Andra Curcean
Impact in
-
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
-
- Vagus Nerve Stimulation Research
Papers in
-
- MRI in cancer diagnosis 3
- Radiomics and Machine Learning in Medical Imaging 2
- Medical Imaging Techniques and Applications 2
-
- Prostate Cancer Treatment and Research 3
- Co-authors
- Nina Tunariu (8 shared papers)Dow‐Mu Koh (6 shared papers)Sorin Dudea (2 shared papers)Christina Messiou (3 shared papers)Mihaela Rusu (2 shared papers)Matthew Blackledge (5 shared papers)Anwar R. Padhani (2 shared papers)Giuseppe Petralia (1 shared paper)
- Journals
- European Radiology (2 papers)Radiology Artificial Intelligence (1 paper)Clinical Cancer Research (1 paper)JNCI Cancer Spectrum (1 paper)Clinical Radiology (1 paper)
- Partner nations
- United KingdomRomaniaAustralia
In The Last Decade
Andra Curcean
14 papers receiving 132 citations
Peers
Comparison fields: 5 of 38
- Radiology, Nuclear Medicine and Imaging 46
- Neurology 7
- Pulmonary and Respiratory Medicine 25
- Oncology 21
- Reproductive Medicine 6
Countries citing papers authored by Andra Curcean
This map shows the geographic impact of Andra Curcean'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 Andra Curcean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andra Curcean more than expected).
Fields of papers citing papers by Andra Curcean
This network shows the impact of papers produced by Andra Curcean. 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 Andra Curcean. The network helps show where Andra Curcean may publish in the future.
Co-authors
The 25 scholars most cited alongside Andra Curcean, 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 | 2020 | 31 | |
| 2 | 2021 | 23 | |
| 3 | 2019 | 20 | |
| 4 | 2020 | 13 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 7 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2024 | 1 |
About Andra Curcean
Andra Curcean is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Surgery and Pathology and Forensic Medicine, having authored 14 papers that have together received 133 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (3 papers), MRI in cancer diagnosis (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers), Colorectal Cancer Surgical Treatments (2 papers), Folate and B Vitamins Research (1 paper), Bone and Joint Diseases (1 paper) and PARP inhibition in cancer therapy (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (46 citations), Neurology (7 citations), Pulmonary and Respiratory Medicine (25 citations), Oncology (21 citations) and Reproductive Medicine (6 citations). Andra Curcean has collaborated with scholars based in United Kingdom, Romania and Australia. Frequent co-authors include Nina Tunariu, Dow‐Mu Koh, Sorin Dudea, Christina Messiou, Mihaela Rusu, Matthew Blackledge, Anwar R. Padhani, Giuseppe Petralia, Yann Jamin and David J. Collins. Their work appears in journals such as European Radiology, Radiology Artificial Intelligence, Clinical Cancer Research, JNCI Cancer Spectrum and Clinical 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.