Nicky O’Boyle
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 10
- Vibrio bacteria research studies 8
- Genetics 10
- Bacterial Genetics and Biotechnology 9
- Evolution and Genetic Dynamics 3
- Co-authors
- Andrew J. Roe (18 shared papers)Aoife Boyd (3 shared papers)James P. R. Connolly (13 shared papers)Lokesh Joshi (1 shared paper)Michelle Kilcoyne (1 shared paper)Catherine C. Berry (3 shared papers)Robert L. Davies (3 shared papers)Paul A. Hoskisson (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Scientific Reports (2 papers)Microbiology (2 papers)PLoS ONE (2 papers)Microbial Cell (1 paper)
- Partner nations
- United KingdomIrelandAustralia
In The Last Decade
Nicky O’Boyle
23 papers receiving 277 citations
Peers
Comparison fields: 5 of 60
- Endocrinology 144
- Molecular Medicine 42
- Immunology 62
- Microbiology 14
- Genetics 58
Countries citing papers authored by Nicky O’Boyle
This map shows the geographic impact of Nicky O’Boyle'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 Nicky O’Boyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicky O’Boyle more than expected).
Fields of papers citing papers by Nicky O’Boyle
This network shows the impact of papers produced by Nicky O’Boyle. 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 Nicky O’Boyle. The network helps show where Nicky O’Boyle may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicky O’Boyle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 45 | |
| 2 | 2013 | 42 | |
| 3 | 2014 | 39 | |
| 4 | 2018 | 23 | |
| 5 | 2017 | 17 | |
| 6 | 2019 | 16 | |
| 7 | 2020 | 13 | |
| 8 | 2023 | 11 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2018 | 8 | |
| 12 | 2020 | 8 | |
| 13 | 2017 | 8 | |
| 14 | 2020 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2020 | 2 |
About Nicky O’Boyle
Nicky O’Boyle is a scholar working on Endocrinology, Genetics, Molecular Medicine, Molecular Biology and Biochemistry, having authored 24 papers that have together received 277 indexed citations. Recurring topics across this work include Escherichia coli research studies (10 papers), Bacterial Genetics and Biotechnology (9 papers), Vibrio bacteria research studies (8 papers), Antibiotic Resistance in Bacteria (7 papers), Amino Acid Enzymes and Metabolism (5 papers), Aquaculture disease management and microbiota (4 papers), Gut microbiota and health (4 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Endocrinology (144 citations), Molecular Medicine (42 citations), Immunology (62 citations), Microbiology (14 citations) and Genetics (58 citations). Nicky O’Boyle has collaborated with scholars based in United Kingdom, Ireland and Australia. Frequent co-authors include Andrew J. Roe, Aoife Boyd, James P. R. Connolly, Lokesh Joshi, Michelle Kilcoyne, Catherine C. Berry, Robert L. Davies, Paul A. Hoskisson, Gill Douce and Pawel Herzyk. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports, Microbiology, PLoS ONE and Microbial Cell.
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.