Feng‐Hua Lv

2.3k total citations
26 papers, 539 citations indexed

About

Feng‐Hua Lv is a scholar working on Genetics, Molecular Biology and Management, Monitoring, Policy and Law. According to data from OpenAlex, Feng‐Hua Lv has authored 26 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 8 papers in Molecular Biology and 4 papers in Management, Monitoring, Policy and Law. Recurrent topics in Feng‐Hua Lv's work include Genetic and phenotypic traits in livestock (15 papers), Genetic diversity and population structure (11 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Feng‐Hua Lv is often cited by papers focused on Genetic and phenotypic traits in livestock (15 papers), Genetic diversity and population structure (11 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Feng‐Hua Lv collaborates with scholars based in China, Iran and Finland. Feng‐Hua Lv's co-authors include Meng-Hua Li, Juha Kantanen, Ji Yang, Xiaoju Hu, Stéphane Joost, Saif Agha, James Kijas, Sylvie Stucki, Paolo Ajmone‐Marsan and Licia Colli and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Feng‐Hua Lv

24 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng‐Hua Lv China 12 418 173 124 71 54 26 539
Chousheng Liu China 7 263 0.6× 129 0.7× 86 0.7× 47 0.7× 63 1.2× 17 382
Lorraine Pariset Italy 20 562 1.3× 97 0.6× 220 1.8× 152 2.1× 108 2.0× 39 782
Saif Agha Egypt 8 285 0.7× 55 0.3× 75 0.6× 44 0.6× 45 0.8× 14 366
TserangDonko Mipam China 12 220 0.5× 117 0.7× 131 1.1× 23 0.3× 31 0.6× 22 362
Sylvie Stucki Switzerland 5 285 0.7× 64 0.4× 54 0.4× 38 0.5× 27 0.5× 6 345
E Guangxin China 12 325 0.8× 109 0.6× 109 0.9× 77 1.1× 64 1.2× 76 432
Arianna Manunza Spain 15 375 0.9× 91 0.5× 78 0.6× 63 0.9× 73 1.4× 38 480
Maulik Upadhyay Germany 12 444 1.1× 115 0.7× 89 0.7× 84 1.2× 65 1.2× 23 504
Ningbo Chen China 18 589 1.4× 307 1.8× 217 1.8× 171 2.4× 140 2.6× 76 826
Kimberly Gietzen Australia 2 704 1.7× 182 1.1× 95 0.8× 115 1.6× 67 1.2× 2 775

Countries citing papers authored by Feng‐Hua Lv

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Hua Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Hua Lv. 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 Feng‐Hua Lv. The network helps show where Feng‐Hua Lv may publish in the future.

Co-authorship network of co-authors of Feng‐Hua Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Feng‐Hua Lv. A scholar is included among the top collaborators of Feng‐Hua Lv 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 Feng‐Hua Lv. Feng‐Hua Lv 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.
Cui, Ran, et al.. (2025). Gut Microbiota-Bile Acid Crosstalk Contributes to Meat Quality and Carcass Traits of Tan and Dorper Sheep. International Journal of Molecular Sciences. 26(13). 6224–6224.
2.
Orozco‐terWengel, Pablo, et al.. (2025). Genomic analyses of Asiatic Mouflon in Iran provide insights into the domestication and evolution of sheep. Genetics Selection Evolution. 57(1). 31–31.
3.
Liu, Jiaxin, et al.. (2024). The goat pan-genome reveals patterns of gene loss during domestication. Journal of Animal Science and Biotechnology. 15(1). 132–132. 3 indexed citations
4.
Lv, Feng‐Hua, et al.. (2024). Deep Ancestral Introgressions between Ovine Species Shape Sheep Genomes via Argali-Mediated Gene Flow. Molecular Biology and Evolution. 41(11). 1 indexed citations
5.
Yan, Ze, Ji Yang, Mingliang Zhou, et al.. (2024). A time-resolved multi-omics atlas of transcriptional regulation in response to high-altitude hypoxia across whole-body tissues. Nature Communications. 15(1). 3970–3970. 17 indexed citations
6.
Salehian-Dehkordi, Hosein, N. Pirany, Hossein Mehrban, et al.. (2023). Genomic Landscape of Copy Number Variations and Their Associations with Climatic Variables in the World’s Sheep. Genes. 14(6). 1256–1256. 8 indexed citations
7.
Wan, Xing, et al.. (2023). Whole-genome selective scans detect genes associated with important phenotypic traits in goat (Capra hircus). Frontiers in Genetics. 14. 1173017–1173017. 8 indexed citations
8.
Xu, Yaxi, Bo Wang, Rui Ma, et al.. (2023). Whole-body adipose tissue multi-omic analyses in sheep reveal molecular mechanisms underlying local adaptation to extreme environments. Communications Biology. 6(1). 159–159. 35 indexed citations
9.
Salehian-Dehkordi, Hosein, et al.. (2023). Impacts of Population Size and Domestication Process on Genetic Diversity and Genetic Load in Genus Ovis. Genes. 14(10). 1977–1977. 3 indexed citations
10.
Deng, Juan, Yajing Liu, Liping Zhao, et al.. (2023). Single-cell transcriptome and metagenome profiling reveals the genetic basis of rumen functions and convergent developmental patterns in ruminants. Genome Research. 33(10). 1690–1707. 9 indexed citations
11.
Денискова, Т. Е., Ali Esmailizadeh, А. В. Доцев, et al.. (2022). A Search for Eurasian Sheep Relationships: Genomic Assessment of the Autochthonous Sheep Breeds in Russia and the Persian Plateau. Diversity. 14(6). 445–445. 1 indexed citations
12.
Cui, Ran, Xiaolong Kang, Yufang Liu, et al.. (2022). Integrated analysis of the whole transcriptome of skeletal muscle reveals the ceRNA regulatory network related to the formation of muscle fibers in Tan sheep. Frontiers in Genetics. 13. 991606–991606. 11 indexed citations
13.
Liu, Dongling, Xiang Zeng, Zufeng Ding, et al.. (2021). Adverse Cardiovascular Effects of Anti-COVID-19 Drugs. Frontiers in Pharmacology. 12. 699949–699949. 19 indexed citations
14.
15.
Salehian-Dehkordi, Hosein, Yaxi Xu, Songsong Xu, et al.. (2021). Genome-Wide Detection of Copy Number Variations and Their Association With Distinct Phenotypes in the World’s Sheep. Frontiers in Genetics. 12. 670582–670582. 17 indexed citations
16.
Zhang, Min, Weifeng Peng, Xiaoju Hu, et al.. (2018). Global genomic diversity and conservation priorities for domestic animals are associated with the economies of their regions of origin. Scientific Reports. 8(1). 11677–11677. 21 indexed citations
17.
Xu, Songsong, Feng‐Hua Lv, Yingjun Zhao, et al.. (2017). A genome‐wide association study reveals candidate genes for the supernumerary nipple phenotype in sheep (Ovis aries). Animal Genetics. 48(5). 570–579. 22 indexed citations
18.
Lv, Feng‐Hua, Saif Agha, Juha Kantanen, et al.. (2014). Adaptations to Climate-Mediated Selective Pressures in Sheep. Molecular Biology and Evolution. 31(12). 3324–3343. 124 indexed citations
19.
20.

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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