Noelle Noyes

3.4k total citations
75 papers, 2.0k citations indexed

About

Noelle Noyes is a scholar working on Molecular Biology, Molecular Medicine and Food Science. According to data from OpenAlex, Noelle Noyes has authored 75 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 19 papers in Molecular Medicine and 17 papers in Food Science. Recurrent topics in Noelle Noyes's work include Gut microbiota and health (23 papers), Antibiotic Resistance in Bacteria (19 papers) and Genomics and Phylogenetic Studies (17 papers). Noelle Noyes is often cited by papers focused on Gut microbiota and health (23 papers), Antibiotic Resistance in Bacteria (19 papers) and Genomics and Phylogenetic Studies (17 papers). Noelle Noyes collaborates with scholars based in United States, Canada and Finland. Noelle Noyes's co-authors include Paul S. Morley, K. E. Belk, Christina Boucher, Enrique Doster, Steven M. Lakin, Tim A. McAllister, Zaid Abdo, Christopher Dean, Kenneth L. Jones and Chris Dean and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Noelle Noyes

68 papers receiving 2.0k citations

Peers

Noelle Noyes

POLLU

ECOLO

Sushim K. Gupta United States

Sadeeq ur Rahman Pakistan

Masaru Usui Japan

Vyacheslav Brover United States

Daniel A. Tadesse United States

Enrique Doster United States

Dayna M. Harhay United States

Changwei Lei China

Zuowei Wu China

Glenn E. Tillman United States

Sushim K. Gupta United States

Noelle Noyes

720 ×0.7

816 ×1.7

447 ×1.1

241 ×0.6

POLLU

305 ×0.8

ECOLO

Citations per year, relative to Noelle Noyes Noelle Noyes (= 1×) peers Sushim K. Gupta

Countries citing papers authored by Noelle Noyes

Since Specialization

Citations

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

Fields of papers citing papers by Noelle Noyes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noelle Noyes

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

All Works

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20 of 20 papers shown

Havas, Karyn, Laura Ruesch, Noelle Noyes, et al.. (2025). Assessment of a program for monitoring antimicrobial purchase and resistance in Escherichia coli and Salmonella enterica on pig farms in the Midwestern United States from May 2020 through October 2023. Frontiers in Veterinary Science. 12. 1586008–1586008. 1 indexed citations

Dean, Chris, et al.. (2024). The impact of kit, environment, and sampling contamination on the observed microbiome of bovine milk. mSystems. 9(6). e0115823–e0115823. 8 indexed citations

Gaire, Tara N., Bingzhou Zhang, Enrique Doster, et al.. (2024). Slaughtering processes impact microbial communities and antimicrobial resistance genes of pig carcasses. The Science of The Total Environment. 946. 174394–174394. 7 indexed citations

Melchior, P., et al.. (2024). Analysis of the northern pitcher plant (Sarracenia purpurea L.) phytotelm bacteriome throughout a temperate region growing season. PLoS ONE. 19(7). e0306602–e0306602.

Morley, Paul S., et al.. (2024). Using a multi-omics approach to explore potential associations with rumen content and serum of cows with different milk production levels based on genomic predicted transmitting ability for milk and phenotypic milk production. PLoS ONE. 19(7). e0305674–e0305674. 1 indexed citations

Havas, Karyn, Laura Ruesch, Joel Nerem, et al.. (2024). Evaluation of antibiotic purchase data for ceftiofur and enrofloxacin and minimum inhibitory concentrations among Escherichia coli isolates from swine farms in the Midwestern United States using multiple statistical models. Preventive Veterinary Medicine. 235. 106411–106411.

Oliva, Marco Antônio, et al.. (2024). The TELCoMB Protocol for High‐Sensitivity Detection of ARG‐MGE Colocalizations in Complex Microbial Communities. Current Protocols. 4(10). e70031–e70031. 1 indexed citations

Picasso‐Risso, Catalina, et al.. (2023). Evaluating variations in metabolic profiles during the dry period related to the time of hyperketonemia onset in dairy cows. PLoS ONE. 18(8). e0289165–e0289165. 3 indexed citations

Marini, Simone, Rodrígo Mora, Christina Boucher, Noelle Noyes, & Mattia Prosperi. (2022). Towards routine employment of computational tools for antimicrobial resistance determination via high-throughput sequencing. Briefings in Bioinformatics. 23(2). 2 indexed citations

10.

Gaire, Tara N., Noelle Noyes, H.M. Scott, et al.. (2022). A longitudinal investigation of the effects of age, dietary fiber type and level, and injectable antimicrobials on the fecal microbiome and antimicrobial resistance of finisher pigs. Journal of Animal Science. 100(9). 8 indexed citations

11.

Weinroth, Margaret D., Aeriel D. Belk, Chris Dean, et al.. (2022). Considerations and best practices in animal science 16S ribosomal RNA gene sequencing microbiome studies. Journal of Animal Science. 100(2). 64 indexed citations

12.

Morrison-Smith, Sarah, Christina Boucher, Aleksandra Sarcevic, et al.. (2022). Challenges in large-scale bioinformatics projects. Humanities and Social Sciences Communications. 9(1). 5 indexed citations

13.

Gaire, Tara N., et al.. (2022). The microbiome of common bedding materials before and after use on commercial dairy farms. SHILAP Revista de lepidopterología. 4(1). 18–18. 12 indexed citations

14.

Dean, Christopher, et al.. (2020). Mobilization of Antibiotic Resistance: Are Current Approaches for Colocalizing Resistomes and Mobilomes Useful?. Frontiers in Microbiology. 11. 1376–1376. 36 indexed citations

15.

Lakin, Steven M., Alan Kuhnle, Noelle Noyes, et al.. (2019). Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences. Communications Biology. 2(1). 294–294. 30 indexed citations

16.

Doster, Enrique, Steven M. Lakin, Christopher Dean, et al.. (2019). MEGARes 2.0: a database for classification of antimicrobial drug, biocide and metal resistance determinants in metagenomic sequence data. Nucleic Acids Research. 48(D1). D561–D569. 264 indexed citations

17.

Doster, Enrique, Pablo Rovira, Noelle Noyes, et al.. (2018). Investigating Effects of Tulathromycin Metaphylaxis on the Fecal Resistome and Microbiome of Commercial Feedlot Cattle Early in the Feeding Period. Frontiers in Microbiology. 9. 1715–1715. 42 indexed citations

18.

Muggli, Martin D., Noelle Noyes, Paul S. Morley, et al.. (2017). Succinct colored de Bruijn graphs. Bioinformatics. 33(20). 3181–3187. 54 indexed citations

19.

Noyes, Noelle, Katharine M. Benedict, Sheryl Gow, et al.. (2015). Mannheimia haemolytica in Feedlot Cattle: Prevalence of Recovery and Associations with Antimicrobial Use, Resistance, and Health Outcomes. Journal of Veterinary Internal Medicine. 29(2). 705–713. 58 indexed citations

20.

Noyes, Noelle, Katharine M. Benedict, Sheryl Gow, et al.. (2015). Modelling considerations in the analysis of associations between antimicrobial use and resistance in beef feedlot cattle. Epidemiology and Infection. 144(6). 1313–1329. 13 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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