Fergal Casey

4.1k total citations · 1 hit paper
35 papers, 1.5k citations indexed

About

Fergal Casey is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Fergal Casey has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Computational Theory and Mathematics. Recurrent topics in Fergal Casey's work include Cancer Genomics and Diagnostics (6 papers), Single-cell and spatial transcriptomics (4 papers) and Gene Regulatory Network Analysis (4 papers). Fergal Casey is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Single-cell and spatial transcriptomics (4 papers) and Gene Regulatory Network Analysis (4 papers). Fergal Casey collaborates with scholars based in United States, Ireland and Italy. Fergal Casey's co-authors include James P. Sethna, Ryan N. Gutenkunst, Joshua J. Waterfall, Christopher R. Myers, Kevin Brown, Denis C. Shields, Emilia Huerta‐Sánchez, Daniel G. Bradley, Caitríona Murray and Veit Elser and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Fergal Casey

31 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Universally Sloppy Parameter Sensitivities in Systems Biology Models

2007 846 citations Ryan N. Gutenkunst, Joshua J. Waterfall et al. PLoS Computational Biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fergal Casey United States	15	926	211	139	90	85	35	1.5k
Marcel Schilling Germany	17	1.4k 1.5×	164 0.8×	163 1.2×	225 2.5×	108 1.3×	31	2.2k
Élisabeth Rémy France	20	1.2k 1.3×	137 0.6×	224 1.6×	70 0.8×	86 1.0×	55	1.6k
Jan Hasenauer Germany	31	1.7k 1.9×	215 1.0×	198 1.4×	177 2.0×	188 2.2×	144	2.7k
V. Anne Smith United Kingdom	17	874 0.9×	110 0.5×	58 0.4×	75 0.8×	217 2.6×	48	1.7k
Jesper Ferkinghoff‐Borg Denmark	21	1.3k 1.4×	97 0.5×	143 1.0×	47 0.5×	56 0.7×	40	1.6k
Paul Kirk United Kingdom	24	992 1.1×	318 1.5×	71 0.5×	33 0.4×	180 2.1×	64	2.4k
Robert J. Prill United States	15	2.4k 2.6×	277 1.3×	160 1.2×	33 0.4×	207 2.4×	17	3.0k
Faruck Morcos United States	24	2.3k 2.5×	412 2.0×	186 1.3×	70 0.8×	72 0.8×	66	2.7k
Ovidiu Radulescu France	21	1.1k 1.2×	226 1.1×	80 0.6×	50 0.6×	42 0.5×	87	1.9k
Timothy R. Lezon United States	13	1.3k 1.4×	93 0.4×	203 1.5×	77 0.9×	26 0.3×	24	1.6k

Countries citing papers authored by Fergal Casey

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fergal Casey

This figure shows the co-authorship network connecting the top 25 collaborators of Fergal Casey. A scholar is included among the top collaborators of Fergal Casey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fergal Casey. Fergal Casey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Goldstein, Orly, Mali Gana‐Weisz, Fergal Casey, et al.. (2025). The effect of polygenic risk score on PD risk and phenotype in LRRK2 G2019S and GBA1 carriers. Journal of Parkinson s Disease. 15(2). 291–299. 2 indexed citations

Casey, Fergal, Jing Zhu, Yu Sun, et al.. (2022). OmicsView: Omics data analysis through interactive visual analytics. Computational and Structural Biotechnology Journal. 20. 1277–1285. 2 indexed citations

Ouyang, Zhengyu, Paige Cundiff, Patrick Cullen, et al.. (2022). Characterizing the composition of iPSC derived cells from bulk transcriptomics data with CellMap. Scientific Reports. 12(1). 17394–17394.

Gao, Benbo, Jing Zhu, Xinmin Zhang, et al.. (2021). Quickomics: exploring omics data in an intuitive, interactive and informative manner. Bioinformatics. 37(20). 3670–3672. 5 indexed citations

Yaung, Stephanie J., Fergal Casey, Maureen Peterson, et al.. (2019). Evaluation of clonal hematopoiesis in late stage NSCLC using a next-generation sequencing panel targeting cancer genes.. Journal of Clinical Oncology. 37(15_suppl). 9050–9050. 1 indexed citations

Yaung, Stephanie J., Alan Nicholas, Nicolas Sommer, et al.. (2018). Correlation of measurements of tumor heterogeneity based on next-generation sequencing (NGS) of circulating tumor DNA (ctDNA) with clinical outcomes in STEAM, a prospective, randomized, multicenter study in metastatic colorectal cancer (mCRC).. Journal of Clinical Oncology. 36(15_suppl). 3545–3545. 1 indexed citations

Xu, Chenling, Davide Marnetto, Fergal Casey, & Emilia Huerta‐Sánchez. (2017). Leveraging Multiple Populations across Time Helps Define Accurate Models of Human Evolution: A Reanalysis of the Lactase Persistence Adaptation. Human Biology. 89(1). 81–81. 10 indexed citations

Abend, Johanna R., Marguerite Changala, Fergal Casey, et al.. (2016). Correlation of BK Virus Neutralizing Serostatus With the Incidence of BK Viremia in Kidney Transplant Recipients. Transplantation. 101(6). 1495–1505. 38 indexed citations

Lombardi, Federica, et al.. (2015). Discovering Anti-platelet Drug Combinations with an Integrated Model of Activator-Inhibitor Relationships, Activator-Activator Synergies and Inhibitor-Inhibitor Synergies. PLoS Computational Biology. 11(4). e1004119–e1004119. 4 indexed citations

10.

Sulahian, Rita, Fergal Casey, Jie Shen, et al.. (2013). An integrative analysis reveals functional targets of GATA6 transcriptional regulation in gastric cancer. Oncogene. 33(49). 5637–5648. 48 indexed citations

11.

Schmidt, Brian J., et al.. (2013). Alternate virtual populations elucidate the type I interferon signature predictive of the response to rituximab in rheumatoid arthritis. BMC Bioinformatics. 14(1). 221–221. 53 indexed citations

12.

Casey, Fergal. (2013). Competing Philosophies in John McGahern's That They May Face the Rising Sun. 43(2). 414–428.

13.

Casey, Fergal, Nevan J. Krogan, Denis C. Shields, & Gerard Cagney. (2011). Distinct configurations of protein complexes and biochemical pathways revealed by epistatic interaction network motifs. BMC Systems Biology. 5(1). 133–133.

14.

Casey, Fergal, Joshua J. Waterfall, Ryan N. Gutenkunst, Christopher R. Myers, & James P. Sethna. (2008). Variational method for estimating the rate of convergence of Markov-chain Monte Carlo algorithms. PubMed. 78(4). 46704–46704. 6 indexed citations

15.

Casey, Fergal, et al.. (2008). Web Server To Identify Similarity of Amino Acid Motifs to Compounds (SAAMCO). Journal of Chemical Information and Modeling. 48(7). 1524–1529. 6 indexed citations

16.

Sethna, James P., Ryan N. Gutenkunst, Joshua J. Waterfall, et al.. (2007). Sloppy systems biology: tight predictions with loose parameters. Bulletin of the American Physical Society. 1 indexed citations

17.

Gutenkunst, Ryan N., Joshua J. Waterfall, Fergal Casey, et al.. (2007). Universally Sloppy Parameter Sensitivities in Systems Biology Models. PLoS Computational Biology. 3(10). e189–e189. 846 indexed citations breakdown →

18.

Gutenkunst, Ryan N., Fergal Casey, Joshua J. Waterfall, Christopher R. Myers, & James P. Sethna. (2007). Extracting Falsifiable Predictions from Sloppy Models. Annals of the New York Academy of Sciences. 1115(1). 203–211. 42 indexed citations

19.

Waterfall, Joshua J., Fergal Casey, Ryan N. Gutenkunst, et al.. (2006). Sloppy-Model Universality Class and the Vandermonde Matrix. Physical Review Letters. 97(15). 150601–150601. 108 indexed citations

20.

Gutenkunst, Ryan N., Joshua J. Waterfall, Fergal Casey, et al.. (2005). Universally Sloppy Parameter Sensitivities in Systems Biology Models. PLoS Computational Biology. preprint(2007). e189–e189. 33 indexed citations

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.

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