Nina Tunariu
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- Prostate Cancer Treatment and Research 49
- Prostate Cancer Diagnosis and Treatment 19
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- MRI in cancer diagnosis 30
- Radiopharmaceutical Chemistry and Applications 24
- Radiomics and Machine Learning in Medical Imaging 24
- Medical Imaging Techniques and Applications 17
- Advanced Neuroimaging Techniques and Applications 12
- Internal Medicine top 2%
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 14
- Hepatology top 5%
- Co-authors
- Johann S. de BonoDavid J. CollinsDow‐Mu KohWendy Gin‐SingAnwar R. PadhaniMatthew BlackledgeMartin O. LeachAlison Graham
- Journals
- Journal of Clinical Oncology (39 papers)SHILAP Revista de lepidopterología (2 papers)Blood (1 paper)
- Partner nations
- United KingdomSwitzerlandItaly
In The Last Decade
Nina Tunariu
137 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 98
- Pulmonary and Respiratory Medicine 1.8k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Internal Medicine 161
- Cancer Research 437
- Hepatology 193
Countries citing papers authored by Nina Tunariu
This map shows the geographic impact of Nina Tunariu'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 Nina Tunariu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Tunariu more than expected).
Fields of papers citing papers by Nina Tunariu
This network shows the impact of papers produced by Nina Tunariu. 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 Nina Tunariu. The network helps show where Nina Tunariu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nina Tunariu, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 3 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 11 | |
| 17 | 2020 | 13 | |
| 18 | 2019 | 50 | |
| 19 | 2016 | 1 | |
| 20 | 2005 | 298 |
About Nina Tunariu
Nina Tunariu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cancer Research, having authored 146 papers that have together received 3.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (49 papers), MRI in cancer diagnosis (30 papers), Radiopharmaceutical Chemistry and Applications (24 papers), Radiomics and Machine Learning in Medical Imaging (24 papers), Prostate Cancer Diagnosis and Treatment (19 papers), Medical Imaging Techniques and Applications (17 papers), Cancer Genomics and Diagnostics (14 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.8k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Internal Medicine (161 citations). Nina Tunariu has collaborated with scholars based in United Kingdom, Switzerland and Italy. Frequent co-authors include Johann S. de Bono, David J. Collins, Dow‐Mu Koh, Wendy Gin‐Sing, Anwar R. Padhani, Matthew Blackledge, Martin O. Leach, Alison Graham, Adil Al‐Nahhas and P. Gishen. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.