Bryan Coburn

6.5k total citations · 1 hit paper
82 papers, 3.7k citations indexed

About

Bryan Coburn is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Bryan Coburn has authored 82 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 26 papers in Infectious Diseases and 20 papers in Epidemiology. Recurrent topics in Bryan Coburn's work include Gut microbiota and health (23 papers), Clostridium difficile and Clostridium perfringens research (12 papers) and Antibiotic Resistance in Bacteria (11 papers). Bryan Coburn is often cited by papers focused on Gut microbiota and health (23 papers), Clostridium difficile and Clostridium perfringens research (12 papers) and Antibiotic Resistance in Bacteria (11 papers). Bryan Coburn collaborates with scholars based in Canada, United States and United Kingdom. Bryan Coburn's co-authors include B. Brett Finlay, Guntram A. Graßl, Inna Sekirov, George Tomlinson, David S. Guttman, Yuling Li, Andrew M. Morris, Bruce A. Vallance, Allan S. Detsky and Brian K. Coombes and has published in prestigious journals such as JAMA, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Bryan Coburn

77 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Salmonella, the host and disease: a brief review

2006 515 citations Bryan Coburn, B. Brett Finlay et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bryan Coburn Canada	29	1.3k	915	908	844	655	82	3.7k
Michael Hogardt Germany	32	1.3k 1.0×	451 0.5×	971 1.1×	827 1.0×	880 1.3×	112	3.7k
Tsuyoshi Sekizuka Japan	35	1.2k 0.9×	438 0.5×	2.0k 2.2×	495 0.6×	955 1.5×	199	4.7k
Junkal Garmendia Spain	33	1.0k 0.8×	469 0.5×	741 0.8×	1.3k 1.6×	612 0.9×	79	3.4k
David Skurnik France	31	2.1k 1.6×	751 0.8×	949 1.0×	1.2k 1.5×	715 1.1×	56	4.8k
Michio Ohta Japan	37	1.8k 1.4×	364 0.4×	1.0k 1.1×	645 0.8×	515 0.8×	217	4.5k
Hester J. Bootsma Netherlands	33	861 0.7×	675 0.7×	872 1.0×	475 0.6×	1.5k 2.2×	72	3.6k
Rebekah DeVinney Canada	28	1.4k 1.1×	649 0.7×	1.4k 1.6×	2.3k 2.8×	710 1.1×	56	5.7k
Sören Schubert Germany	41	1.5k 1.1×	638 0.7×	865 1.0×	1.7k 2.1×	1.2k 1.9×	114	5.2k
Theodore S. Steiner Canada	34	1.1k 0.8×	771 0.8×	2.3k 2.6×	971 1.2×	975 1.5×	97	5.9k
Yin-Ching Chuang Taiwan	43	837 0.6×	477 0.5×	1.1k 1.2×	1.4k 1.6×	1.6k 2.4×	179	5.8k

Countries citing papers authored by Bryan Coburn

Since Specialization

Citations

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

Fields of papers citing papers by Bryan Coburn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Coburn

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Coburn. A scholar is included among the top collaborators of Bryan Coburn 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 Bryan Coburn. Bryan Coburn 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

Liu, Rachel, James Pollock, Sanja Huibner, et al.. (2025). Quantitative profiling of the vaginal microbiota improves resolution of the microbiota-immune axis. Microbiome. 13(1). 39–39. 5 indexed citations

Heirali, Alya, Pierre H. H. Schneeberger, Helen Chen, et al.. (2025). Assessment of ecological fidelity of human microbiome-associated mice in observational studies and an interventional trial. mBio. 16(11). e0190425–e0190425.

Schneeberger, Pierre H. H., et al.. (2025). Lung microbiome quantification and bacterial density as prognostic markers in lung transplantation. The Journal of Heart and Lung Transplantation. 45(4). 592–602.

Liu, Rachel, Ronald M. Galiwango, Daniel E. Park, et al.. (2025). Gardnerella vaginalis-binding IgA in the urethra of sexually experienced males. Microbiome. 13(1). 29–29.

Ghosh, Hiren, Sandra Reuter, Hajo Grundmann, et al.. (2024). Rapid inference of antibiotic susceptibility phenotype of uropathogens using metagenomic sequencing with neighbor typing. Microbiology Spectrum. 13(1). e0136624–e0136624. 1 indexed citations

Hemmerling, Anke, Steve Miller, Sanja Huibner, et al.. (2024). Vaginal Lactobacillus crispatus persistence following application of a live biotherapeutic product: colonization phenotypes and genital immune impact. Microbiome. 12(1). 110–110. 9 indexed citations

Galiwango, Ronald M., et al.. (2023). Soluble E‐cadherin: A marker of genital epithelial disruption. American Journal of Reproductive Immunology. 89(3). e13674–e13674. 10 indexed citations

Cochrane, Kyla, Susy Hota, Susan M. Poutanen, et al.. (2023). A microbial consortium alters intestinal Pseudomonadota and antimicrobial resistance genes in individuals with recurrent Clostridioides difficile infection. mBio. 14(4). e0348222–e0348222. 4 indexed citations

Spreafico, Anna, Alya Heirali, Daniel Vilarim Araújo, et al.. (2023). First-in-class Microbial Ecosystem Therapeutic 4 (MET4) in combination with immune checkpoint inhibitors in patients with advanced solid tumors (MET4-IO trial). Annals of Oncology. 34(6). 520–530. 48 indexed citations

10.

Schneeberger, Pierre H. H., Bo Chen, Wei Xu, et al.. (2022). Lung Allograft Microbiome Association with Gastroesophageal Reflux, Inflammation, and Allograft Dysfunction. American Journal of Respiratory and Critical Care Medicine. 206(12). 1495–1507. 13 indexed citations

11.

Yau, Yvonne, Nancy McDonald, Matthew R. Parsek, et al.. (2022). Pseudomonas aeruginosa aggregation and Psl expression in sputum is associated with antibiotic eradication failure in children with cystic fibrosis. Scientific Reports. 12(1). 21444–21444. 11 indexed citations

12.

MacFadden, Derek R., Bryan Coburn, Karel Břinda, et al.. (2020). Using Genetic Distance from Archived Samples for the Prediction of Antibiotic Resistance in Escherichia coli. Antimicrobial Agents and Chemotherapy. 64(5). 8 indexed citations

13.

Oliva, Marc, Scott Jennings, Rachel Taylor, et al.. (2020). 977TiP Role of microbiome as a biomarker in locoregionally-advanced oropharyngeal squamous cell carcinoma 2 (ROMA LA-OPSCC2). Annals of Oncology. 31. S685–S686. 1 indexed citations

14.

Araújo, Daniel Vilarim, Marc Oliva, Alya Heirali, et al.. (2020). Bugs as drugs: The role of microbiome in cancer focusing on immunotherapeutics. Cancer Treatment Reviews. 92. 102125–102125. 16 indexed citations

15.

Clark, Shawn T., Yu Zhang, Pauline W. Wang, et al.. (2019). Penicillin-binding protein 3 is a common adaptive target among Pseudomonas aeruginosa isolates from adult cystic fibrosis patients treated with β-lactams. International Journal of Antimicrobial Agents. 53(5). 620–628. 25 indexed citations

16.

Caballero, Julio Diaz, Shawn T. Clark, Pauline W. Wang, et al.. (2018). A genome-wide association analysis reveals a potential role for recombination in the evolution of antimicrobial resistance in Burkholderia multivorans. PLoS Pathogens. 14(12). e1007453–e1007453. 19 indexed citations

17.

MacFadden, Derek R., Bryan Coburn, Nirav Shah, et al.. (2018). Decision-support models for empiric antibiotic selection in Gram-negative bloodstream infections. Clinical Microbiology and Infection. 25(1). 108.e1–108.e7. 40 indexed citations

18.

Hota, Susy, et al.. (2018). Regional variability in fecal microbiota transplantation practices: a survey of the Southern Ontario Fecal Microbiota Transplantation Movement. CMAJ Open. 6(2). E184–E190. 10 indexed citations

19.

Coombes, Brian K., Bryan Coburn, Andrew Potter, et al.. (2005). Analysis of the Contribution of Salmonella Pathogenicity Islands 1 and 2 to Enteric Disease Progression Using a Novel Bovine Ileal Loop Model and a Murine Model of Infectious Enterocolitis. Infection and Immunity. 73(11). 7161–7169. 131 indexed citations

20.

Zaharik, Michelle L., Stephen J. Libby, Bryan Coburn, et al.. (2004). The Salmonella enterica Serovar Typhimurium Divalent Cation Transport Systems MntH and SitABCD Are Essential for Virulence in an Nramp1 ^G169 Murine Typhoid Model. Infection and Immunity. 72(9). 5522–5525. 102 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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