Mark R. Day
Impact in
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- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
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- Advanced MRI Techniques and Applications 8
- Medical Imaging Techniques and Applications 4
- Advanced Neuroimaging Techniques and Applications 2
- MRI in cancer diagnosis 2
- Radiomics and Machine Learning in Medical Imaging 1
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- Advanced NMR Techniques and Applications 3
- Co-authors
- Daniel B. Vigneron (8 shared papers)Sarah J. Nelson (7 shared papers)Roland G. Henry (5 shared papers)Lawrence L. Wald (7 shared papers)Susan M. Chang (4 shared papers)William P. Dillon (3 shared papers)Susan M. Noworolski (3 shared papers)Andrew W. Bollen (2 shared papers)
- Journals
- Magnetic Resonance in Medicine (3 papers)Journal of Computer Assisted Tomography (1 paper)American Journal of Neuroradiology (1 paper)Magnetic Resonance Imaging (1 paper)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- United States
In The Last Decade
Mark R. Day
8 papers receiving 719 citations
Peers
Comparison fields: 5 of 57
- Radiology, Nuclear Medicine and Imaging 621
- Genetics 259
- Biophysics 58
- Spectroscopy 134
- Radiation 21
Countries citing papers authored by Mark R. Day
This map shows the geographic impact of Mark R. Day'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 Mark R. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark R. Day more than expected).
Fields of papers citing papers by Mark R. Day
This network shows the impact of papers produced by Mark R. Day. 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 Mark R. Day. The network helps show where Mark R. Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark R. Day, 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 | Preoperative proton MR spectroscopic imaging of brain tumors: correlation with histopathologic analysis of resection specimens. | 2001 | 296 |
| 2 | 1997 | 133 | |
| 3 | 1995 | 76 | |
| 4 | 2001 | 73 | |
| 5 | 1999 | 69 | |
| 6 | 1997 | 63 | |
| 7 | 1997 | 23 | |
| 8 | 1999 | 2 |
About Mark R. Day
Mark R. Day is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy, Materials Chemistry, Atomic and Molecular Physics, and Optics and Infectious Diseases, having authored 8 papers that have together received 735 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (8 papers), Medical Imaging Techniques and Applications (4 papers), Advanced NMR Techniques and Applications (3 papers), Lanthanide and Transition Metal Complexes (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), MRI in cancer diagnosis (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (621 citations), Genetics (259 citations), Biophysics (58 citations), Spectroscopy (134 citations) and Radiation (21 citations). Mark R. Day has collaborated with scholars based in United States. Frequent co-authors include Daniel B. Vigneron, Sarah J. Nelson, Roland G. Henry, Lawrence L. Wald, Susan M. Chang, William P. Dillon, Susan M. Noworolski, Andrew W. Bollen, Michael W. McDermott and Nicholas M. Barbaro. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Computer Assisted Tomography, American Journal of Neuroradiology, Magnetic Resonance Imaging and Journal of Magnetic Resonance Imaging.
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.