Fuping Zhao

3.2k total citations
72 papers, 1.9k citations indexed

About

Fuping Zhao is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Fuping Zhao has authored 72 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Genetics, 28 papers in Cancer Research and 26 papers in Molecular Biology. Recurrent topics in Fuping Zhao's work include Genetic and phenotypic traits in livestock (42 papers), Genetic Mapping and Diversity in Plants and Animals (37 papers) and Cancer-related molecular mechanisms research (28 papers). Fuping Zhao is often cited by papers focused on Genetic and phenotypic traits in livestock (42 papers), Genetic Mapping and Diversity in Plants and Animals (37 papers) and Cancer-related molecular mechanisms research (28 papers). Fuping Zhao collaborates with scholars based in China, Denmark and United States. Fuping Zhao's co-authors include Lixin Du, Caihong Wei, Lixian Wang, Ruizao Liu, Huihua Wang, S. McParland, F. Kearney, D.P. Berry, Liangyu Shi and Lingyang Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Fuping Zhao

71 papers receiving 1.9k citations

Peers

Fuping Zhao

GENET

ASZ

Lixin Du China

Iona M. MacLeod Australia

Gwenola Tosser‐Klopp France

Marina R. S. Fortes Australia

Ran Di China

Shinji Sasazaki Japan

Chunnian Liang China

Pengjia Bao China

Aline Silva Mello César Brazil

Mathew D. Littlejohn New Zealand

Lixin Du China

Fuping Zhao

1.1k ×0.8

GENET

532 ×0.9

627 ×1.2

188 ×0.7

ASZ

171 ×0.7

Citations per year, relative to Fuping Zhao Fuping Zhao (= 1×) peers Lixin Du

Countries citing papers authored by Fuping Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Fuping Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuping Zhao

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

Zhao, Fuping, Rui Xie, Lingzhao Fang, et al.. (2024). Analysis of 206 whole‐genome resequencing reveals selection signatures associated with breed‐specific traits in Hu sheep. Evolutionary Applications. 17(6). e13697–e13697. 12 indexed citations

Wang, Jinbu, et al.. (2024). Using mixed kernel support vector machine to improve the predictive accuracy of genome selection. Journal of Integrative Agriculture. 25(2). 775–787. 4 indexed citations

Hou, Xinhua, Run Zhang, Man Yang, et al.. (2023). Characteristics of Transcriptome and Metabolome Concerning Intramuscular Fat Content in Beijing Black Pigs. Journal of Agricultural and Food Chemistry. 71(42). 15874–15883. 8 indexed citations

Zhao, Fuping, Pengfei Zhang, Xiaoqing Wang, et al.. (2023). Genetic gain and inbreeding from simulation of different genomic mating schemes for pig improvement. Journal of Animal Science and Biotechnology. 14(1). 87–87. 9 indexed citations

Shi, Liangyu, Ligang Wang, Lingzhao Fang, et al.. (2022). Integrating genome-wide association studies and population genomics analysis reveals the genetic architecture of growth and backfat traits in pigs. Frontiers in Genetics. 13. 1078696–1078696. 9 indexed citations

Zhang, Run, Xinhua Hou, Ligang Wang, et al.. (2022). Characterization and difference of lipids and metabolites from Jianhe White Xiang and Large White pork by high-performance liquid chromatography–tandem mass spectrometry. Food Research International. 162(Pt A). 111946–111946. 26 indexed citations

Jiang, Yao, Xiaojin Li, Jiali Liu, et al.. (2022). Genome-wide detection of genetic structure and runs of homozygosity analysis in Anhui indigenous and Western commercial pig breeds using PorcineSNP80k data. BMC Genomics. 23(1). 373–373. 15 indexed citations

Shi, Lijun, Longchao Zhang, Ligang Wang, et al.. (2021). Identifying long non-coding RNAs and characterizing their functional roles in swine mammary gland from colostrogenesis to lactogenesis. Animal Bioscience. 35(6). 814–825. 2 indexed citations

Tao, Lin, et al.. (2021). Genome‐wide association study and inbreeding depression on body size traits in Qira black sheep (Ovis aries). Animal Genetics. 52(4). 560–564. 14 indexed citations

10.

Zhang, Longchao, Ligang Wang, Fuping Zhao, et al.. (2021). A Comparison of the Behavior, Physiology, and Offspring Resilience of Gestating Sows When Raised in a Group Housing System and Individual Stalls. Animals. 11(7). 2076–2076. 7 indexed citations

11.

Wang, Ligang, Lingling Zhao, Longchao Zhang, et al.. (2019). NTN1 Affects Porcine Intramuscular Fat Content by Affecting the Expression of Myogenic Regulatory Factors. Animals. 9(9). 609–609. 8 indexed citations

12.

Li, Mingna, et al.. (2019). Detection of copy number variation and selection signatures on the X chromosome in Chinese indigenous sheep with different types of tail. Asian-Australasian Journal of Animal Sciences. 33(9). 1378–1386. 12 indexed citations

13.

Wang, Huihua, Li Zhang, Mingming Wu, et al.. (2015). Genome-Wide Specific Selection in Three Domestic Sheep Breeds. PLoS ONE. 10(6). e0128688–e0128688. 56 indexed citations

14.

Fan, Hongying, Fuping Zhao, Fadi Li, et al.. (2015). Complete Mitochondrial Genome Sequences of Chinese Indigenous Sheep with Different Tail Types and an Analysis of Phylogenetic Evolution in Domestic Sheep. Asian-Australasian Journal of Animal Sciences. 29(5). 631–639. 3 indexed citations

15.

Guo, Gang, et al.. (2014). Comparison of single-trait and multiple-trait genomic prediction models. BMC Genetics. 15(1). 30–30. 151 indexed citations

16.

Xu, Lingyang, Fuping Zhao, Hangxing Ren, et al.. (2014). Co-Expression Analysis of Fetal Weight-Related Genes in Ovine Skeletal Muscle during Mid and Late Fetal Development Stages. International Journal of Biological Sciences. 10(9). 1039–1050. 14 indexed citations

17.

Zhang, Shifang, Fuping Zhao, Xihui Sheng, et al.. (2013). Identification and Characterization of the miRNA Transcriptome of Ovis aries. PLoS ONE. 8(3). e58905–e58905. 30 indexed citations

18.

Lü, Jian, Caihong Wei, Xiao‐Ning Zhang, et al.. (2013). The effect of myostatin silencing by lentiviral-mediated RNA interference on goat fetal fibroblasts. Molecular Biology Reports. 40(6). 4101–4108. 13 indexed citations

19.

Lü, Jian, Hangxing Ren, Xihui Sheng, et al.. (2012). Transcript characteristic of myostatin in sheep fibroblasts. Journal of Cellular Biochemistry. 113(8). 2652–2660. 2 indexed citations

20.

Xu, Jingjing, Xiaotian Qiu, Zhipeng Wang, et al.. (2009). Effects of heat shock on ovary development and hsp83 expression in Tribolium castaneum (Coleoptera: Tenebrionidae). Archives of Insect Biochemistry and Physiology. 70(3). 204–216. 15 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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