Stephen D. Cole
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotic Use and Resistance 8
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- Antibiotic Resistance in Bacteria 13
- Co-authors
- Shelley C. RankinDaniel P. BeitingAna M. MisicLaurel E. ReddingDavid AllmanDaniela GómezDerek D. JonesJoel R. Wilmore
- Journals
- Journal of the American Veterinary Medical Association (6 papers)Veterinary Dermatology (5 papers)Journal of Veterinary Medical Education (3 papers)American Journal of Veterinary Research (3 papers)Journal of Veterinary Diagnostic Investigation (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Stephen D. Cole
36 papers receiving 579 citations
Peers
Comparison fields: 5 of 104
- Applied Microbiology and Biotechnology 43
- Molecular Medicine 97
- Clinical Biochemistry 68
- Endocrinology 50
- Infectious Diseases 157
Countries citing papers authored by Stephen D. Cole
This map shows the geographic impact of Stephen D. Cole'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 Stephen D. Cole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen D. Cole more than expected).
Fields of papers citing papers by Stephen D. Cole
This network shows the impact of papers produced by Stephen D. Cole. 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 Stephen D. Cole. The network helps show where Stephen D. Cole may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen D. Cole, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 17 | |
| 14 | 2023 | 0 | |
| 15 | 2022 | 0 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 4 | |
| 18 | 2019 | 6 | |
| 19 | 2017 | 79 | |
| 20 | 2013 | 18 |
About Stephen D. Cole
Stephen D. Cole is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Endocrinology, Clinical Biochemistry and Microbiology, having authored 45 papers that have together received 589 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Bacterial Identification and Susceptibility Testing (11 papers), Antibiotic Use and Resistance (8 papers), Microbial infections and disease research (6 papers), Vibrio bacteria research studies (5 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Enterobacteriaceae and Cronobacter Research (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (43 citations), Molecular Medicine (97 citations), Clinical Biochemistry (68 citations), Endocrinology (50 citations) and Infectious Diseases (157 citations). Stephen D. Cole has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Shelley C. Rankin, Daniel P. Beiting, Ana M. Misic, Laurel E. Redding, David Allman, Daniela Gómez, Derek D. Jones, Joel R. Wilmore, Brian T. Gaudette and Olgica Cerić. Their work appears in journals such as Journal of the American Veterinary Medical Association, Veterinary Dermatology, Journal of Veterinary Medical Education, American Journal of Veterinary Research and Journal of Veterinary Diagnostic Investigation.
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.