Yumao Li

458 total citations
27 papers, 289 citations indexed

About

Yumao Li is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Yumao Li has authored 27 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 10 papers in Molecular Biology and 10 papers in Animal Science and Zoology. Recurrent topics in Yumao Li's work include Genetic and phenotypic traits in livestock (11 papers), Animal Nutrition and Physiology (10 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Yumao Li is often cited by papers focused on Genetic and phenotypic traits in livestock (11 papers), Animal Nutrition and Physiology (10 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Yumao Li collaborates with scholars based in China, Czechia and India. Yumao Li's co-authors include Hui Li, Zhiping Cao, Peng Luan, Hui Zhang, Yuxiang Wang, Li Leng, Shouzhi Wang, Li Wang, Fan Xiao and Shuang Liu and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Yumao Li

25 papers receiving 285 citations

Peers

Yumao Li

GENET

ASZ

PHYSI

Junjing Wu China

Junting Cao China

Siyuan Xing China

Benjamin J. Hale United States

Chunyou Ning China

Thaís Fernanda Godoy Brazil

Huanfa Gong China

Rayner González-Prendes Spain

Jiguo Xu China

Silu Hu China

Junjing Wu China

Yumao Li

114 ×0.9

91 ×0.9

GENET

96 ×1.0

ASZ

85 ×1.6

31 ×0.8

PHYSI

Citations per year, relative to Yumao Li Yumao Li (= 1×) peers Junjing Wu

Countries citing papers authored by Yumao Li

Since Specialization

Citations

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

Fields of papers citing papers by Yumao Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yumao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yumao Li. A scholar is included among the top collaborators of Yumao Li 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 Yumao Li. Yumao Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chen, Hongsheng, Xintong Liu, Cheng Chang, et al.. (2025). Optimization of Genomic Breeding Value Estimation Model for Abdominal Fat Traits Based on Machine Learning. Animals. 15(19). 2843–2843.

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.

Chen, Hongsheng, Cheng Chang, Fuyang Zhang, et al.. (2025). Identification and Pathway Analysis of SNP Loci Affecting Abdominal Fat Deposition in Broilers. Animals. 15(19). 2811–2811. 1 indexed citations

Wang, Shuping, Yan Song, Zhiping Cao, et al.. (2024). CTGF Inhibits the Differentiation of Chicken Preadipocytes via the TGFβ/Smad3 Signaling Pathway or by Inducing the Expression of ACTG2. Journal of Agricultural and Food Chemistry. 72(35). 19413–19423. 1 indexed citations

Bai, Xue, Cheng Chang, Xinquan Li, et al.. (2024). Integrative 3D genomics with multi-omics analysis and functional validation of genetic regulatory mechanisms of abdominal fat deposition in chickens. Nature Communications. 15(1). 9274–9274. 9 indexed citations

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

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

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

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.

Cao, Zhiping, Peng Luan, Yumao Li, et al.. (2022). Genome-wide association studies for growth traits in broilers. BMC Genomic Data. 23(1). 1–1. 30 indexed citations

11.

Zhang, Xinyang, Yanyan Ma, Ning Wang, et al.. (2021). Genome-wide survey and functional analysis reveal TCF21 promotes chicken preadipocyte differentiation by directly upregulating HTR2A. Biochemical and Biophysical Research Communications. 587. 131–138. 5 indexed citations

12.

Li, Rui, Yumao Li, Zhiping Cao, et al.. (2020). RXRα Positively Regulates Expression of the Chicken PLIN1 Gene in a PPARγ-Independent Manner and Promotes Adipogenesis. Frontiers in Cell and Developmental Biology. 8. 349–349. 12 indexed citations

13.

Li, Yumao, et al.. (2020). On new subclasses of bi-starlike functions with bounded boundary rotation. AIMS Mathematics. 5(4). 3346–3356. 13 indexed citations

14.

Zhang, Xinyang, Chang Liu, Zhi‐Qiang Du, et al.. (2019). A Novel Regulator of Preadipocyte Differentiation, Transcription Factor TCF21, Functions Partially Through Promoting LPL Expression. Frontiers in Physiology. 10. 458–458. 16 indexed citations

15.

Zhang, Hui, et al.. (2019). Genome‐wide association study for plasma very low‐density lipoprotein concentration in chicken. Journal of Animal Breeding and Genetics. 136(5). 351–361. 10 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.

Xu, Songsong, Hui Zhang, Yumao Li, et al.. (2015). Differential expression of six genes and correlation with fatness traits in a unique broiler population. Saudi Journal of Biological Sciences. 24(4). 945–949. 22 indexed citations

19.

Wang, Weishi, Zhi‐Qiang Du, Yuxiang Wang, et al.. (2015). Expression Profiling of Preadipocyte MicroRNAs by Deep Sequencing on Chicken Lines Divergently Selected for Abdominal Fatness. PLoS ONE. 10(2). e0117843–e0117843. 24 indexed citations

20.

Liu, Shuang, Yuxiang Wang, Li Wang, et al.. (2010). Transdifferentiation of fibroblasts into adipocyte-like cells by chicken adipogenic transcription factors. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 156(4). 502–508. 33 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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