Geoffrey A. McKay
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 12
- Endocrinology top 1%
- Microbiology top 2%
- Antimicrobial Peptides and Activities 4
- Infectious Diseases top 2%
- Antimicrobial Resistance in Staphylococcus 12
- Clinical Biochemistry top 2%
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- Antibiotics Pharmacokinetics and Efficacy 11
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- Bacterial biofilms and quorum sensing 10
- RNA and protein synthesis mechanisms 6
- Biochemical and Molecular Research 4
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- Bacterial Genetics and Biotechnology 5
- Co-authors
- Gerard D. WrightDao NguyenGreg MoeckFrancis F. ArhinThomas ParrAdam BelleyPaul R. ThompsonFrançois Lépine
- Journals
- Antimicrobial Agents and Chemotherapy (8 papers)Journal of Biological Chemistry (3 papers)Biochemistry (3 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Geoffrey A. McKay
48 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Medicine 918
- Endocrinology 307
- Microbiology 271
- Infectious Diseases 660
- Clinical Biochemistry 170
Countries citing papers authored by Geoffrey A. McKay
This map shows the geographic impact of Geoffrey A. McKay'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 Geoffrey A. McKay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey A. McKay more than expected).
Fields of papers citing papers by Geoffrey A. McKay
This network shows the impact of papers produced by Geoffrey A. McKay. 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 Geoffrey A. McKay. The network helps show where Geoffrey A. McKay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Geoffrey A. McKay, 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 | 2026 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 67 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 78 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 28 | |
| 12 | 2018 | 79 | |
| 13 | 2017 | 21 | |
| 14 | 2010 | 96 | |
| 15 | 2009 | 114 | |
| 16 | 2009 | 16 | |
| 17 | Impact of Human Serum Albumin (HSA) on Oritavancin (ORI) In Vitro Activity Against Enterococci | 2008 | 1 |
| 18 | 2005 | 17 | |
| 19 | 1997 | 189 | |
| 20 | 1994 | 20 |
About Geoffrey A. McKay
Geoffrey A. McKay is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 50 papers that have together received 2.7k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (12 papers), Antibiotic Resistance in Bacteria (12 papers), Antibiotics Pharmacokinetics and Efficacy (11 papers), Bacterial biofilms and quorum sensing (10 papers), RNA and protein synthesis mechanisms (6 papers), Bacterial Genetics and Biotechnology (5 papers), Biochemical and Molecular Research (4 papers) and Antimicrobial Peptides and Activities (4 papers). The work is most often cited by research in Molecular Medicine (918 citations), Endocrinology (307 citations) and Microbiology (271 citations). Geoffrey A. McKay has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Gerard D. Wright, Dao Nguyen, Greg Moeck, Francis F. Arhin, Thomas Parr, Adam Belley, Paul R. Thompson, François Lépine, Keith Poole and Yun Wang. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Biological Chemistry, Biochemistry, Bioorganic & Medicinal Chemistry Letters and Nature Nanotechnology.
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.