Patrick Breheny

4.2k citations
91 papers · 2.8k indexed · 1 hit paper · h-index 28

Patrick Breheny

85 papers receiving 2.7k citations

Hit Papers

Visualization of Regression Models Using visreg7682017202620202023250500750

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
Patrick Breheny relative to Natalia Tiberti Italy Natalia Tiberti's profile →
Citations per field
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Natalia Tiberti · 1×
Citations per year

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-authorship network

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
#Work
1 20230
2 20232
3 20225
4 20213
5 202040
6 20201
7 20208
8 20205
9 201750
10 20173
11 201787
12 201614
13 20161
14 201415
15 20142
16 201324
17 201328
18 201314
19 201151
20 200819

About Patrick Breheny

Patrick Breheny is a scholar working on Statistics and Probability, Obstetrics and Gynecology and Sensory Systems, having authored 91 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (12 papers), Neuroblastoma Research and Treatments (12 papers), Lung Cancer Research Studies (11 papers), Statistical Methods and Inference (9 papers), Birth, Development, and Health (8 papers), Pregnancy and preeclampsia studies (7 papers), Gestational Diabetes Research and Management (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) and Obstetrics and Gynecology (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, Andrew M. Bellizzi and James R. Howe. 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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