Matthew Gray
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Pharmacogenetics and Drug Metabolism 4
- Pharmacological Effects of Natural Compounds 1
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- Hormonal and reproductive studies 3
- Hormonal Regulation and Hypertension 3
- Co-authors
- E. James Squires (8 shared papers)Roberto J. Botelho (3 shared papers)Christopher H. Choy (2 shared papers)Roya M. Dayam (2 shared papers)Xuan Xiao (1 shared paper)Shawn M. Ferguson (1 shared paper)Simon C. Watkins (1 shared paper)Rosa Puertollano (1 shared paper)
- Journals
- The Journal of Steroid Biochemistry and Molecular Biology (3 papers)Experimental Biology and Medicine (1 paper)Journal of Parenteral and Enteral Nutrition (1 paper)Gene (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Matthew Gray
12 papers receiving 463 citations
Peers
Comparison fields: 5 of 84
- Physiology 84
- Pharmacology 52
- Cell Biology 77
- Nutrition and Dietetics 65
- Aging 6
Countries citing papers authored by Matthew Gray
This map shows the geographic impact of Matthew Gray'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 Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Gray more than expected).
Fields of papers citing papers by Matthew Gray
This network shows the impact of papers produced by Matthew Gray. 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 Gray. The network helps show where Matthew Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Gray, 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 | 2016 | 105 | |
| 2 | 2018 | 100 | |
| 3 | 2015 | 70 | |
| 4 | 2016 | 43 | |
| 5 | 2012 | 29 | |
| 6 | 2010 | 27 | |
| 7 | 2012 | 26 | |
| 8 | 2009 | 19 | |
| 9 | 2018 | 18 | |
| 10 | 2012 | 17 | |
| 11 | 2019 | 9 | |
| 12 | 2015 | 1 |
About Matthew Gray
Matthew Gray is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Genetics, Immunology and Molecular Biology, having authored 12 papers that have together received 464 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Hormonal and reproductive studies (3 papers), Hormonal Regulation and Hypertension (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Cellular transport and secretion (2 papers), Phagocytosis and Immune Regulation (2 papers) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Physiology (84 citations), Pharmacology (52 citations), Cell Biology (77 citations), Nutrition and Dietetics (65 citations) and Aging (6 citations). Matthew Gray has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include E. James Squires, Roberto J. Botelho, Christopher H. Choy, Roya M. Dayam, Xuan Xiao, Shawn M. Ferguson, Simon C. Watkins, Rosa Puertollano, Callen T. Wallace and Guy M. Lenk. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Experimental Biology and Medicine, Journal of Parenteral and Enteral Nutrition, Gene and Journal of Cell Science.
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.