Shawn M. D. Bearson
- Endocrinology top 0.5%
- Escherichia coli research studies 9
- Food Science top 0.5%
- Salmonella and Campylobacter epidemiology 49
- Probiotics and Fermented Foods 12
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 14
- Microbiology top 2%
- Biotechnology top 2%
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- Viral gastroenteritis research and epidemiology 20
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- Bacteriophages and microbial interactions 13
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- Bacterial Genetics and Biotechnology 12
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- Aquaculture disease management and microbiota 12
- Co-authors
- Bradley L. BearsonJohn W. FosterBrian W. BrunelleChristopher K. TuggleJ.J. UtheW. Edward SwordsW H BenjaminIn Soo Lee
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)Applied and Environmental Microbiology (2 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Shawn M. D. Bearson
75 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 119
- Endocrinology 542
- Food Science 1.0k
- Molecular Medicine 225
- Microbiology 231
- Biotechnology 270
Countries citing papers authored by Shawn M. D. Bearson
This map shows the geographic impact of Shawn M. D. Bearson'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 Shawn M. D. Bearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn M. D. Bearson more than expected).
Fields of papers citing papers by Shawn M. D. Bearson
This network shows the impact of papers produced by Shawn M. D. Bearson. 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 Shawn M. D. Bearson. The network helps show where Shawn M. D. Bearson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shawn M. D. Bearson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2021 | 8 | |
| 5 | 2020 | 3 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 15 | |
| 8 | 2018 | 16 | |
| 9 | 2018 | 9 | |
| 10 | 2016 | 19 | |
| 11 | 2015 | 31 | |
| 12 | 2014 | 10 | |
| 13 | 2012 | 26 | |
| 14 | 2011 | 20 | |
| 15 | 2010 | 8 | |
| 16 | 2008 | 38 | |
| 17 | 2007 | 32 | |
| 18 | 2006 | 39 | |
| 19 | 2003 | 10 | |
| 20 | 2002 | 29 |
About Shawn M. D. Bearson
Shawn M. D. Bearson is a scholar working on Food Science, Molecular Medicine and Endocrinology, having authored 76 papers that have together received 2.5k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (49 papers), Viral gastroenteritis research and epidemiology (20 papers), Antibiotic Resistance in Bacteria (14 papers), Bacteriophages and microbial interactions (13 papers), Probiotics and Fermented Foods (12 papers), Bacterial Genetics and Biotechnology (12 papers), Aquaculture disease management and microbiota (12 papers) and Escherichia coli research studies (9 papers). The work is most often cited by research in Endocrinology (542 citations), Food Science (1.0k citations) and Molecular Medicine (225 citations). Shawn M. D. Bearson has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Bradley L. Bearson, John W. Foster, Brian W. Brunelle, Christopher K. Tuggle, J.J. Uthe, W. Edward Swords, W H Benjamin, In Soo Lee, Dan Nettleton and Robert P. Gunsalus. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.
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.