Patrick Breheny

85 papers receiving 2.7k citations

Patrick Breheny's Hit Papers

Visualization of Regression Models Using visreg 2017 · 768 citations
7680+3+6Years since publication250500750

Peers

Patrick Breheny
Comparison fields: 5 of 188
  • Sensory Systems 204
  • Ecological Modeling 94
  • Obstetrics and Gynecology 169
  • Endocrinology 107
  • Statistics and Probability 169
Replace Natalia Tiberti with:
Natalia Tiberti Italy
Jean-Charles Sanchez Switzerland
Christopher Chang United States
Janet S. Sinsheimer United States
Shashaank Vattikuti United States
Yoav Gilad United States
William Cookson United Kingdom
Dennis M. Heisey United States
Christopher E. Mason United States
Anthony D. Kelleher 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 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Visualization of Regression Models Using visreg
Hit paper breakdown →
2017768
2 2009168
3 2010149
4 2008110
5 201787
6 202077
7 201864
8 201561
9 201556
10 201151
11 201251
12 201750
13 201448
14 201443
15 202040
16 201340
17 201839
18 202039
19 201336
20 200336

About Patrick Breheny

Patrick Breheny is a scholar working on Epidemiology, Oncology, Neurology, Molecular Biology and Genetics, having authored 91 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (12 papers), Neuroendocrine Tumor Research Advances (12 papers), Lung Cancer Research Studies (11 papers), Statistical Methods and Inference (9 papers), Birth, Development, and Health (8 papers), Gestational Diabetes Research and Management (7 papers), Pregnancy and preeclampsia studies (7 papers) and Genetic and phenotypic traits in livestock (6 papers). The work is most often cited by research in Sensory Systems (204 citations), Ecological Modeling (94 citations), Obstetrics and Gynecology (169 citations), Endocrinology (107 citations) and Statistics and Probability (169 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, James R. Howe and Andrew M. Bellizzi. Their work appears in journals such as PLoS ONE, Annals of Surgical Oncology, Cell Reports, American Journal of Obstetrics and Gynecology and The Journal of Maternal-Fetal & Neonatal Medicine.

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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