Fergal Casey
Impact in
- Molecular Biology top 10%
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Viral Infectious Diseases and Gene Expression in Insects
- Modeling and Simulation top 5%
Papers in
-
- Single-cell and spatial transcriptomics 5
- Gene Regulatory Network Analysis 4
- Chemical Synthesis and Analysis 3
- RNA and protein synthesis mechanisms 3
- Bioinformatics and Genomic Networks 3
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- Cancer Genomics and Diagnostics 6
- Co-authors
- Joshua J. Waterfall (7 shared papers)James P. Sethna (7 shared papers)Christopher R. Myers (7 shared papers)Ryan N. Gutenkunst (7 shared papers)Kevin Brown (5 shared papers)Denis C. Shields (9 shared papers)Emilia Huerta‐Sánchez (4 shared papers)Daniel G. Bradley (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (4 papers)PLoS Computational Biology (3 papers)Bioinformatics (2 papers)Cancer Research (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesIrelandItaly
In The Last Decade
Fergal Casey
34 papers receiving 1.6k citations
Fergal Casey's Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 927
- Modeling and Simulation 43
- Computational Theory and Mathematics 147
- Biophysics 49
- Genetics 207
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Universally Sloppy Parameter Sensitivities in Systems Biology Models Hit paper breakdown → | 2007 | 898 |
| 2 | 2006 | 113 | |
| 3 | 2012 | 69 | |
| 4 | 2010 | 62 | |
| 5 | 2013 | 60 | |
| 6 | 2007 | 59 | |
| 7 | 2013 | 50 | |
| 8 | 2007 | 47 | |
| 9 | 2016 | 38 | |
| 10 | 2008 | 34 | |
| 11 | 2005 | 33 | |
| 12 | 2015 | 26 | |
| 13 | 2009 | 25 | |
| 14 | 2018 | 19 | |
| 15 | 2007 | 17 | |
| 16 | 2017 | 11 | |
| 17 | 2008 | 7 | |
| 18 | 2008 | 6 | |
| 19 | 2008 | 6 | |
| 20 | 2021 | 5 |
About Fergal Casey
Fergal Casey is a scholar working on Molecular Biology, Cancer Research, Genetics, Computational Theory and Mathematics and Oncology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Single-cell and spatial transcriptomics (5 papers), Computational Drug Discovery Methods (4 papers), Gene Regulatory Network Analysis (4 papers), Chemical Synthesis and Analysis (3 papers), RNA and protein synthesis mechanisms (3 papers), Bioinformatics and Genomic Networks (3 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Molecular Biology (927 citations), Modeling and Simulation (43 citations), Computational Theory and Mathematics (147 citations), Biophysics (49 citations) and Genetics (207 citations). Fergal Casey has collaborated with scholars based in United States, Ireland and Italy. Frequent co-authors include Joshua J. Waterfall, James P. Sethna, Christopher R. Myers, Ryan N. Gutenkunst, Kevin Brown, Denis C. Shields, Emilia Huerta‐Sánchez, Daniel G. Bradley, Caitríona Murray and Brian J. Schmidt. Their work appears in journals such as Journal of Chemical Information and Modeling, PLoS Computational Biology, Bioinformatics, Cancer Research and Journal of Clinical Oncology.
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.