Nasir Moghaddar

767 total citations
34 papers, 434 citations indexed

About

Nasir Moghaddar is a scholar working on Genetics, Agronomy and Crop Science and Cancer Research. According to data from OpenAlex, Nasir Moghaddar has authored 34 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Genetics, 9 papers in Agronomy and Crop Science and 7 papers in Cancer Research. Recurrent topics in Nasir Moghaddar's work include Genetic and phenotypic traits in livestock (34 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers) and Cancer-related molecular mechanisms research (7 papers). Nasir Moghaddar is often cited by papers focused on Genetic and phenotypic traits in livestock (34 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers) and Cancer-related molecular mechanisms research (7 papers). Nasir Moghaddar collaborates with scholars based in Australia, South Korea and Canada. Nasir Moghaddar's co-authors include J. H. J. van der Werf, Andrew Swan, Hans D. Daetwyler, Naomi Duijvesteijn, Sunduimijid Bolormaa, Iona M. MacLeod, Sam Clark, Majid Khansefid, Sang Lee and D. J. Brown and has published in prestigious journals such as PLoS ONE, Journal of Animal Science and Frontiers in Genetics.

In The Last Decade

Nasir Moghaddar

33 papers receiving 431 citations

Peers

Nasir Moghaddar
Yao Jiang China
Dzianis Prakapenka United States
Chad Harland New Zealand
Eva M. Strucken Australia
Xiangdong Ding China
Mohsen Jafarikia Canada
Maren van Son Norway
Mahlako L. Makgahlela South Africa
Christian Edel Germany
Beat Bapst Switzerland
Yao Jiang China
Nasir Moghaddar
Citations per year, relative to Nasir Moghaddar Nasir Moghaddar (= 1×) peers Yao Jiang

Countries citing papers authored by Nasir Moghaddar

Since Specialization
Citations

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

Fields of papers citing papers by Nasir Moghaddar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasir Moghaddar

This figure shows the co-authorship network connecting the top 25 collaborators of Nasir Moghaddar. A scholar is included among the top collaborators of Nasir Moghaddar 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 Nasir Moghaddar. Nasir Moghaddar 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.
2.
Clark, Sam, et al.. (2022). Genomic analysis of the slope of the reaction norm for body weight in Australian sheep. Genetics Selection Evolution. 54(1). 40–40. 8 indexed citations
3.
Duijvesteijn, Naomi, et al.. (2021). Accuracy of Genomic Prediction for Milk Production Traits in Philippine Dairy Buffaloes. Frontiers in Genetics. 12. 682576–682576. 9 indexed citations
4.
Bolormaa, Sunduimijid, Andrew Swan, Paul Stothard, et al.. (2021). A conditional multi-trait sequence GWAS discovers pleiotropic candidate genes and variants for sheep wool, skin wrinkle and breech cover traits. Genetics Selection Evolution. 53(1). 58–58. 15 indexed citations
5.
Lopez, Bryan Irvine, Nasir Moghaddar, Woncheoul Park, et al.. (2020). Use of gene expression and whole-genome sequence information to improve the accuracy of genomic prediction for carcass traits in Hanwoo cattle. Genetics Selection Evolution. 52(1). 54–54. 32 indexed citations
6.
Bolormaa, Sunduimijid, Amanda J. Chamberlain, Majid Khansefid, et al.. (2019). Accuracy of imputation to whole-genome sequence in sheep. Genetics Selection Evolution. 51(1). 1–1. 43 indexed citations
7.
Gibson, John P., Naomi Duijvesteijn, Hans D. Daetwyler, et al.. (2019). Using imputed whole-genome sequence data to improve the accuracy of genomic prediction for parasite resistance in Australian sheep. Genetics Selection Evolution. 51(1). 32–32. 31 indexed citations
8.
Moghaddar, Nasir, Majid Khansefid, J. H. J. van der Werf, et al.. (2019). Genomic prediction based on selected variants from imputed whole-genome sequence data in Australian sheep populations. Genetics Selection Evolution. 51(1). 72–72. 59 indexed citations
9.
Gowane, G. R., et al.. (2018). Optimising bias and accuracy in genomic prediction of breeding values. RUNE (Research UNE). 117. 1 indexed citations
10.
Khansefid, Majid, Sunduimijid Bolormaa, Andrew Swan, et al.. (2018). Exploiting sequence variants for genomic prediction in Australian sheep using Bayesian models. RUNE (Research UNE). 253. 2 indexed citations
11.
Moghaddar, Nasir, Iona M. MacLeod, Naomi Duijvesteijn, et al.. (2018). Genomic evaluation based on selected variants from imputed whole-genome sequence data in Australian sheep populations. RUNE (Research UNE). 456. 4 indexed citations
12.
Duijvesteijn, Naomi, Sunduimijid Bolormaa, Cedric Gondro, et al.. (2018). Genome-wide association study of meat quality traits using whole-genome sequence data in a multi-breed sheep population. Proceedings of the World Congress on Genetics Applied to Livestock Production. 257. 4 indexed citations
13.
Bolormaa, Sunduimijid, Andrew Swan, D. J. Brown, et al.. (2017). Multiple-trait QTL mapping and genomic prediction for wool traits in sheep. Genetics Selection Evolution. 49(1). 62–62. 33 indexed citations
14.
Moghaddar, Nasir, Andrew Swan, & J. H. J. van der Werf. (2017). Genomic prediction from observed and imputed high-density ovine genotypes. Genetics Selection Evolution. 49(1). 40–40. 10 indexed citations
15.
Moghaddar, Nasir, et al.. (2017). Gene by Birth Type Interaction in Merino Lamb. 1 indexed citations
16.
Moghaddar, Nasir & J. H. J. van der Werf. (2017). Genomic estimation of additive and dominance effects and impact of accounting for dominance on accuracy of genomic evaluation in sheep populations. Journal of Animal Breeding and Genetics. 134(6). 453–462. 24 indexed citations
17.
Strucken, Eva M., et al.. (2016). Local and global patterns of admixture and population structure in Iranian native cattle. BMC Genetics. 17(1). 108–108. 22 indexed citations
18.
19.
Moghaddar, Nasir, Andrew Swan, & J. H. J. van der Werf. (2014). Comparing genomic prediction accuracy from purebred, crossbred and combined purebred and crossbred reference populations in sheep. Genetics Selection Evolution. 46(1). 58–58. 30 indexed citations
20.
Moghaddar, Nasir, K. Marshall, & J. H. J. van der Werf. (2006). Quantitative trait loci mapping for growth and wool traits in Australian Merino sheep.. RUNE (Research UNE). 5–10. 1 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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