Matthew Pratt–Hyatt
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Pharmacogenetics and Drug Metabolism 4
- Oncology 5
- Drug Transport and Resistance Mechanisms 5
- Co-authors
- Curtis D. Klaassen (4 shared papers)Rebecca A. Haeusler (2 shared papers)Domenico Accili (1 shared paper)Carrie L. Welch (1 shared paper)Andrew J. Lickteig (4 shared papers)Paul F. Hollenberg (4 shared papers)Iván L. Csanaky (3 shared papers)Hsia-lien Lin (2 shared papers)
- Journals
- Drug Metabolism and Disposition (5 papers)American Journal of Physiology-Gastrointestinal and Liver Physiology (1 paper)DNA and Cell Biology (1 paper)Gene (1 paper)Gastroenterology (1 paper)
- Partner nations
- United States
In The Last Decade
Matthew Pratt–Hyatt
12 papers receiving 409 citations
Peers
Comparison fields: 5 of 69
- Pharmacology 81
- Geriatrics and Gerontology 20
- Oncology 124
- Endocrinology, Diabetes and Metabolism 47
- Epidemiology 86
Countries citing papers authored by Matthew Pratt–Hyatt
This map shows the geographic impact of Matthew Pratt–Hyatt'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 Pratt–Hyatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Pratt–Hyatt more than expected).
Fields of papers citing papers by Matthew Pratt–Hyatt
This network shows the impact of papers produced by Matthew Pratt–Hyatt. 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 Pratt–Hyatt. The network helps show where Matthew Pratt–Hyatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Pratt–Hyatt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 122 | |
| 2 | 2014 | 67 | |
| 3 | 2013 | 31 | |
| 4 | 2010 | 29 | |
| 5 | 2013 | 29 | |
| 6 | 2010 | 27 | |
| 7 | 2016 | 21 | |
| 8 | 2006 | 19 | |
| 9 | 2014 | 19 | |
| 10 | 2014 | 18 | |
| 11 | 2011 | 17 | |
| 12 | 2012 | 15 |
About Matthew Pratt–Hyatt
Matthew Pratt–Hyatt is a scholar working on Pharmacology, Oncology, Pharmacology, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 12 papers that have together received 414 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), RNA modifications and cancer (3 papers), Liver Disease Diagnosis and Treatment (3 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Aldose Reductase and Taurine (1 paper). The work is most often cited by research in Pharmacology (81 citations), Geriatrics and Gerontology (20 citations), Oncology (124 citations), Endocrinology, Diabetes and Metabolism (47 citations) and Epidemiology (86 citations). Matthew Pratt–Hyatt has collaborated with scholars based in United States. Frequent co-authors include Curtis D. Klaassen, Rebecca A. Haeusler, Domenico Accili, Carrie L. Welch, Andrew J. Lickteig, Paul F. Hollenberg, Iván L. Csanaky, Hsia-lien Lin, Haoming Zhang and David R. Engelke. Their work appears in journals such as Drug Metabolism and Disposition, American Journal of Physiology-Gastrointestinal and Liver Physiology, DNA and Cell Biology, Gene and Gastroenterology.
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.