Pragya A. Dang
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Oncology
- Co-authors
- Keith J. DreyerChristopher L. SistromDaniel I. RosenthalJeffrey B. WeilburgJames H. ThrallElkan F. HalpernMannudeep K. KalraKathryn L. Humphrey
- Topics
- Digital Radiography and Breast Imaging (8 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)AI in cancer detection (5 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
Pragya A. Dang
17 papers receiving 626 citations
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 464
- Pulmonary and Respiratory Medicine 240
- Artificial Intelligence 216
- Biomedical Engineering 138
- Oncology 87
Countries citing papers authored by Pragya A. Dang
This map shows the geographic impact of Pragya A. Dang'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 Pragya A. Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pragya A. Dang more than expected).
Fields of papers citing papers by Pragya A. Dang
This network shows the impact of papers produced by Pragya A. Dang. 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 Pragya A. Dang. The network helps show where Pragya A. Dang may publish in the future.
Co-authorship network of co-authors of Pragya A. Dang
This figure shows the co-authorship network connecting the top 25 collaborators of Pragya A. Dang. A scholar is included among the top collaborators of Pragya A. Dang 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 Pragya A. Dang. Pragya A. Dang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 27 | |
| 5 | 15 | |
| 6 | 14 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | 57 | |
| 10 | 4 | |
| 11 | 121 | |
| 12 | 213 | |
| 13 | 39 | |
| 14 | 58 | |
| 15 | 28 | |
| 16 | 10 | |
| 17 | 28 |
About Pragya A. Dang
Pragya A. Dang is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 643 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Health Informatics (46 citations), Radiology, Nuclear Medicine and Imaging (464 citations) and Pulmonary and Respiratory Medicine (240 citations). Pragya A. Dang has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Keith J. Dreyer, Christopher L. Sistrom, Daniel I. Rosenthal, Jeffrey B. Weilburg, James H. Thrall, Elkan F. Halpern, Mannudeep K. Kalra, Kathryn L. Humphrey, Elizabeth A. Rafferty and Phoebe E. Freer. Their work appears in journals such as New England Journal of Medicine, Radiology and American Journal of Roentgenology.
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.