Hongding Gao

737 total citations
27 papers, 534 citations indexed

About

Hongding Gao is a scholar working on Genetics, Plant Science and Animal Science and Zoology. According to data from OpenAlex, Hongding Gao has authored 27 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 13 papers in Plant Science and 5 papers in Animal Science and Zoology. Recurrent topics in Hongding Gao's work include Genetic and phenotypic traits in livestock (26 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers) and Genetics and Plant Breeding (13 papers). Hongding Gao is often cited by papers focused on Genetic and phenotypic traits in livestock (26 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers) and Genetics and Plant Breeding (13 papers). Hongding Gao collaborates with scholars based in Denmark, China and Finland. Hongding Gao's co-authors include Guosheng Su, Mogens Sandø Lund, Per Madsen, U. Nielsen, Ole Fredslund Christensen, Yuan Zhang, Ying Zhang, Jennifer M.C. Van Os, K. G. Gebremedhin and Luc Janss and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and BMC Genomics.

In The Last Decade

Hongding Gao

27 papers receiving 527 citations

Peers

Hongding Gao

GENET

ASZ

ACS

Leandro Lunardini Cardoso Brazil

Chang–Gwon Dang South Korea

Mehdi Bohlouli Germany

Ana Fabrícia Braga Magalhães Brazil

Hervé Lagant France

Takuro Oikawa Japan

Chad Harland New Zealand

Rafael Espigolan Brazil

Sanjeev Singh India

Adam Abied China

Leandro Lunardini Cardoso Brazil

Hongding Gao

205 ×0.5

GENET

73 ×0.5

145 ×1.0

ASZ

94 ×1.1

ACS

26 ×0.3

Citations per year, relative to Hongding Gao Hongding Gao (= 1×) peers Leandro Lunardini Cardoso

Countries citing papers authored by Hongding Gao

Since Specialization

Citations

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

Fields of papers citing papers by Hongding Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongding Gao

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

Strandén, Ismo, Esa Mäntysaari, Martin Lidauer, R. Thompson, & Hongding Gao. (2024). A computationally efficient algorithm to leverage average information REML for (co)variance component estimation in the genomic era. Genetics Selection Evolution. 56(1). 73–73. 1 indexed citations

Gao, Hongding, et al.. (2023). A computationally efficient method for approximating reliabilities in large-scale single-step genomic prediction. Genetics Selection Evolution. 55(1). 1–1. 4 indexed citations

Jiang, Yifan, Hailiang Song, Hongding Gao, Qin Zhang, & Xiangdong Ding. (2022). Exploring the optimal strategy of imputation from SNP array to whole-genome sequencing data in farm animals. Frontiers in Genetics. 13. 963654–963654. 11 indexed citations

Gao, Hongding, et al.. (2021). Genotype by climate zone interactions for fertility, somatic cell score, and production in Iranian Holsteins. Journal of Dairy Science. 104(12). 12994–13007. 2 indexed citations

Gao, Hongding, Guosheng Su, Just Jensen, et al.. (2021). Genetic parameters and genomic prediction for feed intake recorded at the group and individual level in different production systems for growing pigs. Genetics Selection Evolution. 53(1). 33–33. 4 indexed citations

Yang, Li, Lei Pu, Liangyu Shi, et al.. (2021). Revealing New Candidate Genes for Teat Number Relevant Traits in Duroc Pigs Using Genome-Wide Association Studies. Animals. 11(3). 806–806. 17 indexed citations

Christensen, Ole Fredslund, Hongding Gao, Ruihua Huang, et al.. (2020). Prediction of breeding values for group-recorded traits including genomic information and an individually recorded correlated trait. Heredity. 126(1). 206–217. 7 indexed citations

Christensen, Ole Fredslund, Hongding Gao, Ruihua Huang, et al.. (2020). Correction: Prediction of breeding values for group-recorded traits including genomic information and an individually recorded correlated trait. Heredity. 126(1). 218–218. 3 indexed citations

Gao, Hongding, Per Madsen, Gert Pedersen Aamand, et al.. (2019). Bias in estimates of variance components in populations undergoing genomic selection: a simulation study. BMC Genomics. 20(1). 956–956. 15 indexed citations

10.

Fan, Hongying, Yali Hou, Goutam Sahana, et al.. (2019). A Transcriptomic Study of the Tail Fat Deposition in Two Types of Hulun Buir Sheep According to Tail Size and Sex. Animals. 9(9). 655–655. 14 indexed citations

11.

Zhang, Tongyu, Hongding Gao, Goutam Sahana, et al.. (2019). Genome‐wide association studies revealed candidate genes for tail fat deposition and body size in the Hulun Buir sheep. Journal of Animal Breeding and Genetics. 136(5). 362–370. 38 indexed citations

12.

Wang, Xiaoshuai, Hongding Gao, K. G. Gebremedhin, et al.. (2018). A predictive model of equivalent temperature index for dairy cattle (ETIC). Journal of Thermal Biology. 76. 165–170. 72 indexed citations

13.

Ma, Peipei, Ju Huang, Xiujin Li, et al.. (2018). The impact of genomic relatedness between populations on the genomic estimated breeding values. Journal of Animal Science and Biotechnology. 9(1). 64–64. 6 indexed citations

14.

Gao, Hongding, Per Madsen, J. Pösö, et al.. (2018). Short communication: Multivariate outlier detection for routine Nordic dairy cattle genetic evaluation in the Nordic Holstein and Red population. Journal of Dairy Science. 101(12). 11159–11164. 3 indexed citations

15.

Gao, Hongding, Minna Koivula, Just Jensen, et al.. (2018). Short communication: Genomic prediction using different single-step methods in the Finnish red dairy cattle population. Journal of Dairy Science. 101(11). 10082–10088. 15 indexed citations

16.

Song, Hailiang, Jibin Zhang, Yao Jiang, et al.. (2017). Genomic prediction for growth and reproduction traits in pig using an admixed reference population1. Journal of Animal Science. 95(8). 3415–3424. 40 indexed citations

17.

Gao, Hongding, Per Madsen, U. Nielsen, et al.. (2015). Including different groups of genotyped females for genomic prediction in a Nordic Jersey population. Journal of Dairy Science. 98(12). 9051–9059. 15 indexed citations

18.

Gao, Hongding. (2014). Multivariate outlier detection in genetic evaluation in Nordic Jersey cattle. Jukuri (Natural Resources Institute Finland (Luke)). 1 indexed citations

19.

Gao, Hongding, Guosheng Su, Luc Janss, Ying Zhang, & Mogens Sandø Lund. (2013). Model comparison on genomic predictions using high-density markers for different groups of bulls in the Nordic Holstein population. Journal of Dairy Science. 96(7). 4678–4687. 48 indexed citations

20.

Gao, Hongding, Ole Fredslund Christensen, Per Madsen, et al.. (2012). Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population. Genetics Selection Evolution. 44(1). 8–8. 123 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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