Langqing Liu

401 total citations
19 papers, 241 citations indexed

About

Langqing Liu is a scholar working on Genetics, Animal Science and Zoology and Small Animals. According to data from OpenAlex, Langqing Liu has authored 19 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 6 papers in Animal Science and Zoology and 5 papers in Small Animals. Recurrent topics in Langqing Liu's work include Genetic and phenotypic traits in livestock (12 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Animal Behavior and Welfare Studies (5 papers). Langqing Liu is often cited by papers focused on Genetic and phenotypic traits in livestock (12 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Animal Behavior and Welfare Studies (5 papers). Langqing Liu collaborates with scholars based in China, Netherlands and Indonesia. Langqing Liu's co-authors include Hai Xiang, Xingbo Zhao, Martien A. M. Groenen, Jikun Wang, Hendrik‐Jan Megens, Mirte Bosse, Ole Madsen, Tao Yin, Siyu Chen and Hui Zhang and has published in prestigious journals such as Nature Communications, Scientific Reports and Molecular Biology and Evolution.

In The Last Decade

Langqing Liu

17 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Langqing Liu China 10 115 74 71 33 28 19 241
Guangxiang Zhu China 7 83 0.7× 37 0.5× 119 1.7× 22 0.7× 7 0.3× 37 242
A. Tircazes France 6 124 1.1× 148 2.0× 38 0.5× 49 1.5× 65 2.3× 7 265
Panoraia Alexandri Greece 8 255 2.2× 57 0.8× 48 0.7× 64 1.9× 44 1.6× 12 319
Evans K. Cheruiyot Australia 10 171 1.5× 129 1.7× 24 0.3× 33 1.0× 28 1.0× 15 289
Saif Agha Egypt 8 285 2.5× 45 0.6× 75 1.1× 22 0.7× 18 0.6× 14 366
Robert Mukiibi United Kingdom 12 234 2.0× 60 0.8× 80 1.1× 17 0.5× 25 0.9× 26 346
Hai‐Bing Xie China 9 176 1.5× 31 0.4× 123 1.7× 21 0.6× 7 0.3× 19 302
Marnoch Yindee Thailand 8 128 1.1× 34 0.5× 31 0.4× 33 1.0× 13 0.5× 21 191
Anne Da Silva France 9 228 2.0× 33 0.4× 50 0.7× 39 1.2× 6 0.2× 18 294
Romain Saintilan France 10 249 2.2× 153 2.1× 36 0.5× 20 0.6× 48 1.7× 18 339

Countries citing papers authored by Langqing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Langqing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Langqing Liu

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

All Works

19 of 19 papers shown
1.
Liu, Langqing, Shiyuan Wang, Zebin Zhang, et al.. (2025). Cell-cell communication-mediated cell-type-specific parent-of-origin effects in mammals. Nature Communications. 16(1). 5106–5106.
2.
Hong, Linjun, Shanshan Wang, Langqing Liu, et al.. (2025). Rewiring of 3D chromatin topology orchestrates transcriptional reprogramming in muscle fiber-type specification and transformation. Nature Communications. 16(1). 5833–5833. 3 indexed citations
3.
Zhuang, Zhanwei, Jinyan Huang, Xiang Zhao, et al.. (2025). A Comparative Study of Optimizing Genomic Prediction Accuracy in Commercial Pigs. Animals. 15(7). 966–966. 1 indexed citations
4.
5.
Qiu, Yibin, Langqing Liu, Min Huang, et al.. (2025). Origins, Dispersal, and Impact: Bidirectional Introgression Between Chinese and European Pig Populations. Advanced Science. 12(22). e2416573–e2416573. 1 indexed citations
6.
Zhang, Zebin, Langqing Liu, Jie Yang, et al.. (2023). Increased Accuracy of Genomic Prediction Using Preselected SNPs from GWAS with Imputed Whole-Genome Sequence Data in Pigs. Animals. 13(24). 3871–3871. 10 indexed citations
7.
Quan, Jianping, Donglin Ruan, Yibin Qiu, et al.. (2023). Identification of Candidate Genes for Economically Important Carcass Cutting in Commercial Pigs through GWAS. Animals. 13(20). 3243–3243. 3 indexed citations
8.
Liu, Langqing, et al.. (2022). Unique genetic signature and selection footprints in Dutch population of German Longhaired Pointer dogs. Animal Genetics. 53(6). 829–840. 4 indexed citations
9.
Liu, Langqing, Hendrik‐Jan Megens, R.P.M.A. Crooijmans, et al.. (2022). The Visayan Warty Pig (Sus cebifrons) Genome Provides Insight Into Chromosome Evolution and Sensory Adaptation in Pigs. Molecular Biology and Evolution. 39(6). 5 indexed citations
10.
Bastiaansen, J.W.M., Langqing Liu, Imron Imron, et al.. (2022). Genomic analysis of a Nile tilapia strain selected for salinity tolerance shows signatures of selection and hybridization with blue tilapia (Oreochromis aureus). Aquaculture. 560. 738527–738527. 13 indexed citations
11.
Xiang, Hai, Siyu Chen, Hui Zhang, et al.. (2021). Removal of roosters alters the domestic phenotype and microbial and genetic profile of hens. Science China Life Sciences. 64(11). 1964–1976. 6 indexed citations
12.
Wu, Zhou, Chiara Bortoluzzi, Martijn F. L. Derks, et al.. (2020). Heterogeneity of a dwarf phenotype in Dutch traditional chicken breeds revealed by genomic analyses. Evolutionary Applications. 14(4). 1095–1108. 10 indexed citations
13.
Liu, Langqing, et al.. (2020). Genetic consequences of long‐term small effective population size in the critically endangered pygmy hog. Evolutionary Applications. 14(3). 710–720. 24 indexed citations
14.
Liu, Langqing, Mirte Bosse, Hendrik‐Jan Megens, et al.. (2019). Genomic analysis on pygmy hog reveals extensive interbreeding during wild boar expansion. Nature Communications. 10(1). 1992–1992. 31 indexed citations
15.
Chen, Siyu, Hai Xiang, Hui Zhang, et al.. (2019). Rearing system causes changes of behavior, microbiome, and gene expression of chickens. Poultry Science. 98(9). 3365–3376. 44 indexed citations
16.
Chen, Siyu, Hai Xiang, Xu Zhu, et al.. (2018). Free Dietary Choice and Free-Range Rearing Improve the Product Quality, Gait Score, and Microbial Richness of Chickens. Animals. 8(6). 84–84. 27 indexed citations
17.
Xiang, Hai, Siyu Chen, Hui Zhang, et al.. (2018). Transcriptome changes provide genetic insights into the effects of rearing systems on chicken welfare and product quality. Journal of Animal Science. 96(11). 4552–4561. 9 indexed citations
18.
Wang, Jikun, et al.. (2017). Mitochondrial haplotypes influence metabolic traits across bovine inter- and intra-species cybrids. Scientific Reports. 7(1). 4179–4179. 17 indexed citations
19.
Xiang, Hai, Dawei Cai, Yunbing Luo, et al.. (2017). Origin and dispersal of early domestic pigs in northern China. Scientific Reports. 7(1). 5602–5602. 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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