Paul Geeleher

4.8k total citations · 2 hit papers
24 papers, 2.8k citations indexed

About

Paul Geeleher is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Paul Geeleher has authored 24 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Cancer Research and 4 papers in Computational Theory and Mathematics. Recurrent topics in Paul Geeleher's work include Gene expression and cancer classification (10 papers), Molecular Biology Techniques and Applications (5 papers) and Bioinformatics and Genomic Networks (5 papers). Paul Geeleher is often cited by papers focused on Gene expression and cancer classification (10 papers), Molecular Biology Techniques and Applications (5 papers) and Bioinformatics and Genomic Networks (5 papers). Paul Geeleher collaborates with scholars based in United States, Ireland and South Africa. Paul Geeleher's co-authors include R. Stephanie Huang, Nancy J. Cox, Cathal Seoighe, Eric R. Gamazon, Aritro Nath, Aaron Golden, Jan O. Korbel, Enrico Cannavò, Eileen E. M. Furlong and Thomas Zichner and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Paul Geeleher

22 papers receiving 2.8k 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.

pRRophetic: An R Package for Prediction of Clinical Chemotherapeutic Response from Tumor Gene Expression Levels

2014 1.6k citations Paul Geeleher, Nancy J. Cox et al. PLoS ONE profile →
Clinical drug response can be predicted using baseline gene expression levels and in vitro drug sensitivity in cell lines

2014 624 citations Paul Geeleher, Nancy J. Cox et al. Genome biology profile →

Peers

Paul Geeleher

PRM

ONCOL

IMMUN

I. Richard Thompson Qatar

David Tamborero Spain

Tiago C. Silva United States

Stefano Maria Pagnotta Italy

Thaís S. Sabedot United States

Vasudeva Mahavisno United States

Xiuning Le United States

Matthew T. Chang United States

Scott M. Dehm United States

Zbysław Sońdka United Kingdom

I. Richard Thompson Qatar

Paul Geeleher

1.9k ×1.0

899 ×0.7

PRM

886 ×0.7

675 ×1.0

ONCOL

213 ×0.6

IMMUN

Citations per year, relative to Paul Geeleher Paul Geeleher (= 1×) peers I. Richard Thompson

Countries citing papers authored by Paul Geeleher

Since Specialization

Citations

This map shows the geographic impact of Paul Geeleher'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 Paul Geeleher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Geeleher more than expected).

Fields of papers citing papers by Paul Geeleher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Geeleher. 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 Paul Geeleher. The network helps show where Paul Geeleher may publish in the future.

Co-authorship network of co-authors of Paul Geeleher

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Geeleher. A scholar is included among the top collaborators of Paul Geeleher 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 Paul Geeleher. Paul Geeleher 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

Zubair, Asif, Richard H. Chapple, Sivaraman Natarajan, et al.. (2022). Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model. Nucleic Acids Research. 50(14). e80–e80. 9 indexed citations

Geeleher, Paul, et al.. (2022). Random-effects meta-analysis of effect sizes as a unified framework for gene set analysis. PLoS Computational Biology. 18(10). e1010278–e1010278.

Gruener, Robert F., Alexander Ling, Ya-Fang Chang, et al.. (2021). Facilitating Drug Discovery in Breast Cancer by Virtually Screening Patients Using In Vitro Drug Response Modeling. Cancers. 13(4). 885–885. 10 indexed citations

Nath, Aritro, Eunice Y. Lau, Adam M Lee, et al.. (2019). Discovering long noncoding RNA predictors of anticancer drug sensitivity beyond protein-coding genes. Proceedings of the National Academy of Sciences. 116(44). 22020–22029. 31 indexed citations

Geeleher, Paul, Aritro Nath, Fan Wang, et al.. (2018). Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purity. Genome biology. 19(1). 130–130. 22 indexed citations

Geeleher, Paul, Zhenyu Zhang, Fan Wang, et al.. (2017). Discovering novel pharmacogenomic biomarkers by imputing drug response in cancer patients from large genomics studies. Genome Research. 27(10). 1743–1751. 88 indexed citations

Geeleher, Paul, Eric R. Gamazon, Cathal Seoighe, Nancy J. Cox, & R. Stephanie Huang. (2016). Consistency in large pharmacogenomic studies. Nature. 540(7631). E1–E2. 30 indexed citations

Geeleher, Paul, Nancy J. Cox, & R. Stephanie Huang. (2016). Cancer biomarker discovery is improved by accounting for variability in general levels of drug sensitivity in pre-clinical models. Genome biology. 17(1). 190–190. 31 indexed citations

Korir, Paul K, Paul Geeleher, & Cathal Seoighe. (2015). Seq-ing improved gene expression estimates from microarrays using machine learning. BMC Bioinformatics. 16(1). 286–286. 8 indexed citations

10.

Cannavò, Enrico, Pierre Khoueiry, David Garfield, et al.. (2015). Shadow Enhancers Are Pervasive Features of Developmental Regulatory Networks. Current Biology. 26(1). 38–51. 160 indexed citations

11.

Geeleher, Paul, Andrey Loboda, Bonnie LaCroix, et al.. (2015). Predicting Response to Histone Deacetylase Inhibitors Using High-Throughput Genomics. JNCI Journal of the National Cancer Institute. 107(11). djv247–djv247. 14 indexed citations

12.

Wu, Kehua, Eric R. Gamazon, Hae Kyung Im, et al.. (2014). Genome-wide Interrogation of Longitudinal FEV1 in Children with Asthma. American Journal of Respiratory and Critical Care Medicine. 190(6). 619–627. 14 indexed citations

13.

Geeleher, Paul, Nancy J. Cox, & R. Stephanie Huang. (2014). pRRophetic: An R Package for Prediction of Clinical Chemotherapeutic Response from Tumor Gene Expression Levels. PLoS ONE. 9(9). e107468–e107468. 1615 indexed citations breakdown →

14.

Geeleher, Paul, Zhixiang Zuo, Ralph R. Weichselbaum, et al.. (2014). Poly (ADP-ribose) polymerase inhibitor efficacy in head and neck cancer. Oral Oncology. 50(9). 825–831. 7 indexed citations

15.

Ziliak, Dana, et al.. (2014). Integrative “Omic” Analysis for Tamoxifen Sensitivity through Cell Based Models. PLoS ONE. 9(4). e93420–e93420. 7 indexed citations

16.

LaCroix, Bonnie, et al.. (2014). The impact of microRNA expression on cellular proliferation. Human Genetics. 133(7). 931–938. 44 indexed citations

17.

Geeleher, Paul, Nancy J. Cox, & R. Stephanie Huang. (2014). Clinical drug response can be predicted using baseline gene expression levels and in vitro drug sensitivity in cell lines. Genome biology. 15(3). R47–R47. 624 indexed citations breakdown →

18.

LaCroix, Bonnie, Eric R. Gamazon, Hae Kyung Im, et al.. (2014). Integrative analyses of genetic variation, epigenetic regulation, and the transcriptome to elucidate the biology of platinum sensitivity. BMC Genomics. 15(1). 292–292. 20 indexed citations

19.

Geeleher, Paul, R. Stephanie Huang, Eric R. Gamazon, Aaron Golden, & Cathal Seoighe. (2012). The regulatory effect of miRNAs is a heritable genetic trait in humans. BMC Genomics. 13(1). 383–383. 17 indexed citations

20.

Geeleher, Paul, Dermot G. Morris, John Hinde, & Aaron Golden. (2009). BioconductorBuntu: a Linux distribution that implements a web-based DNA microarray analysis server. Bioinformatics. 25(11). 1438–1439. 4 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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