Brian Corrigan

76 papers receiving 2.3k citations

Peers

Brian Corrigan
Comparison fields: 5 of 154
  • Statistics and Probability 335
  • Psychiatry and Mental health 350
  • Pharmacology 187
  • Pharmacology 249
  • Endocrinology, Diabetes and Metabolism 191
Replace Oscar Della Pasqua with:
Oscar Della Pasqua United Kingdom
Robert R. Bies United States
Roberto Goméni Italy
Weichung Joe Shih United States
Brian P. Smith United States
Raymond Miller United States
Davide Verotta United States
Preciosa M. Coloma Netherlands
Klaus Romero United States
Richard Peck United Kingdom
Brian Corrigan relative to Oscar Della Pasqua United Kingdom Oscar Della Pasqua's profile →
Citations per field
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Oscar Della Pasqua · 1×
Citations per year

Countries citing papers authored by Brian Corrigan

Since Specialization
Citations

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

Fields of papers citing papers by Brian Corrigan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian Corrigan, 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 Brian Corrigan Line = papers co-authored together Brian Corrigan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007349
2 2009159
3 2010158
4 2020134
5 2003131
6 2010117
7 2005110
8 201467
9 201466
10 201266
11 199665
12 200062
13
Metabolic disposition of pregabalin in healthy volunteers
200152
14 201350
15 202246
16 201741
17 201140
18 199538
19 202137
20 202232

About Brian Corrigan

Brian Corrigan is a scholar working on Statistics and Probability, Psychiatry and Mental health, Economics and Econometrics, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 78 papers that have together received 2.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (18 papers), Health Systems, Economic Evaluations, Quality of Life (16 papers), Dementia and Cognitive Impairment Research (12 papers), Pharmaceutical studies and practices (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Computational Drug Discovery Methods (5 papers), Pharmaceutical Economics and Policy (5 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Statistics and Probability (335 citations), Psychiatry and Mental health (350 citations), Pharmacology (187 citations), Pharmacology (249 citations) and Endocrinology, Diabetes and Metabolism (191 citations). Brian Corrigan has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Kaori Ito, Rymantas Kazlauskas, Thomas G. Tensfeldt, Raymond Miller, Jonathan French, Terence Fullerton, Howard N. Bockbrader, Bharat D. Damle, Matt M. Hutmacher and Wayne Ewy. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Alzheimer s & Dementia, Pharmaceutical Research, The Medical Journal of Australia and The Journal of Clinical Pharmacology.

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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