Casey M. Cosetta

453 total citations
10 papers, 297 citations indexed

About

Casey M. Cosetta is a scholar working on Molecular Biology, Food Science and Infectious Diseases. According to data from OpenAlex, Casey M. Cosetta has authored 10 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Food Science and 2 papers in Infectious Diseases. Recurrent topics in Casey M. Cosetta's work include Probiotics and Fermented Foods (5 papers), Gut microbiota and health (5 papers) and Fermentation and Sensory Analysis (3 papers). Casey M. Cosetta is often cited by papers focused on Probiotics and Fermented Foods (5 papers), Gut microbiota and health (5 papers) and Fermentation and Sensory Analysis (3 papers). Casey M. Cosetta collaborates with scholars based in United States. Casey M. Cosetta's co-authors include Benjamin E. Wolfe, Erik K. Kastman, Rachel J. Dutton, Albert Robbat, Nicole Kfoury, Julie E. Button, Gregory J. McKenzie, Martin L. Lee, Robert R. Jenq and Andrew Y. Koh and has published in prestigious journals such as Genetics, Cell Host & Microbe and The ISME Journal.

In The Last Decade

Casey M. Cosetta

10 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Casey M. Cosetta United States 9 194 126 59 54 45 10 297
Corina Diana Ceapă Mexico 8 156 0.8× 131 1.0× 50 0.8× 23 0.4× 44 1.0× 14 324
Daragh Hill Ireland 4 163 0.8× 204 1.6× 82 1.4× 14 0.3× 16 0.4× 6 296
Guy E. Townsend United States 9 284 1.5× 119 0.9× 59 1.0× 42 0.8× 67 1.5× 13 348
Chengcong Yang China 7 190 1.0× 158 1.3× 31 0.5× 38 0.7× 40 0.9× 19 309
Aidin Foroutan Canada 6 139 0.7× 57 0.5× 45 0.8× 19 0.4× 67 1.5× 13 328
Philipp De Spiegeleer Belgium 7 138 0.7× 63 0.5× 27 0.5× 42 0.8× 38 0.8× 7 311
Catherine Tanous France 7 267 1.4× 252 2.0× 106 1.8× 18 0.3× 42 0.9× 7 361
Yan Zhong China 10 225 1.2× 124 1.0× 68 1.2× 13 0.2× 160 3.6× 40 449
Qiang Bao China 11 266 1.4× 250 2.0× 108 1.8× 33 0.6× 55 1.2× 28 487

Countries citing papers authored by Casey M. Cosetta

Since Specialization
Citations

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

Fields of papers citing papers by Casey M. Cosetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey M. Cosetta. 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 Casey M. Cosetta. The network helps show where Casey M. Cosetta may publish in the future.

Co-authorship network of co-authors of Casey M. Cosetta

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

All Works

10 of 10 papers shown
1.
Cosetta, Casey M., et al.. (2024). Tunable control of B. infantis abundance and gut metabolites by co-administration of human milk oligosaccharides. Gut Microbes. 16(1). 2304160–2304160. 8 indexed citations
2.
Button, Julie E., Casey M. Cosetta, Sarah L Brooker, et al.. (2023). Precision modulation of dysbiotic adult microbiomes with a human-milk-derived synbiotic reshapes gut microbial composition and metabolites. Cell Host & Microbe. 31(9). 1523–1538.e10. 23 indexed citations
3.
Cosetta, Casey M., et al.. (2023). Bacterial–fungal interactions promote parallel evolution of global transcriptional regulators in a widespread Staphylococcus species. The ISME Journal. 17(9). 1504–1516. 11 indexed citations
4.
Tannous, Joanna, Casey M. Cosetta, Milton T. Drott, et al.. (2023). LaeA-Regulated Fungal Traits Mediate Bacterial Community Assembly. mBio. 14(3). e0076923–e0076923. 9 indexed citations
5.
Button, Julie E., Chloe Autran, Casey M. Cosetta, et al.. (2022). Dosing a synbiotic of human milk oligosaccharides and B. infantis leads to reversible engraftment in healthy adult microbiomes without antibiotics. Cell Host & Microbe. 30(5). 712–725.e7. 56 indexed citations
6.
Cosetta, Casey M., Nicole Kfoury, Albert Robbat, & Benjamin E. Wolfe. (2020). Fungal volatiles mediate cheese rind microbiome assembly. Environmental Microbiology. 22(11). 4745–4760. 31 indexed citations
7.
Cosetta, Casey M. & Benjamin E. Wolfe. (2019). Causes and consequences of biotic interactions within microbiomes. Current Opinion in Microbiology. 50. 35–41. 27 indexed citations
8.
Cosetta, Casey M. & Benjamin E. Wolfe. (2019). Deconstructing and Reconstructing Cheese Rind Microbiomes for Experiments in Microbial Ecology and Evolution. Current Protocols in Microbiology. 56(1). e95–e95. 22 indexed citations
9.
House, Nealia C., Casey M. Cosetta, Robyn M. Jong, et al.. (2018). The Chromatin Remodeler Isw1 Prevents CAG Repeat Expansions During Transcription inSaccharomyces cerevisiae. Genetics. 208(3). 963–976. 10 indexed citations
10.
Kastman, Erik K., et al.. (2016). Biotic Interactions Shape the Ecological Distributions of Staphylococcus Species. mBio. 7(5). 100 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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