Qinghua Nie

7.0k total citations
199 papers, 4.5k citations indexed

About

Qinghua Nie is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Qinghua Nie has authored 199 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Molecular Biology, 72 papers in Cancer Research and 60 papers in Genetics. Recurrent topics in Qinghua Nie's work include Cancer-related molecular mechanisms research (51 papers), Animal Nutrition and Physiology (46 papers) and Genetic and phenotypic traits in livestock (43 papers). Qinghua Nie is often cited by papers focused on Cancer-related molecular mechanisms research (51 papers), Animal Nutrition and Physiology (46 papers) and Genetic and phenotypic traits in livestock (43 papers). Qinghua Nie collaborates with scholars based in China, France and United States. Qinghua Nie's co-authors include Xiquan Zhang, Zhenhui Li, Bahareldin Ali Abdalla, Bolin Cai, Hongjia Ouyang, Zhijun Wang, Wen Luo, Biao Chen, Xiaolan Chen and Chenglong Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Qinghua Nie

191 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qinghua Nie China 39 2.6k 1.9k 1.2k 1.1k 428 199 4.5k
Xuewei Li China 33 2.9k 1.1× 1.9k 1.0× 846 0.7× 412 0.4× 715 1.7× 176 4.9k
Kui Li China 38 2.5k 1.0× 1.4k 0.8× 1.3k 1.1× 559 0.5× 462 1.1× 234 4.8k
Diyan Li China 33 2.3k 0.9× 831 0.4× 727 0.6× 671 0.6× 435 1.0× 253 4.1k
Xianyong Lan China 35 2.7k 1.0× 1.8k 1.0× 2.5k 2.1× 361 0.3× 321 0.8× 316 5.0k
Zhihua Jiang United States 35 1.9k 0.7× 795 0.4× 1.8k 1.5× 943 0.9× 764 1.8× 203 4.9k
Lin Jiang China 34 1.5k 0.6× 854 0.5× 1.4k 1.2× 440 0.4× 404 0.9× 165 4.1k
Siriluck Ponsuksili Germany 33 1.6k 0.6× 640 0.3× 1.8k 1.5× 1.3k 1.2× 535 1.3× 271 4.4k
Qing Zhu China 30 1.6k 0.6× 625 0.3× 556 0.5× 704 0.7× 215 0.5× 204 3.2k
Linsen Zan China 32 1.3k 0.5× 894 0.5× 1.0k 0.9× 450 0.4× 412 1.0× 197 3.1k
Hui Zhang China 38 2.7k 1.0× 578 0.3× 1.3k 1.1× 460 0.4× 531 1.2× 202 4.9k

Countries citing papers authored by Qinghua Nie

Since Specialization
Citations

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

Fields of papers citing papers by Qinghua Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghua Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Qinghua Nie. A scholar is included among the top collaborators of Qinghua Nie 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 Qinghua Nie. Qinghua Nie 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.
Zou, Xian, Hao Qu, Semiu Folaniyi Bello, et al.. (2025). Invasion mechanisms of Eimeria coccidian and host immune responses in chicken intestine_A review. Poultry Science. 104(10). 105560–105560.
2.
Kong, Shaofen, Xiaodian Cai, Bolin Cai, et al.. (2025). Genomic and transcriptomic analyses unveil the genetic basis of green shank trait in small white-feather chickens. Poultry Science. 104(4). 104912–104912. 1 indexed citations
3.
Zhou, Zhen, Danfeng Cai, Zhaofeng Zhang, et al.. (2024). Metabolomic, lipidomic and transcriptomic reveal meat quality differences among hybrid, indigenous and commercial broiler. LWT. 209. 116765–116765. 3 indexed citations
4.
Yang, Xin, Bolin Cai, Zhaofeng Zhang, et al.. (2024). Exploring variances in meat quality between Qingyuan partridge chicken and Cobb broiler: Insights from combined multi-omics analysis. Poultry Science. 104(2). 104666–104666. 3 indexed citations
5.
Zhang, Shuai, et al.. (2024). The transmembrane protein TMEM182 promotes fat deposition and alters metabolomics and lipidomics. International Journal of Biological Macromolecules. 259(Pt 1). 129144–129144. 4 indexed citations
6.
Bello, Semiu Folaniyi, Yibin Xu, Bolin Cai, et al.. (2024). Comprehensive analysis of differentially expressed mRNA profiles in chicken jejunum and cecum following Eimeria maxima infection. Poultry Science. 103(6). 103716–103716. 2 indexed citations
7.
Li, Zhenhui, Zhenhui Li, Qinghua Nie, et al.. (2024). Live chicken body fat measurement technology based on bio-electrical impedance. Computers and Electronics in Agriculture. 220. 108890–108890. 7 indexed citations
8.
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
9.
Zhang, Zihao, Wen Luo, Jiahui Chen, et al.. (2023). Chicken muscle antibody array reveals the regulations of LDHA on myoblast differentiation through energy metabolism. International Journal of Biological Macromolecules. 254(Pt 1). 127629–127629. 5 indexed citations
10.
Lin, Qi, et al.. (2023). Metabolomic, lipidomic, and proteomic profiles provide insights on meat quality differences between Shitou and Wuzong geese. Food Chemistry. 438. 137967–137967. 24 indexed citations
11.
Chen, Jiahui, Lin Qi, Shuai Zhang, et al.. (2023). Bulk and single‐cell alternative splicing analyses reveal roles of TRA2B in myogenic differentiation. Cell Proliferation. 57(2). e13545–e13545. 7 indexed citations
12.
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
13.
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
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.
Ouyang, Hongjia, Jiao Yu, Xiaolan Chen, Zhijun Wang, & Qinghua Nie. (2020). A novel transcript of MEF2D promotes myoblast differentiation and its variations associated with growth traits in chicken. PeerJ. 8. e8351–e8351. 7 indexed citations
16.
Xu, Jiguo, et al.. (2017). Associations of IGF2 and DRD2 polymorphisms with laying traits in Muscovy duck. PeerJ. 5. e4083–e4083. 19 indexed citations
17.
18.
Ouyang, Hongjia, Huan Zhang, Weimin Li, et al.. (2016). Identification, expression and variation of the GNPDA2 gene, and its association with body weight and fatness traits in chicken. PeerJ. 4. e2129–e2129. 9 indexed citations
19.
Luo, Chenglong, Xu Shen, Yousheng Rao, et al.. (2012). Differences of Z chromosome and genomic expression between early- and late-feathering chickens. Molecular Biology Reports. 39(5). 6283–6288. 19 indexed citations
20.
Li, Hongmei, Wen Luo, Ying Li, et al.. (2012). Let-7b regulates the expression of the growth hormone receptor gene in deletion-type dwarf chickens. BMC Genomics. 13(1). 306–306. 59 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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