Fergal Casey
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
-
- Single-cell and spatial transcriptomics 4
- Gene Regulatory Network Analysis 4
- Gene expression and cancer classification 3
- Chemical Synthesis and Analysis 3
- Bioinformatics and Genomic Networks 3
- Genetics 8
- Co-authors
- Christopher R. Myers (7 shared papers)James P. Sethna (7 shared papers)Ryan N. Gutenkunst (7 shared papers)Joshua J. Waterfall (7 shared papers)Kevin Brown (5 shared papers)Denis C. Shields (8 shared papers)Emilia Huerta‐Sánchez (4 shared papers)Caitríona Murray (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (4 papers)PLoS Computational Biology (3 papers)Bioinformatics (2 papers)Journal of the American Chemical Society (1 paper)Irish University Review (1 paper)
- Partner nations
- United StatesIrelandIsrael
In The Last Decade
Fergal Casey
36 papers receiving 3.0k citations
Fergal Casey's Hit Papers
Peers
Comparison fields: 5 of 160
- Cancer Research 517
- Oncology 609
- Molecular Biology 1.4k
- Modeling and Simulation 87
- Biophysics 91
Countries citing papers authored by Fergal Casey
This map shows the geographic impact of Fergal Casey'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 Fergal Casey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fergal Casey more than expected).
Fields of papers citing papers by Fergal Casey
This network shows the impact of papers produced by Fergal Casey. 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 Fergal Casey. The network helps show where Fergal Casey may publish in the future.
Co-authors
The 25 scholars most cited alongside Fergal Casey, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response Hit paper breakdown → | 2015 | 1087 |
| 2 | Universally Sloppy Parameter Sensitivities in Systems Biology Models Hit paper breakdown → | 2007 | 912 |
| 3 | 2021 | 198 | |
| 4 | 2006 | 112 | |
| 5 | 2012 | 69 | |
| 6 | 2010 | 66 | |
| 7 | 2013 | 61 | |
| 8 | 2007 | 59 | |
| 9 | 2013 | 55 | |
| 10 | 2007 | 47 | |
| 11 | 2016 | 41 | |
| 12 | 2020 | 34 | |
| 13 | 2008 | 34 | |
| 14 | 2018 | 33 | |
| 15 | 2005 | 31 | |
| 16 | 2015 | 29 | |
| 17 | 2009 | 26 | |
| 18 | 2021 | 23 | |
| 19 | 2018 | 20 | |
| 20 | 2007 | 16 |
About Fergal Casey
Fergal Casey is a scholar working on Molecular Biology, Genetics, Cancer Research, Molecular Medicine and Computational Theory and Mathematics, having authored 40 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Computational Drug Discovery Methods (4 papers), Single-cell and spatial transcriptomics (4 papers), Gene Regulatory Network Analysis (4 papers), Gene expression and cancer classification (3 papers), Antibiotic Resistance in Bacteria (3 papers), Chemical Synthesis and Analysis (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Cancer Research (517 citations), Oncology (609 citations), Molecular Biology (1.4k citations), Modeling and Simulation (87 citations) and Biophysics (91 citations). Fergal Casey has collaborated with scholars based in United States, Ireland and Israel. Frequent co-authors include Christopher R. Myers, James P. Sethna, Ryan N. Gutenkunst, Joshua J. Waterfall, Kevin Brown, Denis C. Shields, Emilia Huerta‐Sánchez, Caitríona Murray, Daniel G. Bradley and Brian James Schmidt. Their work appears in journals such as Journal of Chemical Information and Modeling, PLoS Computational Biology, Bioinformatics, Journal of the American Chemical Society and Irish University Review.
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.