Chiara Iacconi
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- MRI in cancer diagnosis 9
- Radiomics and Machine Learning in Medical Imaging 6
- Advanced Neuroimaging Techniques and Applications 6
- Advanced MRI Techniques and Applications 3
- Medical Imaging Techniques and Applications 2
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas 4
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- Breast Cancer Treatment Studies 3
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- AI in cancer detection 3
- Co-authors
- Carolina MariniA CilottiMarco GiannelliCarlo BartolozziMarco MorettiD. David DershawElizabeth A. MorrisDavide Caramella
- Partner nations
- ItalyUnited States
In The Last Decade
Chiara Iacconi
20 papers receiving 525 citations
Peers
Comparison fields: 5 of 47
- Radiology, Nuclear Medicine and Imaging 437
- Pathology and Forensic Medicine 129
- Cancer Research 65
- Artificial Intelligence 63
- Neurology 22
Countries citing papers authored by Chiara Iacconi
This map shows the geographic impact of Chiara Iacconi'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 Chiara Iacconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Iacconi more than expected).
Fields of papers citing papers by Chiara Iacconi
This network shows the impact of papers produced by Chiara Iacconi. 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 Chiara Iacconi. The network helps show where Chiara Iacconi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chiara Iacconi, 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 | 2024 | 1 | |
| 3 | 2019 | 44 | |
| 4 | 2017 | 20 | |
| 5 | 2017 | 1 | |
| 6 | 2015 | 41 | |
| 7 | 2014 | 17 | |
| 8 | 2014 | 19 | |
| 9 | Cervical sympathetic chain schwannoma: a case report. | 2012 | 16 |
| 10 | 2010 | 17 | |
| 11 | 2010 | 2 | |
| 12 | 2009 | 63 | |
| 13 | 2009 | 1 | |
| 14 | 2008 | 5 | |
| 15 | 2008 | 8 | |
| 16 | 2007 | 37 | |
| 17 | 2007 | 199 | |
| 18 | Vagal paragangliomas: two case reports. | 2007 | 8 |
| 19 | 2007 | 29 | |
| 20 | 2006 | 15 |
About Chiara Iacconi
Chiara Iacconi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research, having authored 22 papers that have together received 548 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Breast Lesions and Carcinomas (4 papers), AI in cancer detection (3 papers), Advanced MRI Techniques and Applications (3 papers), Breast Cancer Treatment Studies (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (437 citations), Pathology and Forensic Medicine (129 citations) and Cancer Research (65 citations). Chiara Iacconi has collaborated with scholars based in Italy and United States. Frequent co-authors include Carolina Marini, A Cilotti, Marco Giannelli, Carlo Bartolozzi, Marco Moretti, D. David Dershaw, Elizabeth A. Morris, Davide Caramella, Pietro Iacconi and Andrea Michelotti. Their work appears in journals such as European Radiology, European Journal of Radiology, Radiology, Annals of Plastic Surgery and Computational and Structural Biotechnology Journal.
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.