George K. Radda
- Molecular Biology top 1%
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Spectroscopy top 0.2%
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 1%
- Co-authors
- David G. GadianKieran ClarkeKeith R. ThulbornPaul M. MatthewsJohn C. WatertonGordon WongThomas H. GroveJoseph J. H. Ackerman
- Topics
- Advanced MRI Techniques and Applications (94 papers)Advanced NMR Techniques and Applications (36 papers)Metabolism and Genetic Disorders (35 papers)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
George K. Radda
260 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Molecular Biology 4.8k
- Radiology, Nuclear Medicine and Imaging 4.2k
- Spectroscopy 2.2k
- Cardiology and Cardiovascular Medicine 1.6k
- Physiology 1.6k
Countries citing papers authored by George K. Radda
This map shows the geographic impact of George K. Radda'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 George K. Radda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George K. Radda more than expected).
Fields of papers citing papers by George K. Radda
This network shows the impact of papers produced by George K. Radda. 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 George K. Radda. The network helps show where George K. Radda may publish in the future.
Co-authorship network of co-authors of George K. Radda
This figure shows the co-authorship network connecting the top 25 collaborators of George K. Radda. A scholar is included among the top collaborators of George K. Radda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with George K. Radda. George K. Radda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 151 | |
| 3 | 12 | |
| 4 | Real Time, in vivo Observation of Oxidative Carbohydrate Metabolism Reveals the Key Regulatory Role of Acetyl-Carnitine as a Substrate Buffer in the Heart | 3 |
| 5 | 35 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 54 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 44 | |
| 12 | 10 | |
| 13 | 10 | |
| 14 | 19 | |
| 15 | 4 | |
| 16 | 46 | |
| 17 | 4 | |
| 18 | 66 | |
| 19 | 50 | |
| 20 | 40 |
About George K. Radda
George K. Radda is a scholar working on Clinical Biochemistry, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 263 papers that have together received 11.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (94 papers), Advanced NMR Techniques and Applications (36 papers) and Metabolism and Genetic Disorders (35 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.2k citations), Biophysics (879 citations) and Spectroscopy (2.2k citations). George K. Radda has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include David G. Gadian, Kieran Clarke, Keith R. Thulborn, Paul M. Matthews, John C. Waterton, Gordon Wong, Thomas H. Grove, Joseph J. H. Ackerman, Brendan Leighton and Martin E. Young. Their work appears in journals such as Nature, Science and New England Journal of 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.