Li Leng

820 total citations
42 papers, 621 citations indexed

About

Li Leng is a scholar working on Molecular Biology, Animal Science and Zoology and Genetics. According to data from OpenAlex, Li Leng has authored 42 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Animal Science and Zoology and 12 papers in Genetics. Recurrent topics in Li Leng's work include Animal Nutrition and Physiology (13 papers), Genetic and phenotypic traits in livestock (10 papers) and Peroxisome Proliferator-Activated Receptors (8 papers). Li Leng is often cited by papers focused on Animal Nutrition and Physiology (13 papers), Genetic and phenotypic traits in livestock (10 papers) and Peroxisome Proliferator-Activated Receptors (8 papers). Li Leng collaborates with scholars based in China, United States and Czechia. Li Leng's co-authors include Hui Li, Yue Lu, Chuanjian Lu, Jianan Wei, Ling Han, Yuxiang Wang, Ailin Wang, Shouzhi Wang, Xiaoqin Zhong and Haiming Chen and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Li Leng

38 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Leng China 15 276 173 166 112 93 42 621
Jintao Gao China 12 156 0.6× 70 0.4× 242 1.5× 125 1.1× 69 0.7× 23 539
Kyu‐Sang Lim South Korea 13 166 0.6× 117 0.7× 121 0.7× 34 0.3× 113 1.2× 55 419
Chenglong Jin China 13 175 0.6× 38 0.2× 95 0.6× 32 0.3× 37 0.4× 38 387
Xueyuan Jiang China 15 365 1.3× 44 0.3× 53 0.3× 51 0.5× 103 1.1× 31 613
Junbing Jiang China 13 170 0.6× 53 0.3× 88 0.5× 91 0.8× 77 0.8× 32 535
Yongqing Zeng China 15 259 0.9× 159 0.9× 142 0.9× 98 0.9× 164 1.8× 66 646
Chaochao Luo China 16 408 1.5× 117 0.7× 42 0.3× 44 0.4× 117 1.3× 32 678
Dušan Vašíček Slovakia 14 145 0.5× 183 1.1× 99 0.6× 61 0.5× 69 0.7× 34 528
Jennifer J. Michal United States 14 224 0.8× 214 1.2× 131 0.8× 154 1.4× 121 1.3× 20 755
Concepción Lucena Spain 14 181 0.7× 42 0.2× 61 0.4× 110 1.0× 33 0.4× 18 524

Countries citing papers authored by Li Leng

Since Specialization
Citations

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

Fields of papers citing papers by Li Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Li Leng. A scholar is included among the top collaborators of Li Leng 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 Li Leng. Li Leng 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.
Wu, Xue, Qi Yang, Li Leng, Peng Yang, & Zhitu Zhu. (2025). Altered metabolic profiles in colon and rectal cancer. Scientific Reports. 15(1). 11310–11310. 1 indexed citations
2.
Zhang, Huili, Xiaoxiang Cao, Li Leng, et al.. (2025). Functional analysis of lncRNAs in lipid metabolism of fat and lean line broiler embryonic livers. Poultry Science. 104(8). 105261–105261.
3.
4.
Liu, Jie, Shijie Zhou, Yumao Li, et al.. (2024). A Study on the Growth and Development Characteristics of Lindian Chickens. Animals. 14(2). 354–354. 2 indexed citations
5.
Lu, Xinliang, et al.. (2024). Ultrasound Stimulation Modulates Microglia M1/M2 Polarization and Affects Hippocampal Proteomic Changes in a Mouse Model of Alzheimer's Disease. Immunity Inflammation and Disease. 12(11). e70061–e70061. 1 indexed citations
6.
Chen, Hongyan, Qi Zhang, Li Leng, et al.. (2023). HBP1 promotes chicken preadipocyte proliferation via directly repressing SOCS3 transcription. International Journal of Biological Macromolecules. 256(Pt 2). 128414–128414. 3 indexed citations
7.
Ma, Yanyan, Jing Yang, Li Leng, et al.. (2023). Comparative analyses of laying performance and follicular development characteristics between fat and lean broiler lines. Poultry Science. 103(1). 103250–103250. 7 indexed citations
8.
Bai, Xue, Haoyu Wang, Shouzhi Wang, et al.. (2022). Identification of biomarkers associated with the feed efficiency by metabolomics profiling: results from the broiler lines divergent for high or low abdominal fat content. Journal of Animal Science and Biotechnology. 13(1). 122–122. 6 indexed citations
9.
Yang, Jing, Melissa S. Monson, Peng Wang, et al.. (2022). Multi-Omics Association Reveals the Effects of Intestinal Microbiome–Host Interactions on Fat Deposition in Broilers. Frontiers in Microbiology. 12. 815538–815538. 19 indexed citations
10.
Shi, Shourong, Dan Shao, Qiqi Liang, et al.. (2022). Whole genome analyses reveal novel genes associated with chicken adaptation to tropical and frigid environments. Journal of Advanced Research. 47. 13–25. 49 indexed citations
11.
Leng, Li, Hongyu Zhang, Xiaoqin Zhong, et al.. (2019). PSORI-CM02 formula alleviates imiquimod-induced psoriasis via affecting macrophage infiltration and polarization. Life Sciences. 243. 117231–117231. 44 indexed citations
12.
Wang, Zhongbin, Zhi‐Qiang Du, Na Wei, et al.. (2018). Production of transgenic broilers by non-viral vectors via optimizing egg windowing and screening transgenic roosters. Poultry Science. 98(1). 430–439. 6 indexed citations
13.
Xu, Hui, et al.. (2017). T cell subsets and cytokines are increased in the bronchoalveolar lavage fluid in children with pneumonia. Biomedical Research-tokyo. 28(18). 7851–7855.
14.
Bi, Wang, Zhi Huang, Rui Gao, et al.. (2017). Expression of Long Noncoding RNA Urothelial Cancer Associated 1 Promotes Cisplatin Resistance in Cervical Cancer. Cancer Biotherapy and Radiopharmaceuticals. 32(3). 101–110. 39 indexed citations
15.
Wang, Shouzhi, et al.. (2015). Correlation Analysis between polymorphism of MC3R gene and growth and body composition traits in chicken.. 37(10). 12–15. 1 indexed citations
16.
Zhang, Yuanliang, et al.. (2015). Genetic analysis on rose-comb, fishy taint and dwarf traits in Lindian chicken population.. 37(14). 7–12. 2 indexed citations
17.
Zhang, Qi, Songsong Xu, Peng Luan, et al.. (2015). Differential expression of six chicken genes associated with fatness traits in a divergently selected broiler population. Molecular and Cellular Probes. 30(1). 1–5. 12 indexed citations
18.
Shi, Hui, Qigui Wang, Yuxiang Wang, et al.. (2010). Adipocyte fatty acid-binding protein: An important gene related to lipid metabolism in chicken adipocytes. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 157(4). 357–363. 23 indexed citations
19.
Wang, Shouzhi, et al.. (2009). A Single Nucleotide Polymorphism of Chicken Acetyl-CoA Carboxylase A Gene Associated with Fatness Traits. Animal Biotechnology. 21(1). 42–50. 12 indexed citations
20.
Wang, Qigui, Hui Li, Li Leng, et al.. (2007). Polymorphism of Heart Fatty Acid-Binding Protein Gene Associatied with Fatness Traits in the Chicken. Animal Biotechnology. 18(2). 91–99. 8 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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