Lei Qu

3.5k total citations
115 papers, 2.5k citations indexed

About

Lei Qu is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Lei Qu has authored 115 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Genetics, 42 papers in Molecular Biology and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Lei Qu's work include Genetic and phenotypic traits in livestock (36 papers), Animal Genetics and Reproduction (29 papers) and Genetic Mapping and Diversity in Plants and Animals (15 papers). Lei Qu is often cited by papers focused on Genetic and phenotypic traits in livestock (36 papers), Animal Genetics and Reproduction (29 papers) and Genetic Mapping and Diversity in Plants and Animals (15 papers). Lei Qu collaborates with scholars based in China, United States and Romania. Lei Qu's co-authors include Hailong Yan, Haijing Zhu, Chuanying Pan, Ke Wang, Xianyong Lan, Jinwang Liu, Yulin Chen, Xianyong Lan, Xiaolong Wang and Qing Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Circulation Research.

In The Last Decade

Lei Qu

111 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Qu China 30 1.2k 1.1k 561 281 235 115 2.5k
Qing Yang China 26 567 0.5× 1.0k 0.9× 275 0.5× 139 0.5× 187 0.8× 108 2.3k
Xiaoxue Zhang China 34 620 0.5× 2.8k 2.6× 636 1.1× 138 0.5× 53 0.2× 147 4.2k
Di Liu China 28 420 0.4× 1.5k 1.4× 451 0.8× 59 0.2× 208 0.9× 197 3.0k
Jannette M. Dufour United States 30 706 0.6× 1.2k 1.1× 192 0.3× 45 0.2× 527 2.2× 76 3.4k
Yanli Zhang China 28 601 0.5× 1.3k 1.2× 526 0.9× 188 0.7× 332 1.4× 153 2.2k
Ming Cheng China 20 200 0.2× 1.5k 1.3× 270 0.5× 59 0.2× 34 0.1× 96 2.3k
Zeng Wang China 24 287 0.2× 898 0.8× 159 0.3× 171 0.6× 79 0.3× 113 2.2k
Masato Kobayashi Japan 24 504 0.4× 566 0.5× 254 0.5× 122 0.4× 163 0.7× 74 1.9k
Toshiro Arai Japan 23 459 0.4× 530 0.5× 75 0.1× 175 0.6× 68 0.3× 173 1.9k

Countries citing papers authored by Lei Qu

Since Specialization
Citations

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

Fields of papers citing papers by Lei Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Qu. A scholar is included among the top collaborators of Lei 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 Lei Qu. Lei 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.
Du, Yuhan, Feng Yu, Hu Zhang, et al.. (2025). Efficient Organic Light‐Emitting Diodes Based on Ambipolar Doped Organic Single Crystals of Bis‐Styrylbenzene Derivatives. Advanced Optical Materials. 13(12). 1 indexed citations
2.
Wang, Jingxuan, Yangyang Bai, Qian Wang, et al.. (2025). A functional SNP of the core promoter region within goat CDC25A gene affects litter size. Frontiers in Veterinary Science. 11. 1471123–1471123.
3.
Song, Xiaoyue, Lei Shi, Dong Ma, et al.. (2024). The goat PRLR gene: mRNA expression, association analysis of InDel variants with body weight and growth traits. Gene. 935. 149081–149081.
4.
Liu, Xiaoyu, Xiaomin Du, Xiaoyue Song, et al.. (2024). The Goat Cytotoxic T Lymphocyte-Associated Antigen-4 Gene: mRNA Expression and Association Analysis of Insertion/Deletion Variants with the Risk of Brucellosis. International Journal of Molecular Sciences. 25(20). 10948–10948. 1 indexed citations
5.
Song, Xiaoyue, Yangyang Bai, Rongrong Yuan, et al.. (2023). InDel and CNV within the AKAP13 Gene Revealing Strong Associations with Growth Traits in Goat. Animals. 13(17). 2746–2746. 2 indexed citations
6.
Li, Longping, Lei Qu, & Li Tuo. (2023). The effects of Selenohomolanthionine supplementation on the rumen eukaryotic diversity of Shaanbei white cashmere wether goats. Scientific Reports. 13(1). 13134–13134.
7.
Bai, Yangyang, Quratulain Hanif, Hong Chen, et al.. (2022). Goat CLSTN2 gene: tissue expression profile, genetic variation, and its associations with litter size. Animal Biotechnology. 34(7). 2674–2683. 7 indexed citations
8.
Qu, Lei, et al.. (2021). Analysis of Proteomic Characteristics of Peripheral Blood in Preeclampsia and Study of Changes in Fetal Arterial Doppler Parameters Based on Magnetic Nanoparticles. Computational and Mathematical Methods in Medicine. 2021. 1–9. 1 indexed citations
9.
Ge, Wei, Weidong Zhang, Yujie Zheng, et al.. (2021). A Single-Cell Transcriptome Atlas of Cashmere Goat Hair Follicle Morphogenesis. Genomics Proteomics & Bioinformatics. 19(3). 437–451. 40 indexed citations
10.
Ren, Yifei, Xizi Zheng, Hui Wang, et al.. (2020). Human amniotic epithelial cells ameliorate kidney damage in ischemia-reperfusion mouse model of acute kidney injury. Stem Cell Research & Therapy. 11(1). 410–410. 35 indexed citations
11.
Wang, Chao, Bin Yan, Xi Shi, et al.. (2019). Jinmaitong Ameliorates Diabetic Peripheral Neuropathy Through Suppressing TXNIP/NLRP3 Inflammasome Activation In The Streptozotocin-Induced Diabetic Rat Model. SHILAP Revista de lepidopterología. 2 indexed citations
12.
Li, Chao, Shiwei Zhou, Yan Li, et al.. (2018). Trio-Based Deep Sequencing Reveals a Low Incidence of Off-Target Mutations in the Offspring of Genetically Edited Goats. Frontiers in Genetics. 9. 449–449. 26 indexed citations
13.
14.
Shi, Bingbo, Qiang Ding, Xiaolin He, et al.. (2016). Tβ4-overexpression based on the piggyBac transposon system in cashmere goats alters hair fiber characteristics. Transgenic Research. 26(1). 77–85. 17 indexed citations
15.
Qu, Lei, Jianbo Chen, Guijun Zhang, Su-Qin Sun, & Jing Zheng. (2016). Chemical profiling and adulteration screening of Aquilariae Lignum Resinatum by Fourier transform infrared (FT-IR) spectroscopy and two-dimensional correlation infrared (2D-IR) spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 174. 177–182. 31 indexed citations
16.
Qu, Lei. (2011). THE INFLUENCE OF DEXMEDETOMIDINE ON TARGET CONTROLLED INFUSION WITH PROPOFOL FOR SEDATION IN PATIENTS UNDERGOING EPIDURAL ANESTHESIA. 1 indexed citations
17.
Qu, Lei, et al.. (2010). The mitochondrial ultrastructure of interspecies cloned embryos of bovine-goat.. Zhongguo nongye Kexue. 43(12). 2548–2554. 1 indexed citations
18.
Qu, Lei. (2009). Design on Inference Engine of White Cashmere Goats Disease Diagnosis Expert System. Modern Electronics Technique. 1 indexed citations
19.
20.
Li, Wengang, Yongliang Chen, Jingxi Chen, et al.. (2008). Portal venous arterialization resulting in increased portal inflow and portal vein wall thickness in rats. World Journal of Gastroenterology. 14(43). 6681–6681. 11 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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