Matthew Doogue
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Surgery top 10%
- Epidemiology top 10%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Thomas M. PolasekRichard O. DayJerry R. GreenfieldPeter TimminsGarry G. GrahamJanna K. DuongJohn E. RayCarl M. J. Kirkpatrick
- Topics
- Pharmacological Effects and Toxicity Studies (12 papers)Pharmacogenetics and Drug Metabolism (11 papers)Pharmaceutical studies and practices (10 papers)
- Journals
- Journal of the American College of CardiologyThe Journal of Clinical Endocrinology & MetabolismScientific Reports
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Matthew Doogue
85 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Endocrinology, Diabetes and Metabolism 976
- Molecular Biology 757
- Surgery 525
- Epidemiology 371
- Pediatrics, Perinatology and Child Health 360
Countries citing papers authored by Matthew Doogue
This map shows the geographic impact of Matthew Doogue'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 Matthew Doogue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Doogue more than expected).
Fields of papers citing papers by Matthew Doogue
This network shows the impact of papers produced by Matthew Doogue. 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 Matthew Doogue. The network helps show where Matthew Doogue may publish in the future.
Co-authorship network of co-authors of Matthew Doogue
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Doogue. A scholar is included among the top collaborators of Matthew Doogue 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 Matthew Doogue. Matthew Doogue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | A New Zealand platform to enable genetic investigation of adverse drug reactions. | 8 |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 6 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | Advances in biochemical screening for phaeochromocytoma using biogenic amines. | 27 |
| 15 | 8 | |
| 16 | 6 | |
| 17 | 29 | |
| 18 | 15 | |
| 19 | 21 | |
| 20 | 3 |
About Matthew Doogue
Matthew Doogue is a scholar working on Geriatrics and Gerontology, Applied Microbiology and Biotechnology and Toxicology, having authored 94 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (12 papers), Pharmacogenetics and Drug Metabolism (11 papers) and Pharmaceutical studies and practices (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (976 citations), Nephrology (199 citations) and Behavioral Neuroscience (94 citations). Matthew Doogue has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Thomas M. Polasek, Richard O. Day, Jerry R. Greenfield, Peter Timmins, Garry G. Graham, Janna K. Duong, John E. Ray, Carl M. J. Kirkpatrick, Manit Arora and Timothy J. Furlong. Their work appears in journals such as Journal of the American College of Cardiology, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.
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.