Garret Suen

10.9k total citations · 1 hit paper
138 papers, 4.8k citations indexed

About

Garret Suen is a scholar working on Molecular Biology, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Garret Suen has authored 138 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 45 papers in Agronomy and Crop Science and 25 papers in Genetics. Recurrent topics in Garret Suen's work include Gut microbiota and health (61 papers), Ruminant Nutrition and Digestive Physiology (35 papers) and Genomics and Phylogenetic Studies (15 papers). Garret Suen is often cited by papers focused on Gut microbiota and health (61 papers), Ruminant Nutrition and Digestive Physiology (35 papers) and Genomics and Phylogenetic Studies (15 papers). Garret Suen collaborates with scholars based in United States, Brazil and Canada. Garret Suen's co-authors include Cameron R. Currie, Paul J. Weimer, Kimberly A. Dill‐McFarland, Frank O. Aylward, Kelsea A. Jewell, Anthony P. Neumann, David M. Stevenson, Lynne Goodwin, Caroline A. McCormick and Kenneth F. Raffa and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Garret Suen

130 papers receiving 4.7k citations

Hit Papers

The Ruminococci: key symbionts of the gut ecosystem 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Garret Suen United States 40 2.1k 1.4k 956 831 772 138 4.8k
Carl J. Yeoman United States 36 2.9k 1.4× 791 0.6× 479 0.5× 252 0.3× 332 0.4× 78 5.3k
Itzhak Mizrahi Israel 39 3.2k 1.5× 2.5k 1.8× 799 0.8× 166 0.2× 543 0.7× 99 6.6k
Stuart E. Denman Australia 40 2.7k 1.3× 2.5k 1.8× 676 0.7× 173 0.2× 536 0.7× 106 6.4k
Stig Milan Thamsborg Denmark 51 812 0.4× 1.1k 0.8× 494 0.5× 473 0.6× 677 0.9× 300 8.7k
Stephen D. Kachman United States 35 1.7k 0.8× 681 0.5× 1.3k 1.4× 219 0.3× 284 0.4× 159 4.8k
W.H. Hendriks Netherlands 46 1.2k 0.5× 1.9k 1.4× 792 0.8× 621 0.7× 357 0.5× 306 7.5k
Jan Erik Lindberg Sweden 39 1.0k 0.5× 1.7k 1.2× 604 0.6× 242 0.3× 255 0.3× 237 5.6k
Graeme T. Attwood New Zealand 37 1.7k 0.8× 3.3k 2.4× 661 0.7× 117 0.1× 538 0.7× 113 5.5k
R. Roehe United Kingdom 39 1.2k 0.6× 1.8k 1.3× 2.0k 2.1× 179 0.2× 313 0.4× 159 5.6k
Franklin Riet-Corrêa Brazil 35 2.7k 1.3× 779 0.6× 292 0.3× 370 0.4× 2.3k 2.9× 526 6.6k

Countries citing papers authored by Garret Suen

Since Specialization
Citations

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

Fields of papers citing papers by Garret Suen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garret Suen

This figure shows the co-authorship network connecting the top 25 collaborators of Garret Suen. A scholar is included among the top collaborators of Garret Suen 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 Garret Suen. Garret Suen 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.
Kates, Ashley, Tony L. Goldberg, P.L. Ruegg, et al.. (2025). Assessing the Impacts of Dairy Farm Antimicrobial Use on the Bovine Fecal Microbiome. Animals. 15(12). 1735–1735. 1 indexed citations
2.
Kates, Ashley, Ajay K. Sethi, Garret Suen, et al.. (2024). Variation in partial direct costs of dry cow therapy on 37 large dairy herds. SHILAP Revista de lepidopterología. 5(6). 639–643. 1 indexed citations
3.
Hill, N. S., Jeferson M. Lourenço, Dean P. Jones, et al.. (2023). Ruminal ergovaline and volatile fatty acid dynamics: Association with poor performance and a key growth regulator in steers grazing toxic tall fescue. Environmental Toxicology and Pharmacology. 105. 104354–104354. 1 indexed citations
4.
Simmons, Heather A., et al.. (2023). Listeria monocytogenes infection in pregnant macaques alters the maternal gut microbiome. Biology of Reproduction. 109(5). 618–634. 3 indexed citations
5.
Lourenço, Jeferson M., et al.. (2023). Behavioral and Physiological Alterations in Angus Steers Grazing Endophyte-Infected Toxic Fescue during Late Fall. Toxins. 15(5). 343–343. 1 indexed citations
6.
Eggers, Shoshannah, et al.. (2023). Neighborhood socioeconomic status is associated with low diversity gut microbiomes and multi-drug resistant microorganism colonization. npj Biofilms and Microbiomes. 9(1). 61–61. 26 indexed citations
7.
Regan, Matthew D., Edna Chiang, Marco Tonelli, et al.. (2022). Nitrogen recycling via gut symbionts increases in ground squirrels over the hibernation season. Science. 375(6579). 460–463. 63 indexed citations
8.
Gonçalves, Juliano Leonel, Nasia Safdar, Ashley Kates, et al.. (2022). Incidence and Treatments of Bovine Mastitis and Other Diseases on 37 Dairy Farms in Wisconsin. Pathogens. 11(11). 1282–1282. 24 indexed citations
10.
McKenzie, Sean K., Felix Grewe, Benjamin E. R. Rubin, et al.. (2021). The genomic basis of army ant chemosensory adaptations. Molecular Ecology. 30(24). 6627–6641. 13 indexed citations
11.
Owens, L., Barbara Colitti, Kimberly A. Bishop‐Lilly, et al.. (2021). A Sarcina bacterium linked to lethal disease in sanctuary chimpanzees in Sierra Leone. Nature Communications. 12(1). 763–763. 25 indexed citations
12.
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
13.
Becker, Sarah, Edna Chiang, Anna Plantinga, et al.. (2020). Effect of stevia on the gut microbiota and glucose tolerance in a murine model of diet-induced obesity. FEMS Microbiology Ecology. 96(6). 26 indexed citations
14.
Hill, N. S., et al.. (2019). Response of Beef Cattle Fecal Microbiota to Grazing on Toxic Tall Fescue. Applied and Environmental Microbiology. 85(15). 18 indexed citations
15.
Hillel, Alexander T., Camila Carlos, Joseph H. Skarlupka, et al.. (2019). Laryngotracheal Microbiota in Adult Laryngotracheal Stenosis. mSphere. 4(3). 36 indexed citations
16.
Neumann, Anthony P., Paul J. Weimer, & Garret Suen. (2018). A global analysis of gene expression in Fibrobacter succinogenes S85 grown on cellulose and soluble sugars at different growth rates. Biotechnology for Biofuels. 11(1). 295–295. 17 indexed citations
18.
Suen, Garret, Paul J. Weimer, David M. Stevenson, et al.. (2011). The Complete Genome Sequence of Fibrobacter succinogenes S85 Reveals a Cellulolytic and Metabolic Specialist. PLoS ONE. 6(4). e18814–e18814. 173 indexed citations
19.
Suen, Garret, et al.. (2010). An Insect Herbivore Microbiome with High Plant Biomass-Degrading Capacity. PLoS Genetics. 6(9). e1001129–e1001129. 1 indexed citations
20.
Suen, Garret. (2008). Understanding prokaryotic diversity in the post-genomics era. Nature. 306(5939). 116–7. 1 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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