Danielle Power
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
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- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
Papers in
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- Lung Cancer Treatments and Mutations 4
- Oncology 4
- Cancer Immunotherapy and Biomarkers 2
- Colorectal Cancer Treatments and Studies 2
- Pancreatic and Hepatic Oncology Research 1
- Co-authors
- Eric O. Aboagye (4 shared papers)Haonan Lu (2 shared papers)Yidong Han (1 shared paper)Mitchell Chen (1 shared paper)Susan J. Copley (1 shared paper)Alessio Cortellini (1 shared paper)David J. Pinato (3 shared papers)Andrew Logan (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Lung Cancer (2 papers)Journal of Immunotherapy (1 paper)Molecular Cancer Therapeutics (1 paper)Drug and Alcohol Review (1 paper)
- Partner nations
- United KingdomItalySwitzerland
In The Last Decade
Danielle Power
9 papers receiving 182 citations
Peers
Comparison fields: 5 of 34
- Radiology, Nuclear Medicine and Imaging 96
- Pulmonary and Respiratory Medicine 66
- Health Informatics 3
- Oncology 31
- Hepatology 6
Countries citing papers authored by Danielle Power
This map shows the geographic impact of Danielle Power'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 Danielle Power with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Power more than expected).
Fields of papers citing papers by Danielle Power
This network shows the impact of papers produced by Danielle Power. 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 Danielle Power. The network helps show where Danielle Power may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Power, 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 | 2018 | 56 | |
| 2 | 2023 | 45 | |
| 3 | 2022 | 41 | |
| 4 | 2019 | 12 | |
| 5 | 2020 | 11 | |
| 6 | 2022 | 9 | |
| 7 | 1995 | 5 | |
| 8 | 2019 | 2 | |
| 9 | 2009 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2024 | 0 | |
| 12 | 2022 | 0 |
About Danielle Power
Danielle Power is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 12 papers that have together received 182 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Psychology of Moral and Emotional Judgment (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (96 citations), Pulmonary and Respiratory Medicine (66 citations), Health Informatics (3 citations), Oncology (31 citations) and Hepatology (6 citations). Danielle Power has collaborated with scholars based in United Kingdom, Italy and Switzerland. Frequent co-authors include Eric O. Aboagye, Haonan Lu, Yidong Han, Mitchell Chen, Susan J. Copley, Alessio Cortellini, David J. Pinato, Andrew Logan, Patrizia Viola and Robert West. Their work appears in journals such as Journal of Clinical Oncology, Lung Cancer, Journal of Immunotherapy, Molecular Cancer Therapeutics and Drug and Alcohol Review.
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.