Brian J. Werth
Impact in
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- Antibiotic Use and Resistance
- Clinical Biochemistry top 1%
- Bacterial Identification and Susceptibility Testing
Papers in
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- Antimicrobial Resistance in Staphylococcus 29
- Antifungal resistance and susceptibility 4
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- Bacterial Identification and Susceptibility Testing 10
- Co-authors
- Michael J. Rybak (15 shared papers)George Sakoulas (10 shared papers)Katie E. Barber (6 shared papers)Susan M. Butler‐Wu (5 shared papers)Stephen J. Salipante (9 shared papers)Adam Waalkes (9 shared papers)Robert M. Rakita (3 shared papers)Joe Pogliano (5 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (13 papers)Journal of Antimicrobial Chemotherapy (8 papers)Clinical Microbiology and Infection (3 papers)mSphere (2 papers)Frontiers in Molecular Biosciences (2 papers)
- Partner nations
- United StatesSwitzerlandTanzania
In The Last Decade
Brian J. Werth
47 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Applied Microbiology and Biotechnology 112
- Clinical Biochemistry 352
- Infectious Diseases 750
- Molecular Medicine 208
- Endocrinology 114
Countries citing papers authored by Brian J. Werth
This map shows the geographic impact of Brian J. Werth'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 Brian J. Werth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian J. Werth more than expected).
Fields of papers citing papers by Brian J. Werth
This network shows the impact of papers produced by Brian J. Werth. 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 Brian J. Werth. The network helps show where Brian J. Werth may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian J. Werth, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 111 | |
| 2 | 2017 | 90 | |
| 3 | 2017 | 71 | |
| 4 | 2016 | 62 | |
| 5 | 2013 | 58 | |
| 6 | 2020 | 57 | |
| 7 | 2016 | 57 | |
| 8 | 2013 | 52 | |
| 9 | 2014 | 50 | |
| 10 | 2013 | 49 | |
| 11 | 2014 | 47 | |
| 12 | 2014 | 46 | |
| 13 | 1991 | 43 | |
| 14 | 2014 | 41 | |
| 15 | 2014 | 40 | |
| 16 | 2015 | 37 | |
| 17 | 2014 | 37 | |
| 18 | 2020 | 37 | |
| 19 | 2014 | 37 | |
| 20 | 2019 | 35 |
About Brian J. Werth
Brian J. Werth is a scholar working on Infectious Diseases, Clinical Biochemistry, Pharmacology, Molecular Biology and Epidemiology, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (29 papers), Bacterial Identification and Susceptibility Testing (10 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Streptococcal Infections and Treatments (4 papers), Antifungal resistance and susceptibility (4 papers), Antibiotic Resistance in Bacteria (4 papers), Infective Endocarditis Diagnosis and Management (4 papers) and Bacterial biofilms and quorum sensing (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (112 citations), Clinical Biochemistry (352 citations), Infectious Diseases (750 citations), Molecular Medicine (208 citations) and Endocrinology (114 citations). Brian J. Werth has collaborated with scholars based in United States, Switzerland and Tanzania. Frequent co-authors include Michael J. Rybak, George Sakoulas, Katie E. Barber, Susan M. Butler‐Wu, Stephen J. Salipante, Adam Waalkes, Robert M. Rakita, Joe Pogliano, Poochit Nonejuie and Libin Xu. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, Clinical Microbiology and Infection, mSphere and Frontiers in Molecular Biosciences.
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.