Fiona McCarthy
Impact in
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
- Animal Science and Zoology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 16
- Bioinformatics and Genomic Networks 14
- Gene expression and cancer classification 7
- Microbial Metabolic Engineering and Bioproduction 4
- Co-authors
- Shane C. Burgess (26 shared papers)Bindu Nanduri (8 shared papers)Susan M. Bridges (11 shared papers)Cathy Gresham (6 shared papers)Mais Ammari (5 shared papers)Dawn S. Luthe (3 shared papers)W. Paul Williams (3 shared papers)Timothy J. Mahony (7 shared papers)
- Journals
- PLoS ONE (7 papers)BMC Bioinformatics (7 papers)BMC Genomics (5 papers)Database (3 papers)Nucleic Acids Research (3 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Fiona McCarthy
67 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 121
- Agronomy and Crop Science 188
- Animal Science and Zoology 164
- Equine 25
- Genetics 398
- Molecular Biology 914
Countries citing papers authored by Fiona McCarthy
This map shows the geographic impact of Fiona McCarthy'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 Fiona McCarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona McCarthy more than expected).
Fields of papers citing papers by Fiona McCarthy
This network shows the impact of papers produced by Fiona McCarthy. 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 Fiona McCarthy. The network helps show where Fiona McCarthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Fiona McCarthy, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 249 | |
| 2 | 2016 | 220 | |
| 3 | 1994 | 140 | |
| 4 | 2006 | 85 | |
| 5 | 2013 | 85 | |
| 6 | 2005 | 72 | |
| 7 | 2005 | 66 | |
| 8 | 2007 | 66 | |
| 9 | 2015 | 64 | |
| 10 | 2010 | 62 | |
| 11 | 2014 | 53 | |
| 12 | 2010 | 53 | |
| 13 | 2014 | 50 | |
| 14 | 2007 | 48 | |
| 15 | 2009 | 47 | |
| 16 | 2002 | 46 | |
| 17 | 2008 | 43 | |
| 18 | 2008 | 42 | |
| 19 | 2006 | 37 | |
| 20 | 2014 | 37 |
About Fiona McCarthy
Fiona McCarthy is a scholar working on Molecular Biology, Immunology, Genetics, Spectroscopy and Ecology, Evolution, Behavior and Systematics, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Bioinformatics and Genomic Networks (14 papers), Gene expression and cancer classification (7 papers), Advanced Proteomics Techniques and Applications (6 papers), Herpesvirus Infections and Treatments (4 papers), Animal Disease Management and Epidemiology (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Agronomy and Crop Science (188 citations), Animal Science and Zoology (164 citations), Equine (25 citations), Genetics (398 citations) and Molecular Biology (914 citations). Fiona McCarthy has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Shane C. Burgess, Bindu Nanduri, Susan M. Bridges, Cathy Gresham, Mais Ammari, Dawn S. Luthe, W. Paul Williams, Timothy J. Mahony, Amanda M. Cooksey and Bindu Nanduri. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, BMC Genomics, Database and Nucleic Acids Research.
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.