Matthew Bailey

1.6k total citations
51 papers, 1.2k citations indexed

About

Matthew Bailey is a scholar working on Food Science, Animal Science and Zoology and Plant Science. According to data from OpenAlex, Matthew Bailey has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Food Science, 16 papers in Animal Science and Zoology and 11 papers in Plant Science. Recurrent topics in Matthew Bailey's work include Salmonella and Campylobacter epidemiology (20 papers), Animal Nutrition and Physiology (15 papers) and Listeria monocytogenes in Food Safety (9 papers). Matthew Bailey is often cited by papers focused on Salmonella and Campylobacter epidemiology (20 papers), Animal Nutrition and Physiology (15 papers) and Listeria monocytogenes in Food Safety (9 papers). Matthew Bailey collaborates with scholars based in United States, Brazil and Canada. Matthew Bailey's co-authors include H. R. Boerma, M. A. Rouf Mian, D. A. Ashley, Wayne A. Parrott, R. S. Hussey, E. R. Shipe, K.S. Macklin, Manpreet Singh, T. E. Carter and Haley F. Oliver and has published in prestigious journals such as Geophysical Research Letters, Theoretical and Applied Genetics and Crop Science.

In The Last Decade

Matthew Bailey

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Bailey United States 17 718 179 126 96 95 51 1.2k
Issaka Youssao Abdou Karim Benin 19 209 0.3× 172 1.0× 68 0.5× 441 4.6× 216 2.3× 180 1.4k
Matthew J. Nicholson New Zealand 17 155 0.2× 62 0.3× 63 0.5× 83 0.9× 153 1.6× 32 1.2k
Soichi IMAI Japan 19 299 0.4× 147 0.8× 72 0.6× 130 1.4× 115 1.2× 121 1.7k
David VanInsberghe United States 15 362 0.5× 36 0.2× 213 1.7× 37 0.4× 88 0.9× 24 1.2k
Takuya Shimada Japan 16 279 0.4× 176 1.0× 131 1.0× 106 1.1× 166 1.7× 34 1.4k
Beltrán Rodriguez-Brito United States 10 256 0.4× 89 0.5× 234 1.9× 51 0.5× 140 1.5× 12 2.2k
J. L. Smith United States 18 128 0.2× 331 1.8× 240 1.9× 114 1.2× 73 0.8× 48 1.4k
Michèl de Vries Netherlands 24 1.9k 2.7× 145 0.8× 369 2.9× 186 1.9× 105 1.1× 34 3.0k
Scott Clingenpeel United States 15 655 0.9× 167 0.9× 183 1.5× 25 0.3× 88 0.9× 21 2.2k
Cheryl P. Andam United States 24 295 0.4× 114 0.6× 231 1.8× 9 0.1× 204 2.1× 72 1.7k

Countries citing papers authored by Matthew Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Bailey. A scholar is included among the top collaborators of Matthew Bailey 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 Matthew Bailey. Matthew Bailey 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.
Naeem, Muhammad, et al.. (2025). Advancements in machine learning applications in poultry farming: a literature review. The Journal of Applied Poultry Research. 34(4). 100602–100602. 1 indexed citations
3.
Adhikari, Yagya P., et al.. (2024). A Longitudinal Study on Campylobacter spp. in an Integrated Broiler Complex in the Southeast Region of the United States: Prevalence and Phylogenetic Analysis. Journal of Food Protection. 88(1). 100420–100420. 1 indexed citations
4.
Watts, Dexter B., et al.. (2024). Evaluating the impact of gypsum as a novel bedding material on broiler performance, foot pad health, and fear response. Poultry Science. 103(6). 103676–103676. 1 indexed citations
5.
Adhikari, Yagya P., Matthew Bailey, R.J. Buhr, et al.. (2024). Assessment and genomic analysis of Salmonella and Campylobacter from different stages of an integrated no-antibiotics-ever (NAE) broiler complex: a longitudinal study. Poultry Science. 103(11). 104212–104212. 4 indexed citations
8.
Bailey, Matthew, et al.. (2023). Effect of translucency and eggshell color on broiler breeder egg hatchability and hatch chick weight. Poultry Science. 102(9). 102866–102866. 8 indexed citations
9.
Bailey, Matthew, Teresa Dormitorio, K.S. Macklin, et al.. (2023). Research Note: Role of darkling beetles (Alphitobius diaperinus) and litter in spreading and maintaining Salmonella Enteritidis and Campylobacter jejuni in chicken flocks. Poultry Science. 102(11). 103061–103061. 6 indexed citations
10.
Bailey, Matthew, et al.. (2021). A Comparison of Colonizing Ability Between Salmonella Enteritidis and Salmonella Heidelberg in Broiler Chickens Challenged Through Feed Administration. Foodborne Pathogens and Disease. 18(11). 784–789. 4 indexed citations
11.
Bailey, Matthew, et al.. (2021). Investigation of the potential of aerosolized Salmonella Enteritidis on colonization and persistence in broilers from day 3 to 21. Poultry Science. 100(12). 101504–101504. 9 indexed citations
12.
Bailey, Matthew, D.R. Jones, Richard K. Gast, et al.. (2018). Prevalence, Persistence, and Antimicrobial Resistance of Campylobacter spp. from Eggs and Laying Hens Housed in Five Commercial Housing Systems. Foodborne Pathogens and Disease. 15(8). 506–516. 16 indexed citations
13.
Bailey, Matthew, et al.. (2018). Thermal Inactivation of Shiga Toxin–Producing Escherichia coli in Ground Beef with Varying Fat Content. Journal of Food Protection. 81(6). 986–992. 7 indexed citations
14.
Bailey, Matthew, et al.. (2018). Prevalence and antimicrobial resistance of Campylobacterfrom antibiotic-free broilers during organic and conventional processing. Poultry Science. 98(3). 1447–1454. 35 indexed citations
15.
Macklin, K.S., et al.. (2018). Prevalence and antimicrobial resistance patterns of Salmonella isolated from poultry farms in southeastern United States. Poultry Science. 97(6). 2144–2152. 72 indexed citations
16.
Pautet, Pierre‐Dominique, Mike Taylor, Matthew Bailey, et al.. (2007). IR Temperature Characteristics of a Prolific TLE Producing Storm in South America Observed During a Sprite Campaign in Brazil. AGU Fall Meeting Abstracts. 2007. 1 indexed citations
17.
Bailey, Matthew, M. J. Taylor, Pierre‐Dominique Pautet, et al.. (2007). Sprite Halos and Associated Lightning Characteristics over South America. Digital Commons - USU (Utah State University). 2007. 1 indexed citations
18.
Bailey, Matthew, et al.. (2005). NOx Production in Simulated Blue Jets, Sprites, and TLE Discharges. AGU Fall Meeting Abstracts. 2005. 2 indexed citations
19.
Taylor, M. J., Pierre‐Dominique Pautet, Matthew Bailey, et al.. (2003). Investigating sprite energetics over Brazil in association with small/frontal storms. AGU Fall Meeting Abstracts. 2003. 1 indexed citations
20.
Bailey, Matthew, M. A. Rouf Mian, T. E. Carter, et al.. (1996). RFLP loci associated with soybean seed protein and oil content across populations and locations. Theoretical and Applied Genetics. 93-93(5-6). 649–657. 136 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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