Nathan S. White
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Cognitive Neuroscience top 2%
- Genetics top 2%
- Pulmonary and Respiratory Medicine top 5%
- Psychiatry and Mental health top 5%
- Co-authors
- Anders M. DaleMichael T. AlkireRichard J. HaierJoshua KupermanNikdokht FaridCarrie R. McDonaldHauke BartschHelen D’Arceuil
- Topics
- Advanced Neuroimaging Techniques and Applications (32 papers)MRI in cancer diagnosis (25 papers)Advanced MRI Techniques and Applications (23 papers)
- Journals
- PLoS ONENeuroImageNeurology
- Partner nations
- United StatesNorwayUnited Kingdom
In The Last Decade
Nathan S. White
65 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 135
- Radiology, Nuclear Medicine and Imaging 1.6k
- Cognitive Neuroscience 1.1k
- Genetics 564
- Pulmonary and Respiratory Medicine 518
- Psychiatry and Mental health 292
Countries citing papers authored by Nathan S. White
This map shows the geographic impact of Nathan S. White'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 Nathan S. White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan S. White more than expected).
Fields of papers citing papers by Nathan S. White
This network shows the impact of papers produced by Nathan S. White. 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 Nathan S. White. The network helps show where Nathan S. White may publish in the future.
Co-authorship network of co-authors of Nathan S. White
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan S. White. A scholar is included among the top collaborators of Nathan S. White 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 Nathan S. White. Nathan S. White is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 17 | |
| 3 | 13 | |
| 4 | 13 | |
| 5 | 69 | |
| 6 | 25 | |
| 7 | 20 | |
| 8 | 25 | |
| 9 | 27 | |
| 10 | 22 | |
| 11 | 23 | |
| 12 | 25 | |
| 13 | 38 | |
| 14 | 43 | |
| 15 | 101 | |
| 16 | 40 | |
| 17 | 139 | |
| 18 | 211 | |
| 19 | 66 | |
| 20 | 120 |
About Nathan S. White
Nathan S. White is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Cognitive Neuroscience, having authored 66 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (32 papers), MRI in cancer diagnosis (25 papers) and Advanced MRI Techniques and Applications (23 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Cognitive Neuroscience (1.1k citations) and Genetics (564 citations). Nathan S. White has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Anders M. Dale, Michael T. Alkire, Richard J. Haier, Joshua Kuperman, Nikdokht Farid, Carrie R. McDonald, Hauke Bartsch, Helen D’Arceuil, Jan G. Bjaalie and Trygve B. Leergaard. Their work appears in journals such as PLoS ONE, NeuroImage and Neurology.
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.