James M. Mathews
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 16
- Cannabis and Cannabinoid Research 5
- Biochemistry top 5%
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- Effects and risks of endocrine disrupting chemicals 7
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- Carcinogens and Genotoxicity Assessment 9
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- Drug Transport and Resistance Mechanisms 6
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- Mobile Learning in Education 5
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- Neuroscience and Neuropharmacology Research 5
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- Animal testing and alternatives 5
- Co-authors
- Sherry R. BlackP.R. Ortiz de MontellanoAmy S. EtheridgePaul R. Ortiz de MontellanoKenneth H. FalchukH.B. MatthewsJohn R. BendPurvi R. Patel
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
James M. Mathews
61 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 146
- Pharmacology 567
- Library and Information Sciences 38
- Complementary and alternative medicine 207
- Biochemistry 119
- Health, Toxicology and Mutagenesis 158
Countries citing papers authored by James M. Mathews
This map shows the geographic impact of James M. Mathews'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 James M. Mathews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Mathews more than expected).
Fields of papers citing papers by James M. Mathews
This network shows the impact of papers produced by James M. Mathews. 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 James M. Mathews. The network helps show where James M. Mathews may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James M. Mathews, 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 | 2015 | 27 | |
| 2 | 2014 | 14 | |
| 3 | 2013 | 36 | |
| 4 | Using a studio-based pedagogy to engage students in the design of mobile-based media | 2010 | 40 |
| 5 | 2010 | 6 | |
| 6 | Restructuring activity and place: augmented reality games on handhelds | 2008 | 1 |
| 7 | Sick at South Shore Beach: a place-based augmented reality game as a framework for building evidence-based arguments | 2008 | 6 |
| 8 | Sick at South Shore Beach: A Place-Based Augmented Reality Game as a Framework for Building Academic Language in Science | 2008 | 1 |
| 9 | 2007 | 3 | |
| 10 | 2007 | 80 | |
| 11 | 2003 | 18 | |
| 12 | 1999 | 1 | |
| 13 | 1998 | 7 | |
| 14 | 1997 | 13 | |
| 15 | 1996 | 7 | |
| 16 | 1996 | 9 | |
| 17 | 1995 | 33 | |
| 18 | 1989 | 3 | |
| 19 | 1986 | 38 | |
| 20 | 1985 | 43 |
About James M. Mathews
James M. Mathews is a scholar working on Pharmacology, Biochemistry and Small Animals, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (16 papers), Carcinogens and Genotoxicity Assessment (9 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Mobile Learning in Education (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Cannabis and Cannabinoid Research (5 papers) and Animal testing and alternatives (5 papers). The work is most often cited by research in Pharmacology (567 citations), Library and Information Sciences (38 citations) and Complementary and alternative medicine (207 citations). James M. Mathews has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Sherry R. Black, P.R. Ortiz de Montellano, Amy S. Etheridge, Paul R. Ortiz de Montellano, Kenneth H. Falchuk, H.B. Matthews, John R. Bend, Purvi R. Patel, Rodney W. Snyder and C. Edwin Garner.
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.