Aisling R. Caffrey
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- Antibiotic Use and Resistance 20
- Clinical Biochemistry top 0.5%
- Bacterial Identification and Susceptibility Testing 20
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 9
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus 18
- Clostridium difficile and Clostridium perfringens research 10
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- Pneumonia and Respiratory Infections 11
- Urinary Tract Infections Management 11
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- Antibiotics Pharmacokinetics and Efficacy 8
- Co-authors
- Kerry L. LaPlanteTristan T. TimbrookJacob MortonKevin W. McConeghyHaley J. MorrillEleftherios MylonakisDavid DosaMegan K. Luther
- Journals
- Nature Communications (2 papers)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesChileGermany
In The Last Decade
Aisling R. Caffrey
81 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Applied Microbiology and Biotechnology 379
- Clinical Biochemistry 508
- Molecular Medicine 207
- Infectious Diseases 530
- Critical Care and Intensive Care Medicine 100
Countries citing papers authored by Aisling R. Caffrey
This map shows the geographic impact of Aisling R. Caffrey'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 Aisling R. Caffrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aisling R. Caffrey more than expected).
Fields of papers citing papers by Aisling R. Caffrey
This network shows the impact of papers produced by Aisling R. Caffrey. 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 Aisling R. Caffrey. The network helps show where Aisling R. Caffrey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aisling R. Caffrey, 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 | 4 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 12 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 19 | |
| 15 | 2019 | 10 | |
| 16 | 2019 | 11 | |
| 17 | 2019 | 1 | |
| 18 | 2019 | 3 | |
| 19 | 2018 | 62 | |
| 20 | 2018 | 1 |
About Aisling R. Caffrey
Aisling R. Caffrey is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Toxicology, having authored 84 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (20 papers), Bacterial Identification and Susceptibility Testing (20 papers), Antimicrobial Resistance in Staphylococcus (18 papers), Pneumonia and Respiratory Infections (11 papers), Urinary Tract Infections Management (11 papers), Clostridium difficile and Clostridium perfringens research (10 papers), Antibiotic Resistance in Bacteria (9 papers) and Antibiotics Pharmacokinetics and Efficacy (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (379 citations), Clinical Biochemistry (508 citations) and Molecular Medicine (207 citations). Aisling R. Caffrey has collaborated with scholars based in United States, Chile and Germany. Frequent co-authors include Kerry L. LaPlante, Tristan T. Timbrook, Jacob Morton, Kevin W. McConeghy, Haley J. Morrill, Eleftherios Mylonakis, David Dosa, Megan K. Luther, Haley J. Appaneal and Brian J. Quilliam. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.