Yongfu La

1.1k total citations
63 papers, 745 citations indexed

About

Yongfu La is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Yongfu La has authored 63 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Genetics, 30 papers in Molecular Biology and 23 papers in Cancer Research. Recurrent topics in Yongfu La's work include Genetic and phenotypic traits in livestock (27 papers), Cancer-related molecular mechanisms research (21 papers) and Animal Genetics and Reproduction (11 papers). Yongfu La is often cited by papers focused on Genetic and phenotypic traits in livestock (27 papers), Cancer-related molecular mechanisms research (21 papers) and Animal Genetics and Reproduction (11 papers). Yongfu La collaborates with scholars based in China, Canada and India. Yongfu La's co-authors include Fadi Li, Weimin Wang, Chong Li, Futao Mo, Chunnian Liang, Xian Guo, Xiaoxue Zhang, Xiaoxue Zhang, Pengjia Bao and Xiangyu Pan and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Frontiers in Microbiology.

In The Last Decade

Yongfu La

56 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yongfu La China	15	421	254	244	223	130	63	745
Christine Große‐Brinkhaus Germany	18	302 0.7×	236 0.9×	110 0.5×	120 0.5×	212 1.6×	51	732
Monika Sodhi India	20	685 1.6×	383 1.5×	294 1.2×	149 0.7×	289 2.2×	93	1.2k
Xianwei Liang China	13	259 0.6×	152 0.6×	175 0.7×	92 0.4×	45 0.3×	41	496
Christèle Robert-Granié France	15	455 1.1×	102 0.4×	245 1.0×	83 0.4×	104 0.8×	28	638
Zengkui Lu China	18	448 1.1×	253 1.0×	93 0.4×	263 1.2×	142 1.1×	65	754
Lingzhao Fang China	23	804 1.9×	469 1.8×	271 1.1×	416 1.9×	99 0.8×	84	1.2k
Kuiqing Cui China	14	213 0.5×	368 1.4×	81 0.3×	73 0.3×	64 0.5×	54	651
Tingxian Deng China	12	329 0.8×	156 0.6×	154 0.6×	128 0.6×	117 0.9×	46	537
Jiuqiang Guan China	13	137 0.3×	328 1.3×	74 0.3×	304 1.4×	66 0.5×	27	606

Countries citing papers authored by Yongfu La

Since Specialization

Citations

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

Fields of papers citing papers by Yongfu La

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongfu La

This figure shows the co-authorship network connecting the top 25 collaborators of Yongfu La. A scholar is included among the top collaborators of Yongfu La 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 Yongfu La. Yongfu La 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

La, Yongfu, Xiaoming Ma, Xiaoyun Wu, et al.. (2025). Comparative Analysis of miRNA Expression Profiles of Yak Milk-Derived Exosomes at Different Altitudes. Animals. 15(1). 87–87. 3 indexed citations

Ma, Xiao‐Ming, Chun Huang, Yongfu La, et al.. (2025). Genome-Wide Association Study of Immune Indices in Yaks. Animals. 15(14). 2114–2114.

Zhang, Minghao, Tong Wang, Zhilong Zhang, et al.. (2025). Comparative analysis of growth patterns of Gannan Yak based on nonlinear models. Animal Biotechnology. 36(1). 2465632–2465632.

Zhang, Zhenyu, Xiao‐Ming Ma, Yongfu La, et al.. (2024). Advancements in the Application of scRNA-Seq in Breast Research: A Review. International Journal of Molecular Sciences. 25(24). 13706–13706. 1 indexed citations

Wang, Tong, Xiaoming Ma, Minghao Zhang, et al.. (2024). Study on Single Nucleotide Polymorphism of LAP3 Gene and Its Correlation with Dairy Quality Traits of Gannan Yak. Foods. 13(18). 2953–2953. 4 indexed citations

Yang, Guowu, Rong Ma, Xiaoming Ma, et al.. (2024). Association between Single Nucleotide Polymorphisms of PRKD1 and KCNQ3 Gene and Milk Quality Traits in Gannan Yak (Bos grunniens). Foods. 13(5). 781–781. 3 indexed citations

Ma, Xiaoming, Yongfu La, Xian Guo, et al.. (2024). Polymorphisms of ITGA9 Gene and Their Correlation with Milk Quality Traits in Yak (Bos grunniens). Foods. 13(11). 1613–1613. 3 indexed citations

Ma, Xiaoming, Yongfu La, Xian Guo, et al.. (2024). Genome-Wide Transcriptome Profiling Reveals the Mechanisms Underlying Hepatic Metabolism under Different Raising Systems in Yak. Animals. 14(5). 695–695. 2 indexed citations

Zhang, Chenyang, Yongfu La, Xiaoming Ma, et al.. (2024). The effects of different doses of compound enzyme preparations on the production performance, meat quality and rumen microorganisms of yak were studied by metagenomics and transcriptomics. Frontiers in Microbiology. 15. 1491551–1491551. 2 indexed citations

10.

Wang, Xingdong, Jie Pei, Lin Xiong, et al.. (2024). Genetic diversity, phylogeography, and maternal origin of yak (Bos grunniens). BMC Genomics. 25(1). 481–481. 4 indexed citations

11.

Yang, Guowu, Yongfu La, Xiaoyun Wu, et al.. (2024). Polymorphisms Within the IQGAP2 and CRTAC1 Genes of Gannan Yaks and Their Association with Milk Quality Characteristics. Foods. 13(23). 3720–3720. 2 indexed citations

12.

La, Yongfu, Xiaoming Ma, Pengjia Bao, et al.. (2023). Genome-Wide Landscape of mRNAs, lncRNAs, and circRNAs during Testicular Development of Yak. International Journal of Molecular Sciences. 24(5). 4420–4420. 9 indexed citations

13.

Ma, Xiaoming, Xian Guo, Yongfu La, et al.. (2023). Integrative Analysis of Proteomics and Transcriptomics of Longissimus dorsi with Different Feeding Systems in Yaks. Foods. 12(2). 257–257. 15 indexed citations

14.

Yang, Guowu, Chun Huang, Wenwen Ren, et al.. (2023). Comparative Study on Nutritional Characteristics and Volatile Flavor Substances of Yak Milk in Different Regions of Gannan. Foods. 12(11). 2172–2172. 23 indexed citations

15.

Yang, Guowu, Rong Ma, Xiaoming Ma, et al.. (2023). Polymorphisms of CCSER1 Gene and Their Correlation with Milk Quality Traits in Gannan Yak (Bos grunniens). Foods. 12(23). 4318–4318. 6 indexed citations

16.

Xiong, Lin, Shaoke Guo, Mengli Cao, et al.. (2023). Comparative Analysis of Epididymis Cauda of Yak before and after Sexual Maturity. Animals. 13(8). 1355–1355. 5 indexed citations

17.

Ren, Wenwen, Xiaoming Ma, Yongfu La, et al.. (2022). Association of HSF1 gene copy number variation with growth traits in the Ashidan yak. Gene. 842. 146798–146798. 6 indexed citations

18.

Wang, Xingdong, Jie Pei, Shaoke Guo, et al.. (2022). Characterization of N6-methyladenosine in cattle-yak testis tissue. Frontiers in Veterinary Science. 9. 971515–971515. 7 indexed citations

19.

Chu, Mingxing, Xiangyu Wang, Xiaoyun He, et al.. (2021). Polymorphism Detection of GDF9 Gene and Its Association with Litter Size in Luzhong Mutton Sheep (Ovis aries). Animals. 11(2). 571–571. 38 indexed citations

20.

Liu, Ting, Fadi Li, Weimin Wang, et al.. (2016). Effects of lamb early starter feeding on the expression of genes involved in volatile fatty acid transport and pH regulation in rumen tissue. Animal Feed Science and Technology. 217. 27–35. 13 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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