Gaia Cartocci
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- COVID-19 diagnosis using AI 3
- Psychiatry and Mental health top 10%
- Migraine and Headache Studies 4
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies 3
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- Prostate Cancer Diagnosis and Treatment 3
- Cerebrovascular and Carotid Artery Diseases 3
- Pathology and Forensic Medicine top 10%
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- Acute Ischemic Stroke Management 3
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- COVID-19 Clinical Research Studies 2
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- Glaucoma and retinal disorders 2
- Co-authors
- Carlo CatalanoAlessandro NapoliMichele AnzideiBeatrice Cavallo MarincolaFulvio ZaccagnaGiulia BrachettiFrancesca CaramiaLuisa Di Mare
- Journals
- SHILAP Revista de lepidopterología (1 paper)Neurology (1 paper)Scientific Reports (1 paper)
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Gaia Cartocci
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Radiology, Nuclear Medicine and Imaging 384
- Psychiatry and Mental health 175
- Cognitive Neuroscience 172
- Pulmonary and Respiratory Medicine 240
- Pathology and Forensic Medicine 123
Countries citing papers authored by Gaia Cartocci
This map shows the geographic impact of Gaia Cartocci'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 Gaia Cartocci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaia Cartocci more than expected).
Fields of papers citing papers by Gaia Cartocci
This network shows the impact of papers produced by Gaia Cartocci. 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 Gaia Cartocci. The network helps show where Gaia Cartocci may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gaia Cartocci, 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 | 2021 | 12 | |
| 3 | 2020 | 34 | |
| 4 | 2020 | 22 | |
| 5 | 2019 | 14 | |
| 6 | 2019 | 65 | |
| 7 | 2019 | 11 | |
| 8 | 2019 | 46 | |
| 9 | 2018 | 4 | |
| 10 | 2017 | 7 | |
| 11 | 2017 | 75 | |
| 12 | 2015 | 9 | |
| 13 | 2015 | 7 | |
| 14 | Non-invasive focal therapy of organ confined prostate cancer: Phase I study using MrgFus and excision pathology for efficacy assessment | 2015 | 1 |
| 15 | 2013 | 117 | |
| 16 | 2013 | 113 | |
| 17 | 2012 | 111 | |
| 18 | 2012 | 104 | |
| 19 | 2011 | 66 | |
| 20 | 2011 | 71 |
About Gaia Cartocci
Gaia Cartocci is a scholar working on Internal Medicine, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Migraine and Headache Studies (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), COVID-19 diagnosis using AI (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Acute Ischemic Stroke Management (3 papers), Functional Brain Connectivity Studies (3 papers), COVID-19 Clinical Research Studies (2 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (384 citations), Psychiatry and Mental health (175 citations) and Cognitive Neuroscience (172 citations). Gaia Cartocci has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Carlo Catalano, Alessandro Napoli, Michele Anzidei, Beatrice Cavallo Marincola, Fulvio Zaccagna, Giulia Brachetti, Francesca Caramia, Luisa Di Mare, María Luisa Scattoni and Antonella Ferrante. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.
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.