N. Deeb

2.2k total citations
46 papers, 1.7k citations indexed

About

N. Deeb is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, N. Deeb has authored 46 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 24 papers in Animal Science and Zoology and 10 papers in Molecular Biology. Recurrent topics in N. Deeb's work include Genetic and phenotypic traits in livestock (23 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Animal Nutrition and Physiology (19 papers). N. Deeb is often cited by papers focused on Genetic and phenotypic traits in livestock (23 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Animal Nutrition and Physiology (19 papers). N. Deeb collaborates with scholars based in United States, Israel and United Kingdom. N. Deeb's co-authors include A. Cahaner, S.J. Lamont, Huaijun Zhou, Christopher M. Ashwell, Susan J. Lamont, C.M. Evock-Clover, Steven M. Lonergan, Alan Archibald, David Hume and A. Shlosberg and has published in prestigious journals such as Gut, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

N. Deeb

41 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Deeb United States 22 990 730 280 188 155 46 1.7k
Zhuocheng Hou China 21 516 0.5× 573 0.8× 520 1.9× 210 1.1× 55 0.4× 81 1.5k
Behnam Abasht United States 23 1.2k 1.2× 577 0.8× 502 1.8× 117 0.6× 60 0.4× 42 1.7k
Lujiang Qu China 27 1.1k 1.1× 1.1k 1.5× 649 2.3× 155 0.8× 74 0.5× 129 2.3k
Anna Wolc United States 23 877 0.9× 1.4k 1.9× 184 0.7× 425 2.3× 66 0.4× 138 2.1k
Kari Elo Finland 19 399 0.4× 1.1k 1.5× 224 0.8× 250 1.3× 50 0.3× 44 1.5k
Mônica Corrêa Ledur Brazil 24 896 0.9× 1.0k 1.4× 397 1.4× 206 1.1× 36 0.2× 118 1.7k
Cece Sumantri Indonesia 18 510 0.5× 520 0.7× 372 1.3× 102 0.5× 38 0.2× 296 1.5k
T.H.E. Meuwissen Norway 11 414 0.4× 1.3k 1.8× 121 0.4× 340 1.8× 61 0.4× 18 1.6k
L. Buttazzoni Italy 23 642 0.6× 1.0k 1.4× 356 1.3× 101 0.5× 40 0.3× 86 1.7k
E. Kalm Germany 31 1.2k 1.2× 2.2k 3.0× 534 1.9× 368 2.0× 45 0.3× 150 3.2k

Countries citing papers authored by N. Deeb

Since Specialization
Citations

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

Fields of papers citing papers by N. Deeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Deeb

This figure shows the co-authorship network connecting the top 25 collaborators of N. Deeb. A scholar is included among the top collaborators of N. Deeb 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 N. Deeb. N. Deeb 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.
Johnson, J. W., et al.. (2024). Genomic evaluation of residual feed intake in US Holstein cows: insights into lifetime feed efficiency. Frontiers in Genetics. 15. 1462306–1462306.
2.
Kyriazakis, I., Jack C. M. Dekkers, Andrew S. Hess, et al.. (2017). Use of multi-trait and random regression models to identify genetic variation in tolerance to porcine reproductive and respiratory syndrome virus. Genetics Selection Evolution. 49(1). 37–37. 34 indexed citations
3.
Warr, Amanda, Christelle Robert, David Hume, et al.. (2015). Identification of Low-Confidence Regions in the Pig Reference Genome (Sscrofa10.2). Frontiers in Genetics. 6. 338–338. 22 indexed citations
4.
Robert, Christelle, Pablo Fuentes‐Utrilla, Frances Turner, et al.. (2014). Design and development of exome capture sequencing for the domestic pig (Sus scrofa). BMC Genomics. 15(1). 550–550. 20 indexed citations
5.
6.
Deeb, N.. (2012). Genomic Selection in Pigs: Are We There Yet ?. 2 indexed citations
7.
Cleveland, Matthew A. & N. Deeb. (2012). Selecting Markers and Evaluating Coverage. Methods in molecular biology. 871. 55–71.
8.
9.
Cleveland, Matthew A. & N. Deeb. (2009). Evaluation of a genome-wide approach to multiple marker association considering different marker densities. BMC Proceedings. 3(S1). S5–S5. 6 indexed citations
10.
Yu, Mei, et al.. (2007). Investigation of TXNIP (thioredoxin-interacting protein) and TRX (thioredoxin) genes for growth-related traits in pigs. Mammalian Genome. 18(3). 197–209. 17 indexed citations
11.
Kinghorn, Brian, et al.. (2006). Visually-aided interpretation of results from a genome scan.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 30(4). 313–6. 2 indexed citations
12.
Zhou, Huaijun, N. Deeb, C.M. Evock-Clover, Christopher M. Ashwell, & S.J. Lamont. (2006). Genome-Wide Linkage Analysis to Identify Chromosomal Regions Affecting Phenotypic Traits in the Chicken. I. Growth and Average Daily Gain. Poultry Science. 85(10). 1700–1711. 55 indexed citations
13.
Yu, Mei, et al.. (2006). Liver X receptor alpha and beta genes have the potential role on loin lean and fat content in pigs. Journal of Animal Breeding and Genetics. 123(2). 81–88. 18 indexed citations
14.
Lonergan, Steven M., et al.. (2003). Breast meat quality and composition in unique chicken populations. Poultry Science. 82(12). 1990–1994. 129 indexed citations
15.
Deeb, N. & Susan J. Lamont. (2003). Use of a novel outbred by inbred F1 cross to detect genetic markers for growth. Animal Genetics. 34(3). 205–212. 17 indexed citations
16.
Li, H., et al.. (2003). Chicken quantitative trait loci for growth and body composition associated with transforming growth factor-beta genes. Poultry Science. 82(3). 347–356. 91 indexed citations
17.
18.
19.
Shlosberg, A., Michel Bellaiche, E. Berman, et al.. (1998). Relationship between broiler chicken haematocrit-selected parents and their progeny, with regard to haematocrit, mortality from ascites and bodyweight. Research in Veterinary Science. 64(2). 105–109. 30 indexed citations
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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhuocheng Hou Breakdown of academic impact, for papers by Behnam Abasht Breakdown of academic impact, for papers by Lujiang Qu Breakdown of academic impact, for papers by Anna Wolc Breakdown of academic impact, for papers by Kari Elo Breakdown of academic impact, for papers by Mônica Corrêa Ledur Breakdown of academic impact, for papers by Cece Sumantri Breakdown of academic impact, for papers by T.H.E. Meuwissen Breakdown of academic impact, for papers by L. Buttazzoni Breakdown of academic impact, for papers by E. Kalm
Rankless by CCL
2026