Luisa Di Mare
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Epidemiology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Carlo CatalanoAlessandro NapoliBeatrice Cavallo MarincolaMichele AnzideiGaia CartocciFulvio ZaccagnaRoberto PassarielloLuca Saba
- Topics
- Ultrasound and Hyperthermia Applications (4 papers)Cardiovascular Health and Disease Prevention (2 papers)Cerebrovascular and Carotid Artery Diseases (2 papers)
- Journals
- Journal of Computer Assisted TomographyEuropean Journal of RadiologyCardioVascular and Interventional Radiology
- Partner nations
- Italy
In The Last Decade
Luisa Di Mare
7 papers receiving 292 citations
Peers
Comparison fields: 5 of 45
- Radiology, Nuclear Medicine and Imaging 142
- Biomedical Engineering 133
- Pulmonary and Respiratory Medicine 97
- Epidemiology 48
- Cardiology and Cardiovascular Medicine 40
Countries citing papers authored by Luisa Di Mare
This map shows the geographic impact of Luisa Di Mare'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 Luisa Di Mare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Di Mare more than expected).
Fields of papers citing papers by Luisa Di Mare
This network shows the impact of papers produced by Luisa Di Mare. 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 Luisa Di Mare. The network helps show where Luisa Di Mare may publish in the future.
Co-authorship network of co-authors of Luisa Di Mare
This figure shows the co-authorship network connecting the top 25 collaborators of Luisa Di Mare. A scholar is included among the top collaborators of Luisa Di Mare based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luisa Di Mare. Luisa Di Mare is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 2 | |
| 3 | 117 | |
| 4 | 10 | |
| 5 | Diagnostic accuracy of colour Doppler ultrasonography, CT angiography and blood-pool-enhanced MR angiography in assessing carotid stenosis: a comparative study with DSA in 170 patients Accuratezza diagnostica nella valutazione della stenosi carotidea di eco-color Doppler, angio-TC ed angio-RM con mezzo di contrasto intravascolare: valutazione comparativa dell'accuratezza diagnostica con DSA in 170 pazienti | 7 |
| 6 | 71 | |
| 7 | 48 |
About Luisa Di Mare
Luisa Di Mare is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics and Radiation, having authored 7 papers that have together received 299 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (4 papers), Cardiovascular Health and Disease Prevention (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (142 citations), Hepatology (34 citations) and Biomedical Engineering (133 citations). Luisa Di Mare has collaborated with scholars based in Italy. Frequent co-authors include Carlo Catalano, Alessandro Napoli, Beatrice Cavallo Marincola, Michele Anzidei, Gaia Cartocci, Fulvio Zaccagna, Roberto Passariello, Luca Saba, Federica Ciolina and Giulia Brachetti. Their work appears in journals such as Journal of Computer Assisted Tomography, European Journal of Radiology and CardioVascular and Interventional 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.