James M. Provenzale
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Neurology top 0.2%
- Genetics top 0.2%
- Pulmonary and Respiratory Medicine top 1%
- Cognitive Neuroscience top 1%
- Co-authors
- James R. MacFallDaniel P. BarboriakJeffrey R. PetrellaDavid J. MaddenDavid C. SteffensMartha E. PayneDavid M. DeLongKousik Krishnan
- Topics
- Advanced Neuroimaging Techniques and Applications (65 papers)Advanced MRI Techniques and Applications (45 papers)MRI in cancer diagnosis (35 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
James M. Provenzale
264 papers receiving 14.4k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Radiology, Nuclear Medicine and Imaging 5.5k
- Neurology 2.7k
- Genetics 2.6k
- Pulmonary and Respiratory Medicine 2.2k
- Cognitive Neuroscience 2.2k
Countries citing papers authored by James M. Provenzale
This map shows the geographic impact of James M. Provenzale'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 James M. Provenzale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Provenzale more than expected).
Fields of papers citing papers by James M. Provenzale
This network shows the impact of papers produced by James M. Provenzale. 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 James M. Provenzale. The network helps show where James M. Provenzale may publish in the future.
Co-authorship network of co-authors of James M. Provenzale
This figure shows the co-authorship network connecting the top 25 collaborators of James M. Provenzale. A scholar is included among the top collaborators of James M. Provenzale 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 James M. Provenzale. James M. Provenzale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 90 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 70 | |
| 9 | Transplantation of Umbilical-Cord Blood in Babies with Infantile Krabbe's Diseasebreakdown → | 522 |
| 10 | Normal structures in the intracranial dural sinuses: delineation with 3D contrast-enhanced magnetization prepared rapid acquisition gradient-echo imaging sequence. | 79 |
| 11 | 86 | |
| 12 | 171 | |
| 13 | 91 | |
| 14 | 103 | |
| 15 | 38 | |
| 16 | 52 | |
| 17 | 7 | |
| 18 | 228 | |
| 19 | 1 | |
| 20 | 8 |
About James M. Provenzale
James M. Provenzale is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Genetics, having authored 267 papers that have together received 14.8k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (65 papers), Advanced MRI Techniques and Applications (45 papers) and MRI in cancer diagnosis (35 papers). The work is most often cited by research in Genetics (2.6k citations), Radiology, Nuclear Medicine and Imaging (5.5k citations) and Neurology (2.7k citations). James M. Provenzale has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include James R. MacFall, Daniel P. Barboriak, Jeffrey R. Petrella, David J. Madden, David C. Steffens, Martha E. Payne, David M. DeLong, Kousik Krishnan, Leonard White and Srinivasan Mukundan. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and NeuroImage.
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.