Andrea d’Amico
- Otorhinolaryngology top 10%
- Neurology top 10%
- Urology top 10%
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- Medical Imaging Techniques and Applications 9
- Radiomics and Machine Learning in Medical Imaging 7
- Radiopharmaceutical Chemistry and Applications 3
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- Prostate Cancer Diagnosis and Treatment 5
- Medical Imaging and Pathology Studies 4
- Lung Cancer Diagnosis and Treatment 3
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- Glioma Diagnosis and Treatment 3
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- Meningioma and schwannoma management 3
- Co-authors
- Ferruccio FazioEnrico Finazzi AgròPaolo StanzionePaolo MazzoneAntonella PeppeFilomena PettaF MicaliCarlo Caltagirone
- Cited by
- OtorhinolaryngologyNeurology
- Journals
- Journal of Clinical Oncology (4 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)Neuro-Oncology (2 papers)
- Partner nations
- PolandUnited StatesItaly
In The Last Decade
Andrea d’Amico
40 papers receiving 449 citations
Peers
Comparison fields: 5 of 71
- Otorhinolaryngology 44
- Neurology 131
- Neurology 61
- Urology 34
- Radiology, Nuclear Medicine and Imaging 87
Countries citing papers authored by Andrea d’Amico
This map shows the geographic impact of Andrea d’Amico'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 Andrea d’Amico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea d’Amico more than expected).
Fields of papers citing papers by Andrea d’Amico
This network shows the impact of papers produced by Andrea d’Amico. 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 Andrea d’Amico. The network helps show where Andrea d’Amico may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrea d’Amico, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 7 | |
| 8 | 2020 | 7 | |
| 9 | 2019 | 4 | |
| 10 | 2018 | 2 | |
| 11 | 2018 | 0 | |
| 12 | Recommendations on the application of positron emission tomography in oncology | 2015 | 1 |
| 13 | 2015 | 3 | |
| 14 | 2014 | 4 | |
| 15 | 2014 | 15 | |
| 16 | 2014 | 13 | |
| 17 | 2010 | 20 | |
| 18 | CT/SPECT image fusion in patients treated with iodine-131 | 2004 | 2 |
| 19 | 2001 | 1 | |
| 20 | 1999 | 6 |
About Andrea d’Amico
Andrea d’Amico is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 457 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Medical Imaging and Pathology Studies (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Glioma Diagnosis and Treatment (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Meningioma and schwannoma management (3 papers). The work is most often cited by research in Otorhinolaryngology (44 citations), Neurology (131 citations) and Neurology (61 citations). Andrea d’Amico has collaborated with scholars based in Poland, United States and Italy. Frequent co-authors include Ferruccio Fazio, Enrico Finazzi Agrò, Paolo Stanzione, Paolo Mazzone, Antonella Peppe, Filomena Petta, F Micali, Carlo Caltagirone, Daniela Perani and Stefano F. Cappa. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Neuro-Oncology, Scientific Reports and EJNMMI Physics.
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.