Michael E. Persia

896 total citations
19 papers, 564 citations indexed

About

Michael E. Persia is a scholar working on Animal Science and Zoology, Molecular Biology and Small Animals. According to data from OpenAlex, Michael E. Persia has authored 19 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Animal Science and Zoology, 4 papers in Molecular Biology and 3 papers in Small Animals. Recurrent topics in Michael E. Persia's work include Animal Nutrition and Physiology (16 papers), Meat and Animal Product Quality (7 papers) and Effects of Environmental Stressors on Livestock (6 papers). Michael E. Persia is often cited by papers focused on Animal Nutrition and Physiology (16 papers), Meat and Animal Product Quality (7 papers) and Effects of Environmental Stressors on Livestock (6 papers). Michael E. Persia collaborates with scholars based in United States and China. Michael E. Persia's co-authors include Max F. Rothschild, Susan J. Lamont, Carl J. Schmidt, Christopher M. Ashwell, G. R. Murugesan, L.F. Romero, Damarius S. Fleming, Melissa S. Monson, Angelica Van Goor and Andrew M. Campbell and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Food Science.

In The Last Decade

Michael E. Persia

19 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael E. Persia United States 14 420 111 88 49 47 19 564
Mohammad Borhan Al‐Zghoul Jordan 13 367 0.9× 82 0.7× 55 0.6× 56 1.1× 29 0.6× 37 529
Jean Eduardo de Oliveira Netherlands 11 315 0.8× 113 1.0× 58 0.7× 45 0.9× 20 0.4× 22 479
B.L. Schneider Canada 6 621 1.5× 98 0.9× 89 1.0× 103 2.1× 50 1.1× 8 761
Juliano César de Paula Dorigam Brazil 16 596 1.4× 73 0.7× 40 0.5× 63 1.3× 62 1.3× 67 731
Aleksandra Dunisławska Poland 13 421 1.0× 200 1.8× 88 1.0× 45 0.9× 16 0.3× 45 657
N. Millet France 8 692 1.6× 70 0.6× 217 2.5× 63 1.3× 29 0.6× 18 789
G. Rahimi Iran 12 338 0.8× 51 0.5× 127 1.4× 34 0.7× 20 0.4× 27 491
Veronika Halas Hungary 11 355 0.8× 75 0.7× 39 0.4× 81 1.7× 54 1.1× 39 488
Congliang Ji China 11 360 0.9× 257 2.3× 199 2.3× 22 0.4× 22 0.5× 21 623
Christelle Piel France 4 384 0.9× 144 1.3× 46 0.5× 118 2.4× 30 0.6× 4 589

Countries citing papers authored by Michael E. Persia

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Persia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael E. Persia

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Persia. A scholar is included among the top collaborators of Michael E. Persia 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 Michael E. Persia. Michael E. Persia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Persia, Michael E., et al.. (2024). Mitochondrial Abundance and Function Differ Across Muscle Within Species. Metabolites. 14(10). 553–553. 1 indexed citations
2.
Campbell, Andrew M., et al.. (2022). Effects of Housing System on Anxiety, Chronic Stress, Fear, and Immune Function in Bovan Brown Laying Hens. Animals. 12(14). 1803–1803. 25 indexed citations
3.
Jia, Xinzheng, Melissa S. Monson, Jibin Zhang, et al.. (2021). Transcriptome Response of Liver and Muscle in Heat-Stressed Laying Hens. Genes. 12(2). 255–255. 16 indexed citations
4.
Monson, Melissa S., et al.. (2019). Genetic lines respond uniquely within the chicken thymic transcriptome to acute heat stress and low dose lipopolysaccharide. Scientific Reports. 9(1). 13649–13649. 15 indexed citations
5.
Persia, Michael E., et al.. (2019). Venous blood gas and chemistry components are moderately heritable in commercial white egg-laying hens under acute or chronic heat exposure. Poultry Science. 98(9). 3426–3430. 6 indexed citations
6.
Schmidt, Carl J., et al.. (2019). Effects of acute and chronic heat stress on the performance, egg quality, body temperature, and blood gas parameters of laying hens. Poultry Science. 98(12). 6684–6692. 95 indexed citations
7.
Ashwell, Christopher M., et al.. (2019). Genetic analysis of production, physiological, and egg quality traits in heat-challenged commercial white egg-laying hens using 600k SNP array data. Genetics Selection Evolution. 51(1). 31–31. 14 indexed citations
8.
Monson, Melissa S., Christopher M. Ashwell, Michael E. Persia, et al.. (2018). Immunomodulatory effects of heat stress and lipopolysaccharide on the bursal transcriptome in two distinct chicken lines. BMC Genomics. 19(1). 643–643. 48 indexed citations
9.
Matarneh, Sulaiman K., Jennifer Elgin, Mariane Beline, et al.. (2018). Phosphofructokinase and mitochondria partially explain the high ultimate pH of broiler pectoralis major muscle. Poultry Science. 97(5). 1808–1817. 21 indexed citations
10.
Goor, Angelica Van, Christopher M. Ashwell, Michael E. Persia, et al.. (2017). Unique genetic responses revealed in RNA-seq of the spleen of chickens stimulated with lipopolysaccharide and short-term heat. PLoS ONE. 12(2). e0171414–e0171414. 20 indexed citations
11.
Murugesan, G. R., B. J. Kerr, & Michael E. Persia. (2017). Energy content of select dietary supplemental lipids for broilers, turkeys, and laying hens. The Journal of Applied Poultry Research. 26(4). 536–547. 9 indexed citations
12.
Goor, Angelica Van, Christopher M. Ashwell, Michael E. Persia, et al.. (2016). Quantitative trait loci identified for blood chemistry components of an advanced intercross line of chickens under heat stress. BMC Genomics. 17(1). 32 indexed citations
13.
Sun, Liang, Susan J. Lamont, Amanda M. Cooksey, et al.. (2015). Transcriptome response to heat stress in a chicken hepatocellular carcinoma cell line. Cell Stress and Chaperones. 20(6). 939–950. 59 indexed citations
14.
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16.
Fleming, Damarius S., Michael E. Persia, Christopher M. Ashwell, et al.. (2014). RNA-seq analysis of broiler liver transcriptome reveals novel responses to high ambient temperature. BMC Genomics. 15(1). 1084–1084. 74 indexed citations
17.
Murugesan, G. R. & Michael E. Persia. (2014). Influence of a direct‐fed microbial and xylanase enzyme on the dietary energy uptake efficiency and performance of broiler chickens. Journal of the Science of Food and Agriculture. 95(12). 2521–2527. 13 indexed citations
18.
Yao, Linxing, et al.. (2013). Effects of Vitamin D 3 ‐Enriched Diet on Egg Yolk Vitamin D 3 Content and Yolk Quality. Journal of Food Science. 78(2). C178–83. 26 indexed citations
19.
Persia, Michael E., C.M. Parsons, & David H. Baker. (2003). Amelioration of oral copper toxicity in chicks by dietary additions of ascorbic acid, cysteine and zinc. Nutrition Research. 23(12). 1709–1718. 7 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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