Zengkui Lu

1.2k total citations
65 papers, 754 citations indexed

About

Zengkui Lu is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Zengkui Lu has authored 65 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Genetics, 25 papers in Cancer Research and 24 papers in Molecular Biology. Recurrent topics in Zengkui Lu's work include Genetic and phenotypic traits in livestock (24 papers), Cancer-related molecular mechanisms research (23 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). Zengkui Lu is often cited by papers focused on Genetic and phenotypic traits in livestock (24 papers), Cancer-related molecular mechanisms research (23 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). Zengkui Lu collaborates with scholars based in China and Kenya. Zengkui Lu's co-authors include Jianbin Liu, Bohui Yang, Meilin Jin, Yaojing Yue, Caihong Wei, Mingxing Chu, Tingting Guo, Huihua Wang, Jianye Li and Chune Niu and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Zengkui Lu

63 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zengkui Lu China 18 448 263 253 142 93 65 754
Bohui Yang China 18 399 0.9× 237 0.9× 244 1.0× 107 0.8× 74 0.8× 50 716
Yaojing Yue China 14 329 0.7× 180 0.7× 168 0.7× 100 0.7× 72 0.8× 49 566
Zehu Yuan China 15 421 0.9× 277 1.1× 261 1.0× 65 0.5× 91 1.0× 56 713
Shouzhi Wang China 14 324 0.7× 117 0.4× 226 0.9× 194 1.4× 33 0.4× 39 625
Yongfu La China 15 421 0.9× 223 0.8× 254 1.0× 130 0.9× 244 2.6× 63 745
Hojjat Asadollahpour Nanaei Iran 14 362 0.8× 132 0.5× 161 0.6× 88 0.6× 84 0.9× 35 540
Rongqing Geng China 9 222 0.5× 206 0.8× 182 0.7× 39 0.3× 33 0.4× 22 457
Mohammad Moradi-Shahrbabak Iran 13 432 1.0× 149 0.6× 142 0.6× 111 0.8× 71 0.8× 17 612
Christy J. Vander Jagt Australia 16 815 1.8× 259 1.0× 200 0.8× 115 0.8× 156 1.7× 28 941
Xiao Gou China 13 252 0.6× 128 0.5× 162 0.6× 60 0.4× 75 0.8× 29 467

Countries citing papers authored by Zengkui Lu

Since Specialization
Citations

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

Fields of papers citing papers by Zengkui Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zengkui Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Zengkui Lu. A scholar is included among the top collaborators of Zengkui Lu 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 Zengkui Lu. Zengkui Lu 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.
Lu, Zengkui, Rui Zhang, Shengguo Zhao, et al.. (2025). Comprehensive analysis of the transcriptome-wide m6A Methylome in sheep testicular development. Genomics. 117(2). 111005–111005. 2 indexed citations
2.
Wang, Jing, Jianbin Liu, Tingting Guo, et al.. (2025). Multi-omics insights into key microorganisms and metabolites in Tibetan sheep’s high-altitude adaptation. Frontiers in Microbiology. 16. 1616555–1616555. 1 indexed citations
3.
Guo, Tingting, et al.. (2024). Inhibitor of Myom3 inhibits proliferation and promotes differentiation of sheep myoblasts. Genomics. 116(5). 110921–110921. 2 indexed citations
4.
An, Xuejiao, et al.. (2024). Genomic Insights into Tibetan Sheep Adaptation to Different Altitude Environments. International Journal of Molecular Sciences. 25(22). 12394–12394. 2 indexed citations
5.
Zhang, Dan, et al.. (2024). DIA-Based Proteomic Analysis Reveals MYOZ2 as a Key Protein Affecting Muscle Growth and Development in Hybrid Sheep. International Journal of Molecular Sciences. 25(5). 2975–2975. 3 indexed citations
6.
Zhao, Shengguo, Rui Zhang, Zengkui Lu, et al.. (2024). Transcriptomic Study of Different Stages of Development in the Testis of Sheep. Animals. 14(19). 2767–2767.
7.
Yuan, Chao, et al.. (2024). Delta‐like noncanonical notch ligand 2 regulates the proliferation and differentiation of sheep myoblasts through the Wnt/β‐catenin signaling pathway. Journal of Cellular Physiology. 239(11). e31385–e31385. 1 indexed citations
8.
Li, Yuhang, Zengkui Lu, Lin Yue, et al.. (2024). FGF20 Secreted From Dermal Papilla Cells Regulate the Proliferation and Differentiation of Hair Follicle Stem Cells in Fine‐Wool Sheep. Journal of Animal Physiology and Animal Nutrition. 109(3). 655–666. 2 indexed citations
9.
Wang, Fang, Hongbo Wang, Zeyi Liang, et al.. (2024). Characterization of Flavor Compounds in Chinese Indigenous Sheep Breeds Using Gas Chromatography–Ion Mobility Spectrometry and Chemometrics. Foods. 13(17). 2647–2647. 3 indexed citations
10.
Zhang, Wentao, Zengkui Lu, Tingting Guo, Chao Yuan, & Jianbin Liu. (2024). Construction of a high-density genetic map and QTL localization of body weight and wool production related traits in Alpine Merino sheep based on WGR. BMC Genomics. 25(1). 641–641. 1 indexed citations
11.
Lu, Zengkui, et al.. (2024). Key genes and metabolites that regulate wool fibre diameter identified by combined transcriptome and metabolome analysis. Genomics. 116(5). 110886–110886. 1 indexed citations
12.
Yue, Lin, et al.. (2023). Association of SLIT3 and ZNF280B Gene Polymorphisms with Wool Fiber Diameter. Animals. 13(22). 3552–3552. 3 indexed citations
13.
14.
Jin, Meilin, Zengkui Lu, Taotao Li, et al.. (2023). Whole Genome Resequencing Reveals Selection Signals Related to Wool Color in Sheep. Animals. 13(20). 3265–3265. 13 indexed citations
15.
Jin, Meilin, Yuqin Wang, Taotao Li, et al.. (2022). Transcriptome reveals key microRNAs involved in fat deposition between different tail sheep breeds. PLoS ONE. 17(3). e0264804–e0264804. 20 indexed citations
16.
Lu, Zengkui, Chao Yuan, Jianye Li, et al.. (2022). Comprehensive Analysis of Long Non-coding RNA and mRNA Transcriptomes Related to Hypoxia Adaptation in Tibetan Sheep. Frontiers in Veterinary Science. 8. 801278–801278. 7 indexed citations
17.
Jin, Meilin, Zengkui Lu, Mingxing Chu, et al.. (2022). Transcriptome study digs out BMP2 involved in adipogenesis in sheep tails. BMC Genomics. 23(1). 457–457. 15 indexed citations
18.
Guo, Tingting, Hongchang Zhao, Chao Yuan, et al.. (2021). Selective Sweeps Uncovering the Genetic Basis of Horn and Adaptability Traits on Fine-Wool Sheep in China. Frontiers in Genetics. 12. 604235–604235. 8 indexed citations
19.
Liu, Jianbin, Chao Yuan, Tingting Guo, et al.. (2020). Genetic signatures of high-altitude adaptation and geographic distribution in Tibetan sheep. Scientific Reports. 10(1). 18332–18332. 20 indexed citations
20.
Ma, Youji, Quanwei Zhang, Zengkui Lu, Xingxu Zhao, & Yong Zhang. (2015). Analysis of copy number variations by SNP50 BeadChip array in Chinese sheep. Genomics. 106(5). 295–300. 22 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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