Matthew Runquist
Impact in
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- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
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- Neuroscience of respiration and sleep
Papers in
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- Advanced MRI Techniques and Applications 3
- MRI in cancer diagnosis 1
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- Metabolomics and Mass Spectrometry Studies 1
- Redox biology and oxidative stress 1
- Co-authors
- Robert J. Gillies (3 shared papers)Garth Powis (3 shared papers)Bénédicte F. Jordan (3 shared papers)Amanda F. Baker (2 shared papers)Natarajan Raghunand (2 shared papers)Lynn Kirkpatrick (1 shared paper)Ronald M. Harper (2 shared papers)Paul M. Macey (2 shared papers)
- Journals
- Journal of Applied Physiology (2 papers)Clinical Cancer Research (1 paper)Journal of Magnetic Resonance Imaging (1 paper)NMR in Biomedicine (1 paper)Magnetic Resonance in Medicine (1 paper)
- Partner nations
- United StatesBelgiumRussia
In The Last Decade
Matthew Runquist
9 papers receiving 349 citations
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 127
- Endocrine and Autonomic Systems 36
- Cancer Research 63
- Cardiology and Cardiovascular Medicine 49
- Cognitive Neuroscience 43
Countries citing papers authored by Matthew Runquist
This map shows the geographic impact of Matthew Runquist'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 Runquist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Runquist more than expected).
Fields of papers citing papers by Matthew Runquist
This network shows the impact of papers produced by Matthew Runquist. 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 Runquist. The network helps show where Matthew Runquist may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Runquist, 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 | 2005 | 113 | |
| 2 | 2004 | 84 | |
| 3 | 2005 | 53 | |
| 4 | 2005 | 42 | |
| 5 | 2007 | 32 | |
| 6 | 2016 | 13 | |
| 7 | 2004 | 10 | |
| 8 | 2008 | 9 | |
| 9 | 2021 | 2 |
About Matthew Runquist
Matthew Runquist is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems, having authored 9 papers that have together received 358 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (3 papers), Neuroscience and Neural Engineering (2 papers), Neonatal and fetal brain pathology (2 papers), Neuroscience of respiration and sleep (2 papers), Muscle activation and electromyography studies (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), MRI in cancer diagnosis (1 paper) and Redox biology and oxidative stress (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (127 citations), Endocrine and Autonomic Systems (36 citations), Cancer Research (63 citations), Cardiology and Cardiovascular Medicine (49 citations) and Cognitive Neuroscience (43 citations). Matthew Runquist has collaborated with scholars based in United States, Belgium and Russia. Frequent co-authors include Robert J. Gillies, Garth Powis, Bénédicte F. Jordan, Amanda F. Baker, Natarajan Raghunand, Lynn Kirkpatrick, Ronald M. Harper, Paul M. Macey, Luke A. Henderson and Ryan Williams. Their work appears in journals such as Journal of Applied Physiology, Clinical Cancer Research, Journal of Magnetic Resonance Imaging, NMR in Biomedicine and Magnetic Resonance in Medicine.
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.