Daniel A. Pryma
Impact in
-
- Medical Imaging Techniques and Applications
- Radiopharmaceutical Chemistry and Applications
- Radiomics and Machine Learning in Medical Imaging
- Oncology top 2%
- Lung Cancer Research Studies
Papers in
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- Medical Imaging Techniques and Applications 29
- Radiopharmaceutical Chemistry and Applications 27
- Radiomics and Machine Learning in Medical Imaging 21
-
- Cancer, Hypoxia, and Metabolism 15
- Co-authors
- David A. MankoffMichael D. FarwellChaitanya DivgiSteven M. LarsonAmy S. ClarkMithat GönenMehran MakvandiRobert H. Mach
- Journals
- Journal of Nuclear Medicine (25 papers)Journal of Clinical Oncology (10 papers)International Journal of Radiation Oncology*Biology*Physics (7 papers)Cancer Research (5 papers)Nuclear Medicine and Biology (4 papers)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Daniel A. Pryma
133 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 127
- Radiology, Nuclear Medicine and Imaging 1.5k
- Oncology 1.1k
- Cancer Research 523
- Neurology 421
- Pulmonary and Respiratory Medicine 902
Countries citing papers authored by Daniel A. Pryma
This map shows the geographic impact of Daniel A. Pryma'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 Daniel A. Pryma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Pryma more than expected).
Fields of papers citing papers by Daniel A. Pryma
This network shows the impact of papers produced by Daniel A. Pryma. 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 Daniel A. Pryma. The network helps show where Daniel A. Pryma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel A. Pryma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 24 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 8 | |
| 11 | 2020 | 1 | |
| 12 | 2019 | 39 | |
| 13 | 2016 | 80 | |
| 14 | 2015 | 38 | |
| 15 | 2015 | 38 | |
| 16 | 2015 | 30 | |
| 17 | 2014 | 21 | |
| 18 | 2013 | 2 | |
| 19 | 2012 | 59 | |
| 20 | 2001 | 0 |
About Daniel A. Pryma
Daniel A. Pryma is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Neurology, Oncology and Pulmonary and Respiratory Medicine, having authored 139 papers that have together received 3.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (29 papers), Radiopharmaceutical Chemistry and Applications (27 papers), Neuroblastoma Research and Treatments (25 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), Neuroendocrine Tumor Research Advances (17 papers), Cancer, Hypoxia, and Metabolism (15 papers), Adrenal and Paraganglionic Tumors (14 papers) and PARP inhibition in cancer therapy (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.5k citations), Oncology (1.1k citations), Cancer Research (523 citations), Neurology (421 citations) and Pulmonary and Respiratory Medicine (902 citations). Daniel A. Pryma has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include David A. Mankoff, Michael D. Farwell, Chaitanya Divgi, Steven M. Larson, Amy S. Clark, Mithat Gönen, Mehran Makvandi, Robert H. Mach, Austin R. Pantel and Catherine Hou. Their work appears in journals such as Journal of Nuclear Medicine, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Cancer Research and Nuclear Medicine and Biology.
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.