 20 404
Haiming Ma China 11 243 1.1× 80 0.4× 135 1.2× 105 1.8× 82 1.5× 50 429

Countries citing papers authored by Qingbin Luo

Since Specialization
Citations

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

Fields of papers citing papers by Qingbin Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingbin Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Qingbin Luo. A scholar is included among the top collaborators of Qingbin Luo 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 Qingbin Luo. Qingbin Luo 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.
Zhou, Xiaoli, et al.. (2025). Transcriptome and metabolome reveal the mechanism of neuroendocrine regulation in ovarian development of broiler breeders. Genomics. 117(3). 111035–111035. 1 indexed citations
3.
Zhou, Xiaoli, et al.. (2024). Integrated Transcriptomic–Metabolomic Analysis Reveals the Effect of Different Light Intensities on Ovarian Development in Chickens. International Journal of Molecular Sciences. 25(16). 8704–8704. 1 indexed citations
4.
Guo, Lijin, Aijun Liu, Shu-Ya Chen, et al.. (2024). EGR1 mRNA expression levels and polymorphisms are associated with slaughter performance in chickens. Poultry Science. 104(1). 104533–104533. 1 indexed citations
5.
Guo, Lijin, Xiaomeng Wang, Mao Ye, et al.. (2024). ALKBH5 regulates chicken adipogenesis by mediating LCAT mRNA stability depending on m6A modification. BMC Genomics. 25(1). 634–634. 4 indexed citations
6.
Zhao, Changbin, Bowen Hu, Ze Zhang, et al.. (2023). Detection of CD36 gene polymorphism associated with chicken carcass traits and skin yellowness. Poultry Science. 102(7). 102691–102691. 6 indexed citations
7.
Ye, Mao, et al.. (2023). Exploring the association between fat-related traits in chickens and the RGS16 gene: insights from polymorphism and functional validation analysis. Frontiers in Veterinary Science. 10. 1180797–1180797. 3 indexed citations
8.
Hu, Bowen, Donglei Sun, Changbin Zhao, et al.. (2022). Growth hormone receptor gene influences mitochondrial function and chicken lipid metabolism by AMPK-PGC1α-PPAR signaling pathway. BMC Genomics. 23(1). 219–219. 13 indexed citations
9.
Hu, Bowen, et al.. (2022). The Role of Chicken Prolactin, Growth Hormone and Their Receptors in the Immune System. Frontiers in Microbiology. 13. 900041–900041. 7 indexed citations
10.
Guo, Lijin, Weiling Huang, Zhenhui Li, et al.. (2021). Whole Transcriptome Analysis Reveals a Potential Regulatory Mechanism of LncRNA-FNIP2/miR-24-3p/FNIP2 Axis in Chicken Adipogenesis. Frontiers in Cell and Developmental Biology. 9. 653798–653798. 23 indexed citations
11.
12.
Yan, Yiming, Xinheng Zhang, Feng Chen, et al.. (2021). gga-miR-200b-3p promotes avian leukosis virus subgroup J replication via targeting dual-specificity phosphatase 1. Veterinary Microbiology. 264. 109278–109278. 3 indexed citations
13.
Wu, Jingwen, et al.. (2021). Characterization of Chicken Skin Yellowness and Exploration of Genes Involved in Skin Yellowness Deposition in Chicken. Frontiers in Physiology. 12. 585089–585089. 19 indexed citations
14.
Hu, Bowen, Changbin Zhao, Dajian Li, et al.. (2020). Mutation of TWNK Gene Is One of the Reasons of Runting and Stunting Syndrome Characterized by mtDNA Depletion in Sex-Linked Dwarf Chicken. Frontiers in Cell and Developmental Biology. 8. 581–581. 3 indexed citations
15.
Lin, Wencheng, Yijie Liu, Yiming Yan, et al.. (2020). gga-miR-200b-3p Promotes Macrophage Activation and Differentiation via Targeting Monocyte to Macrophage Differentiation-Associated in HD11 Cells. Frontiers in Immunology. 11. 563143–563143. 8 indexed citations
16.
Li, Hongmei, Bowen Hu, Qingbin Luo, et al.. (2020). Runting and Stunting Syndrome Is Associated With Mitochondrial Dysfunction in Sex-Linked Dwarf Chicken. Frontiers in Genetics. 10. 1337–1337. 6 indexed citations
17.
Xu, Jiguo, et al.. (2017). Mapping of Id locus for dermal shank melanin in a Chinese indigenous chicken breed. Journal of Genetics. 96(6). 977–983. 12 indexed citations
18.
Li, Zhenhui, Qingbin Luo, Haiping Xu, et al.. (2017). MiR-34b-5p Suppresses Melanoma Differentiation-Associated Gene 5 (MDA5) Signaling Pathway to Promote Avian Leukosis Virus Subgroup J (ALV-J)-Infected Cells Proliferaction and ALV-J Replication. Frontiers in Cellular and Infection Microbiology. 7. 17–17. 43 indexed citations
19.
Zhang, Li, Ying Li, Haiping Xu, et al.. (2015). A Systematic Analysis on mRNA and MicroRNA Expression in Runting and Stunting Chickens. PLoS ONE. 10(5). e0127342–e0127342. 7 indexed citations
20.
Xiao, Xiong, et al.. (2013). The association of SNPs in Hsp90β gene 5′ flanking region with thermo tolerance traits and tissue mRNA expression in two chicken breeds. Molecular Biology Reports. 40(9). 5295–5306. 18 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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