Samuel E. Aggrey

5.7k total citations
171 papers, 3.9k citations indexed

About

Samuel E. Aggrey is a scholar working on Animal Science and Zoology, Genetics and Plant Science. According to data from OpenAlex, Samuel E. Aggrey has authored 171 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Animal Science and Zoology, 80 papers in Genetics and 34 papers in Plant Science. Recurrent topics in Samuel E. Aggrey's work include Animal Nutrition and Physiology (94 papers), Genetic and phenotypic traits in livestock (73 papers) and Genetic Mapping and Diversity in Plants and Animals (41 papers). Samuel E. Aggrey is often cited by papers focused on Animal Nutrition and Physiology (94 papers), Genetic and phenotypic traits in livestock (73 papers) and Genetic Mapping and Diversity in Plants and Animals (41 papers). Samuel E. Aggrey collaborates with scholars based in United States, Canada and China. Samuel E. Aggrey's co-authors include Romdhane Rekaya, A.B. Karnuah, Nicholas B. Anthony, Marie C. Milfort, G.M. Pesti, Larry A. Cogburn, Jean Simon, Tom E. Porter, Walid S. Habashy and M.Y. Shim and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Samuel E. Aggrey

163 papers receiving 3.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Samuel E. Aggrey 2.3k 1.5k 632 587 312 171 3.9k
Nadine Buys 1.4k 0.6× 1.7k 1.1× 757 1.2× 261 0.4× 297 1.0× 152 3.5k
Élisabeth Baéza 2.8k 1.2× 569 0.4× 673 1.1× 235 0.4× 310 1.0× 103 3.8k
Kerstin Lundström 2.6k 1.1× 1.5k 1.0× 780 1.2× 442 0.8× 611 2.0× 67 4.4k
Hélène Gilbert 1.6k 0.7× 1.5k 1.0× 525 0.8× 257 0.4× 613 2.0× 140 2.9k
Simone Eliza Facioni Guimarães 803 0.3× 1.7k 1.1× 498 0.8× 357 0.6× 232 0.7× 242 2.9k
Gérson Barreto Mourão 1.1k 0.5× 1.4k 0.9× 505 0.8× 329 0.6× 198 0.6× 221 3.0k
Miguel Pérez‐Enciso 1.2k 0.5× 3.5k 2.4× 1.3k 2.0× 1.1k 1.9× 240 0.8× 140 5.0k
Jie Wen 2.3k 1.0× 1.2k 0.8× 1.4k 2.2× 201 0.3× 83 0.3× 175 4.1k
Romdhane Rekaya 1.3k 0.6× 2.0k 1.3× 524 0.8× 421 0.7× 355 1.1× 178 3.3k
Florence Gondret 1.9k 0.8× 780 0.5× 1.1k 1.7× 196 0.3× 442 1.4× 109 3.7k

Countries citing papers authored by Samuel E. Aggrey

Since Specialization
Citations

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

Fields of papers citing papers by Samuel E. Aggrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel E. Aggrey. 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 Samuel E. Aggrey. The network helps show where Samuel E. Aggrey may publish in the future.

Co-authorship network of co-authors of Samuel E. Aggrey

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel E. Aggrey. A scholar is included among the top collaborators of Samuel E. Aggrey 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 Samuel E. Aggrey. Samuel E. Aggrey 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.
Chen, Chongxiao, et al.. (2025). Automatic analysis of high, medium, and low activities of broilers with heat stress operations via image processing and machine learning. Poultry Science. 104(4). 104954–104954. 2 indexed citations
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Djikeng, Appolinaire, Samuel E. Aggrey, Okeyo Mwai, et al.. (2025). The African Animal Breeding Network as a pathway towards genetic improvement of livestock. Nature Genetics. 57(3). 498–504. 1 indexed citations
4.
Milfort, Marie C., et al.. (2025). Effect of glucose supplementation on protein biosynthesis in chickens reared under thermoneutral or heat stress environment. Gene. 951. 149408–149408. 1 indexed citations
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Osei-Amponsah, Richard, et al.. (2024). Changes in rectal temperature as a means of assessing heat tolerance and sensitivity in chickens. Tropical Animal Health and Production. 56(9). 391–391. 2 indexed citations
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Hinkle, Nancy C., et al.. (2023). Genetic parameters of subjective and image-based horn fly abundance phenotypes. SHILAP Revista de lepidopterología. 4. 2 indexed citations
9.
Zwirzitz, Benjamin, Adelumola Oladeinde, Marie C. Milfort, et al.. (2023). Temporal dynamics of the cecal and litter microbiome of chickens raised in two separate broiler houses. Frontiers in Physiology. 14. 1083192–1083192. 6 indexed citations
10.
Wood, Benjamin J., et al.. (2023). Growth Rate Distribution and Potential Non-Linear Relationship between Body Weight and Walking Ability in Turkeys. Animals. 13(18). 2979–2979. 2 indexed citations
11.
Hinkle, Nancy C., et al.. (2023). 54 Image Based Sampling to Assess Horn Fly Abundance on Cattle. Journal of Animal Science. 101(Supplement_1). 6–7.
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Oladeinde, Adelumola, Zaid Abdo, Benjamin Zwirzitz, et al.. (2022). Litter Commensal Bacteria Can Limit the Horizontal Gene Transfer of Antimicrobial Resistance to Salmonella in Chickens. Applied and Environmental Microbiology. 88(9). e0251721–e0251721. 20 indexed citations
14.
Toghiani, Sajjad, et al.. (2020). Runs of homozygosity and analysis of inbreeding depression. Journal of Animal Science. 98(12). 16 indexed citations
15.
Toghiani, Sajjad, et al.. (2019). A Weighted Genomic Relationship Matrix Based on Fixation Index (FST) Prioritized SNPs for Genomic Selection. Genes. 10(11). 922–922. 9 indexed citations
16.
Aggrey, Samuel E., et al.. (2018). Molecular and cellular mechanisms that underlie genes and antioxidant enzyme activities in meat-type birds during heat stress. Proceedings of the World Congress on Genetics Applied to Livestock Production. 600. 1 indexed citations
17.
Aggrey, Samuel E., et al.. (2014). Association of SNPs with components of residual feed intake parameters in a meat-type chicken population. Proceedings of the World Congress on Genetics Applied to Livestock Production. 121. 3 indexed citations
18.
Carré, Wilfrid, Xiaofei Wang, Tom E. Porter, et al.. (2013). Transcriptional analysis of abdominal fat in genetically fat and lean chickens reveals adipokines, lipogenic genes and a link between hemostasis and leanness. BMC Genomics. 14(1). 557–557. 66 indexed citations
19.
Ankra-Badu, Georgina A. & Samuel E. Aggrey. (2005). Identification of Candidate Genes at Quantitative Trait Loci on Chicken Chromosome Z Using Orthologous Comparison of Chicken, Mouse, and Human Genomes. In Silico Biology. 5(5-6). 593–604. 8 indexed citations
20.
Aggrey, Samuel E., et al.. (2003). Genetic variation in feed utilization efficiency of meat-type chickens. World s Poultry Science Journal. 59(3). 328–339. 26 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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