David M. DeLong
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Epidemiology top 0.5%
- Surgery top 0.5%
- Pulmonary and Respiratory Medicine top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Co-authors
- Elizabeth R. DeLongDaniel L. Clarke‐PearsonRendon C. NelsonJames M. ProvenzaleErik K. PaulsonSebastian T. SchinderaEhsan SameiTerry T. Yoshizumi
- Topics
- Radiation Dose and Imaging (25 papers)MRI in cancer diagnosis (15 papers)Advanced X-ray and CT Imaging (14 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingCardiology and Cardiovascular MedicineEmergency Medicine
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
David M. DeLong
106 papers receiving 21.7k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Radiology, Nuclear Medicine and Imaging 6.0k
- Epidemiology 4.2k
- Surgery 4.1k
- Pulmonary and Respiratory Medicine 3.8k
- Cardiology and Cardiovascular Medicine 3.3k
Countries citing papers authored by David M. DeLong
This map shows the geographic impact of David M. DeLong'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 David M. DeLong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. DeLong more than expected).
Fields of papers citing papers by David M. DeLong
This network shows the impact of papers produced by David M. DeLong. 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 David M. DeLong. The network helps show where David M. DeLong may publish in the future.
Co-authorship network of co-authors of David M. DeLong
This figure shows the co-authorship network connecting the top 25 collaborators of David M. DeLong. A scholar is included among the top collaborators of David M. DeLong 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 David M. DeLong. David M. DeLong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 189 | |
| 3 | 31 | |
| 4 | 20 | |
| 5 | 38 | |
| 6 | 21 | |
| 7 | 22 | |
| 8 | 14 | |
| 9 | 18 | |
| 10 | 49 | |
| 11 | 182 | |
| 12 | 1 | |
| 13 | 65 | |
| 14 | 32 | |
| 15 | 52 | |
| 16 | 28 | |
| 17 | 7 | |
| 18 | 37 | |
| 19 | 7 | |
| 20 | Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approachbreakdown → | 16994 |
About David M. DeLong
David M. DeLong is a scholar working on Radiology, Nuclear Medicine and Imaging, Internal Medicine and Pulmonary and Respiratory Medicine, having authored 106 papers that have together received 22.1k indexed citations. Recurring topics across this work include Radiation Dose and Imaging (25 papers), MRI in cancer diagnosis (15 papers) and Advanced X-ray and CT Imaging (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (6.0k citations), Cardiology and Cardiovascular Medicine (3.3k citations) and Emergency Medicine (1.3k citations). David M. DeLong has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Elizabeth R. DeLong, Daniel L. Clarke‐Pearson, Rendon C. Nelson, James M. Provenzale, Erik K. Paulson, Sebastian T. Schindera, Ehsan Samei, Terry T. Yoshizumi, Mark A. Kliewer and Mark J. Alberts. Their work appears in journals such as JAMA, Neurology and Radiology.
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.