Sam E. Day
Impact in
- Spectroscopy top 0.5%
- Advanced NMR Techniques and Applications
-
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
-
- Advanced NMR Techniques and Applications 7
-
- Enzyme function and inhibition 7
- Metabolomics and Mass Spectrometry Studies 1
- Co-authors
- Kevin Michael Brindle (13 shared papers)Mikko I. Kettunen (13 shared papers)Ferdia Aidan Gallagher (12 shared papers)Mathilde H. Lerche (4 shared papers)De‐En Hu (11 shared papers)Jan Henrik Ardenkjær‐Larsen (2 shared papers)Klaes Golman (2 shared papers)Jan Wolber (1 shared paper)
- Journals
- Magnetic Resonance in Medicine (5 papers)NMR in Biomedicine (2 papers)Nature (1 paper)Nature Medicine (1 paper)Cancer Research (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Sam E. Day
10 papers receiving 2.1k citations
Sam E. Day's Hit Papers
Peers
Comparison fields: 5 of 78
- Spectroscopy 1.3k
- Radiology, Nuclear Medicine and Imaging 751
- Cancer Research 305
- Biophysics 49
- Bioengineering 16
Countries citing papers authored by Sam E. Day
This map shows the geographic impact of Sam E. 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 Sam E. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam E. Day more than expected).
Fields of papers citing papers by Sam E. Day
This network shows the impact of papers produced by Sam E. 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 Sam E. Day. The network helps show where Sam E. Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam E. 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 | Detecting tumor response to treatment using hyperpolarized 13C magnetic resonance imaging and spectroscopy Hit paper breakdown → | 2007 | 782 |
| 2 | Magnetic resonance imaging of pH in vivo using hyperpolarized 13C-labelled bicarbonate Hit paper breakdown → | 2008 | 755 |
| 3 | 2010 | 143 | |
| 4 | 2008 | 137 | |
| 5 | 2010 | 98 | |
| 6 | 2007 | 63 | |
| 7 | 2011 | 54 | |
| 8 | 2007 | 45 | |
| 9 | 2008 | 40 | |
| 10 | 2015 | 40 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 0 | |
| 16 | 2023 | 0 |
About Sam E. Day
Sam E. Day is a scholar working on Spectroscopy, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Nuclear Energy and Engineering, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (7 papers), Enzyme function and inhibition (7 papers), Cancer, Lipids, and Metabolism (1 paper), Advanced MRI Techniques and Applications (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Spectroscopy (1.3k citations), Radiology, Nuclear Medicine and Imaging (751 citations), Cancer Research (305 citations), Biophysics (49 citations) and Bioengineering (16 citations). Sam E. Day has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Kevin Michael Brindle, Mikko I. Kettunen, Ferdia Aidan Gallagher, Mathilde H. Lerche, De‐En Hu, Jan Henrik Ardenkjær‐Larsen, Klaes Golman, Jan Wolber, Magnus G. Karlsson and René in ‘t Zandt. Their work appears in journals such as Magnetic Resonance in Medicine, NMR in Biomedicine, Nature, Nature Medicine and Cancer Research.
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.