John Conly
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- Antibiotic Use and Resistance 47
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria 30
- Clinical Biochemistry top 0.05%
- Bacterial Identification and Susceptibility Testing 56
- Infectious Diseases top 0.1%
- Antimicrobial Resistance in Staphylococcus 74
- SARS-CoV-2 and COVID-19 Research 23
- SARS-CoV-2 detection and testing 19
- Endocrinology top 0.5%
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- Infection Control and Ventilation 27
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- Bacterial biofilms and quorum sensing 22
- Co-authors
- Kunyan ZhangThomas LouieSameer ElsayedJo‐Ann McClureMelissa SevernKhai TranKaren CimonCarmem L Pessoa-Silva
- Journals
- Infection Control and Hospital Epidemiology (24 papers)Antimicrobial Resistance and Infection Control (14 papers)F1000Research (11 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
John Conly
307 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Applied Microbiology and Biotechnology 835
- Molecular Medicine 1.4k
- Clinical Biochemistry 1.9k
- Infectious Diseases 4.5k
- Endocrinology 535
Countries citing papers authored by John Conly
This map shows the geographic impact of John Conly'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 John Conly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Conly more than expected).
Fields of papers citing papers by John Conly
This network shows the impact of papers produced by John Conly. 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 John Conly. The network helps show where John Conly may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Conly, 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 | 2023 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 32 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 29 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 35 | |
| 14 | 2021 | 17 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 6 | |
| 17 | 2019 | 42 | |
| 18 | 2007 | 24 | |
| 19 | Uncomplicated urinary tract infection in women. Current practice and the effect of antibiotic resistance on empiric treatment. | 2006 | 46 |
| 20 | 1994 | 108 |
About John Conly
John Conly is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Infectious Diseases, having authored 328 papers that have together received 11.8k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (74 papers), Bacterial Identification and Susceptibility Testing (56 papers), Antibiotic Use and Resistance (47 papers), Antibiotic Resistance in Bacteria (30 papers), Infection Control and Ventilation (27 papers), SARS-CoV-2 and COVID-19 Research (23 papers), Bacterial biofilms and quorum sensing (22 papers) and SARS-CoV-2 detection and testing (19 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (835 citations), Molecular Medicine (1.4k citations) and Clinical Biochemistry (1.9k citations). John Conly has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Kunyan Zhang, Thomas Louie, Sameer Elsayed, Jo‐Ann McClure, Melissa Severn, Khai Tran, Karen Cimon, Carmem L Pessoa-Silva, Tom Jefferson and Paul Kubes. Their work appears in journals such as Infection Control and Hospital Epidemiology, Antimicrobial Resistance and Infection Control, F1000Research, Clinical Infectious Diseases and The Journal of Infectious Diseases.
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.