Patrick Breheny

89 papers receiving 3.0k citations

Patrick Breheny's Hit Papers

Visualization of Regression Models Using visreg 2017 · 798 citations
7980+3+6Years since publication250500750

Peers

Patrick Breheny
Comparison fields: 5 of 188
  • Sensory Systems 198
  • Statistics and Probability 250
  • Ecological Modeling 97
  • Obstetrics and Gynecology 148
  • Endocrinology 107
Replace Xavier Robin with:
Xavier Robin Switzerland
Natacha Turck Switzerland
Alexandre Hainard Switzerland
Natalia Tiberti Italy
Jean-Charles Sanchez Switzerland
Janet S. Sinsheimer United States
Christopher Chang United States
Karl W. Broman United States
Dennis M. Heisey United States
Alicia Oshlack Australia
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Countries citing papers authored by Patrick Breheny

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Breheny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Breheny, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Breheny Line = papers co-authored together Patrick Breheny links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Visualization of Regression Models Using visreg
Hit paper breakdown →
2017798
2 2009179
3 2010154
4
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors
2016137
5 2008115
6 201791
7 202081
8 201869
9 201563
10 201563
11 201153
12 201252
13 201751
14 201449
15 202042
16 201441
17 201340
18 202040
19 202040
20 201840

About Patrick Breheny

Patrick Breheny is a scholar working on Epidemiology, Molecular Biology, Genetics, Statistics and Probability and Oncology, having authored 94 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (11 papers), Statistical Methods and Inference (11 papers), Neuroblastoma Research and Treatments (7 papers), Genetic and phenotypic traits in livestock (6 papers), Olfactory and Sensory Function Studies (6 papers), Pregnancy and preeclampsia studies (5 papers), Gene expression and cancer classification (5 papers) and Lung Cancer Research Studies (5 papers). The work is most often cited by research in Sensory Systems (198 citations), Statistics and Probability (250 citations), Ecological Modeling (97 citations), Obstetrics and Gynecology (148 citations) and Endocrinology (107 citations). Patrick Breheny has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Woodrow Burchett, Jian Huang, Timothy S. McClintock, David S. Weiss, Linda L. McCarter, Arnold J. Stromberg, Jacob Oleson, John J. Sunderland, Andrew M. Bellizzi and James R. Howe. Their work appears in journals such as PLoS ONE, Annals of Surgical Oncology, Journal of Equine Veterinary Science, Surgery and American Journal of Obstetrics and Gynecology.

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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