J. Ross Fitzgerald
- Infectious Diseases top 0.1%
- Antimicrobial Resistance in Staphylococcus 71
- Clinical Biochemistry top 0.1%
- Bacterial Identification and Susceptibility Testing 14
- Microbiology top 0.2%
- Agronomy and Crop Science top 0.5%
- Milk Quality and Mastitis in Dairy Cows 13
- Biotechnology top 0.5%
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- Bacterial biofilms and quorum sensing 35
- Genomics and Phylogenetic Studies 15
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- Streptococcal Infections and Treatments 17
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- Bacteriophages and microbial interactions 16
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- Bacterial Genetics and Biotechnology 14
- Co-authors
- James M. MusserDermot CoxTimothy J. FosterNouri L. Ben ZakourJosé R. PenadésCyril J. SmythP.J. HartiganCaitriona M. Guinane
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
J. Ross Fitzgerald
108 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Infectious Diseases 4.7k
- Clinical Biochemistry 1.3k
- Microbiology 1.0k
- Agronomy and Crop Science 899
- Biotechnology 677
Countries citing papers authored by J. Ross Fitzgerald
This map shows the geographic impact of J. Ross Fitzgerald'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 J. Ross Fitzgerald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Ross Fitzgerald more than expected).
Fields of papers citing papers by J. Ross Fitzgerald
This network shows the impact of papers produced by J. Ross Fitzgerald. 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 J. Ross Fitzgerald. The network helps show where J. Ross Fitzgerald may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Ross Fitzgerald, 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 | 2024 | 10 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2022 | 25 | |
| 6 | 2022 | 2 | |
| 7 | Diversity and pathogenesis of Staphylococcus aureus from bovine mastitis: current understanding and future perspectivesbreakdown → | 2022 | 114 |
| 8 | 2021 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2019 | 39 | |
| 11 | 2019 | 19 | |
| 12 | 2018 | 14 | |
| 13 | 2018 | 156 | |
| 14 | 2017 | 34 | |
| 15 | 2017 | 40 | |
| 16 | 2014 | 33 | |
| 17 | 2013 | 10 | |
| 18 | 2010 | 162 | |
| 19 | 2009 | 313 | |
| 20 | 2001 | 93 |
About J. Ross Fitzgerald
J. Ross Fitzgerald is a scholar working on Infectious Diseases, Microbiology and Clinical Biochemistry, having authored 111 papers that have together received 7.8k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (71 papers), Bacterial biofilms and quorum sensing (35 papers), Streptococcal Infections and Treatments (17 papers), Bacteriophages and microbial interactions (16 papers), Genomics and Phylogenetic Studies (15 papers), Bacterial Identification and Susceptibility Testing (14 papers), Bacterial Genetics and Biotechnology (14 papers) and Milk Quality and Mastitis in Dairy Cows (13 papers). The work is most often cited by research in Infectious Diseases (4.7k citations), Clinical Biochemistry (1.3k citations) and Microbiology (1.0k citations). J. Ross Fitzgerald has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include James M. Musser, Dermot Cox, Timothy J. Foster, Nouri L. Ben Zakour, José R. Penadés, Cyril J. Smyth, P.J. Hartigan, Caitriona M. Guinane, William J. Meaney and Paul R. McAdam. Their work appears in journals such as Science, Cell and Proceedings of the National 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.