Y. Abbott
Impact in
- Clinical Biochemistry top 1%
- Bacterial Identification and Susceptibility Testing
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antimicrobial Resistance in Staphylococcus 11
- Clostridium difficile and Clostridium perfringens research 3
-
- Bacterial Identification and Susceptibility Testing 8
- Co-authors
- Finola C. Leonard (10 shared papers)Bryan Markey (10 shared papers)Séamus Fanning (4 shared papers)Angela S. Rossney (4 shared papers)Rebecca O’Mahony (3 shared papers)P.J. Quinn (3 shared papers)Patrick J. Pollock (1 shared paper)Nola Leonard (2 shared papers)
- Journals
- Veterinary Record (4 papers)Veterinary Microbiology (2 papers)Journal of Small Animal Practice (2 papers)Journal of Antimicrobial Chemotherapy (2 papers)Epidemiology and Infection (1 paper)
- Partner nations
- IrelandUnited KingdomUnited States
In The Last Decade
Y. Abbott
17 papers receiving 628 citations
Peers
Comparison fields: 5 of 56
- Clinical Biochemistry 274
- Molecular Medicine 132
- Infectious Diseases 421
- Endocrinology 99
- Microbiology 98
Countries citing papers authored by Y. Abbott
This map shows the geographic impact of Y. Abbott'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 Y. Abbott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Abbott more than expected).
Fields of papers citing papers by Y. Abbott
This network shows the impact of papers produced by Y. Abbott. 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 Y. Abbott. The network helps show where Y. Abbott may publish in the future.
Co-authors
The 25 scholars most cited alongside Y. Abbott, 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 | 2005 | 184 | |
| 2 | 2006 | 116 | |
| 3 | 2011 | 81 | |
| 4 | 2009 | 62 | |
| 5 | 2006 | 50 | |
| 6 | 2010 | 33 | |
| 7 | 2016 | 21 | |
| 8 | 2010 | 21 | |
| 9 | 2005 | 19 | |
| 10 | 2010 | 16 | |
| 11 | 2010 | 14 | |
| 12 | 2010 | 11 | |
| 13 | 2008 | 10 | |
| 14 | 2010 | 10 | |
| 15 | 2012 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2011 | 5 |
About Y. Abbott
Y. Abbott is a scholar working on Infectious Diseases, Clinical Biochemistry, Molecular Biology, Public Health, Environmental and Occupational Health and Endocrinology, having authored 17 papers that have together received 671 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (11 papers), Bacterial Identification and Susceptibility Testing (8 papers), Streptococcal Infections and Treatments (6 papers), Bacterial biofilms and quorum sensing (5 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Antibiotic Resistance in Bacteria (3 papers), Diphtheria, Corynebacterium, and Tetanus (2 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Clinical Biochemistry (274 citations), Molecular Medicine (132 citations), Infectious Diseases (421 citations), Endocrinology (99 citations) and Microbiology (98 citations). Y. Abbott has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Finola C. Leonard, Bryan Markey, Séamus Fanning, Angela S. Rossney, Rebecca O’Mahony, P.J. Quinn, Patrick J. Pollock, Nola Leonard, Maria Karczmarczyk and C.T. Walsh. Their work appears in journals such as Veterinary Record, Veterinary Microbiology, Journal of Small Animal Practice, Journal of Antimicrobial Chemotherapy and Epidemiology and Infection.
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.