Madison S. Cox

431 total citations
17 papers, 264 citations indexed

About

Madison S. Cox is a scholar working on Molecular Biology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Madison S. Cox has authored 17 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Agronomy and Crop Science and 2 papers in Infectious Diseases. Recurrent topics in Madison S. Cox's work include Ruminant Nutrition and Digestive Physiology (10 papers), Gut microbiota and health (8 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). Madison S. Cox is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (10 papers), Gut microbiota and health (8 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). Madison S. Cox collaborates with scholars based in United States, China and Brazil. Madison S. Cox's co-authors include Garret Suen, Paul J. Weimer, Lin Miao, Mary Beth Hall, Jean‐Michel Ané, Shawn P. Conley, Fan Zhang, Yan Tu, Naifeng Zhang and Yanliang Bi and has published in prestigious journals such as Bioinformatics, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Madison S. Cox

14 papers receiving 264 citations

Peers

Madison S. Cox
Thomas Hartinger Austria
Vahideh Heidarian Miri Iran
Zhaomin Lei China
D. W. Brake United States
Abderzak Lettat France
Zeyi Liang China
P. R. Pandya India
Marcelo Nagem Valério de Oliveira Brazil
D.S. Castagnino Canada
Ciara A. Carberry Ireland
Thomas Hartinger Austria
Madison S. Cox
Citations per year, relative to Madison S. Cox Madison S. Cox (= 1×) peers Thomas Hartinger

Countries citing papers authored by Madison S. Cox

Since Specialization
Citations

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

Fields of papers citing papers by Madison S. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madison S. Cox. 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 Madison S. Cox. The network helps show where Madison S. Cox may publish in the future.

Co-authorship network of co-authors of Madison S. Cox

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

All Works

17 of 17 papers shown
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Skarlupka, Joseph H., Madison S. Cox, Jennifer C. McClure, et al.. (2024). Oral swabs as a proxy for direct ruminal microbiome sampling in Holstein dairy cows is correlated with sample color. Frontiers in Microbiology. 15. 1466375–1466375.
3.
Dill‐McFarland, Kimberly A., R. Max Segnitz, Madison S. Cox, et al.. (2023). Kimma: flexible linear mixed effects modeling with kinship covariance for RNA-seq data. Bioinformatics. 39(5). 12 indexed citations
4.
Cox, Madison S., Leonard B. Bacharier, Agustin Calatroni, et al.. (2023). Mepolizumab Alters Regulation of Airway Type-2 Inflammation in Urban Children with Asthma by Disrupting Eosinophil Gene Expression but Enhancing Mast Cell and Epithelial Pathways. Journal of Allergy and Clinical Immunology. 151(2). AB125–AB125. 1 indexed citations
5.
Kates, Ashley, Nathan Putman-Buehler, Lauren Watson, et al.. (2022). A quality improvement study on the relationship between intranasal povidone-iodine and anesthesia and the nasal microbiota of surgery patients. PLoS ONE. 17(12). e0278699–e0278699.
6.
Cox, Madison S., et al.. (2021). Assessing the Response of Ruminal Bacterial and Fungal Microbiota to Whole-Rumen Contents Exchange in Dairy Cows. Frontiers in Microbiology. 12. 665776–665776. 19 indexed citations
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Fischer, Amélie, et al.. (2020). The bovine epimural microbiota displays compositional and structural heterogeneity across different ruminal locations. Journal of Dairy Science. 103(4). 3636–3647. 16 indexed citations
9.
Skarlupka, Joseph H., Madison S. Cox, Rafael Tassinari Resende, et al.. (2020). Validating the Use of Bovine Buccal Sampling as a Proxy for the Rumen Microbiota by Using a Time Course and Random Forest Classification Approach. Applied and Environmental Microbiology. 86(17). 13 indexed citations
10.
Cox, Madison S., et al.. (2020). Crop rotation, but not cover crops, influenced soil bacterial community composition in a corn-soybean system in southern Wisconsin. Applied Soil Ecology. 154. 103603–103603. 53 indexed citations
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Cox, Madison S., et al.. (2020). 166 Altering the ruminal microbiota in dairy calves using rumen contents dosing. Journal of Animal Science. 98(Supplement_4). 135–136. 2 indexed citations
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Bi, Yanliang, Madison S. Cox, Fan Zhang, et al.. (2019). Feeding modes shape the acquisition and structure of the initial gut microbiota in newborn lambs. Environmental Microbiology. 21(7). 2333–2346. 49 indexed citations
15.
Porcellato, Davide, et al.. (2019). Characterization of microbial communities in ethanol biorefineries. Journal of Industrial Microbiology & Biotechnology. 47(2). 183–195. 8 indexed citations
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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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2026