Eric Utt
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Bacterial biofilms and quorum sensing 2
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- Antifungal resistance and susceptibility 4
- Antimicrobial Resistance in Staphylococcus 3
- Co-authors
- L. O. Ingram (3 shared papers)Kylie F. Keshav (2 shared papers)C K Eddy (2 shared papers)Gregory G. Stone (6 shared papers)Harald Seifert (1 shared paper)Joseph M. Blondeau (1 shared paper)Daniel F. Sahm (2 shared papers)Charles D. Wells (1 shared paper)
- Journals
- Infection and Drug Resistance (2 papers)Future Microbiology (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Applied and Environmental Microbiology (2 papers)Annals of the New York Academy of Sciences (2 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Eric Utt
24 papers receiving 343 citations
Peers
Comparison fields: 5 of 63
- Applied Microbiology and Biotechnology 45
- Molecular Medicine 95
- Biotechnology 91
- Endocrinology 34
- Microbiology 34
Countries citing papers authored by Eric Utt
This map shows the geographic impact of Eric Utt'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 Eric Utt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Utt more than expected).
Fields of papers citing papers by Eric Utt
This network shows the impact of papers produced by Eric Utt. 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 Eric Utt. The network helps show where Eric Utt may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Utt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 92 | |
| 2 | 2022 | 31 | |
| 3 | 1991 | 29 | |
| 4 | 2021 | 29 | |
| 5 | 1989 | 22 | |
| 6 | 2023 | 21 | |
| 7 | 2023 | 21 | |
| 8 | 1995 | 19 | |
| 9 | 1994 | 16 | |
| 10 | 2016 | 14 | |
| 11 | 1995 | 13 | |
| 12 | 2015 | 12 | |
| 13 | 1994 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2015 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Eric Utt
Eric Utt is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Molecular Medicine and Pharmacology, having authored 26 papers that have together received 354 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Antibiotic Use and Resistance (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Antifungal resistance and susceptibility (4 papers), Pneumonia and Respiratory Infections (4 papers), Fungal Infections and Studies (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (45 citations), Molecular Medicine (95 citations), Biotechnology (91 citations), Endocrinology (34 citations) and Microbiology (34 citations). Eric Utt has collaborated with scholars based in United States, France and Canada. Frequent co-authors include L. O. Ingram, Kylie F. Keshav, C K Eddy, Gregory G. Stone, Harald Seifert, Joseph M. Blondeau, Daniel F. Sahm, Charles D. Wells, Mark G. Wise and Lalitagauri M. Deshpande. Their work appears in journals such as Infection and Drug Resistance, Future Microbiology, Antimicrobial Agents and Chemotherapy, Applied and Environmental Microbiology and Annals of the New York Academy of Sciences.
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.