Luisa Di Mare

451 total citations
7 papers, 299 citations indexed

About

Luisa Di Mare is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Luisa Di Mare has authored 7 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Biomedical Engineering and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Luisa Di Mare's work include Ultrasound and Hyperthermia Applications (4 papers), Cardiovascular Health and Disease Prevention (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). Luisa Di Mare is often cited by papers focused on Ultrasound and Hyperthermia Applications (4 papers), Cardiovascular Health and Disease Prevention (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). Luisa Di Mare collaborates with scholars based in Italy. Luisa Di Mare's 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 and has published in prestigious journals such as Journal of Computer Assisted Tomography, European Journal of Radiology and CardioVascular and Interventional Radiology.

In The Last Decade

Luisa Di Mare

7 papers receiving 292 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luisa Di Mare Italy 6 142 133 97 48 40 7 299
Syed Arsalan Raza United Kingdom 8 169 1.2× 133 1.0× 97 1.0× 33 0.7× 8 0.2× 19 368
Zhengbiao Ji China 12 132 0.9× 93 0.7× 112 1.2× 73 1.5× 13 0.3× 28 344
Ke Min Chen China 11 310 2.2× 241 1.8× 49 0.5× 82 1.7× 7 0.2× 14 434
A. Sabaté-Llobera Spain 10 143 1.0× 48 0.4× 78 0.8× 9 0.2× 24 0.6× 36 286
Gianluca De Rubeis Italy 11 115 0.8× 38 0.3× 193 2.0× 73 1.5× 63 1.6× 39 442
Shan Yang China 12 151 1.1× 65 0.5× 90 0.9× 26 0.5× 99 2.5× 36 395
Venkatesh Rangarajan India 10 163 1.1× 36 0.3× 112 1.2× 20 0.4× 6 0.1× 34 285
Fabrizio Chegai Italy 11 102 0.7× 38 0.3× 83 0.9× 61 1.3× 8 0.2× 23 272
Hollins Clark United States 10 135 1.0× 22 0.2× 181 1.9× 43 0.9× 70 1.8× 20 436
Heidi Thierjung Germany 12 57 0.4× 24 0.2× 119 1.2× 33 0.7× 30 0.8× 16 311

Countries citing papers authored by Luisa Di Mare

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

7 of 7 papers shown
1.
Marincola, Beatrice Cavallo, Federica Pediconi, Michele Anzidei, et al.. (2014). High-intensity focused ultrasound in breast pathology: non-invasive treatment of benign and malignant lesions. Expert Review of Medical Devices. 12(2). 191–199. 44 indexed citations
2.
Marincola, Beatrice Cavallo, Alessandro Napoli, Federica Pediconi, et al.. (2014). Initial clinical experience of non-invasive treatment of Magnetic Resonance guided high intensity focused Ultrasound (MRgFUS) for focal breast cancer. Journal of Therapeutic Ultrasound. 2(Suppl 1). A16–A16. 2 indexed citations
3.
Napoli, Alessandro, Michele Anzidei, Federica Ciolina, et al.. (2013). MR-Guided High-Intensity Focused Ultrasound: Current Status of an Emerging Technology. CardioVascular and Interventional Radiology. 36(5). 1190–1203. 117 indexed citations
4.
Pediconi, Federica, et al.. (2012). MRgFUS: from diagnosis to therapy. European Journal of Radiology. 81. S118–S120. 10 indexed citations
5.
Anzidei, Michele, Alessandro Napoli, Fulvio Zaccagna, et al.. (2012). 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 indexed citations
6.
Anzidei, Michele, Alessandro Napoli, Fulvio Zaccagna, et al.. (2011). 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. La radiologia medica. 117(1). 54–71. 71 indexed citations
7.
Anzidei, Michele, Alessandro Napoli, Fulvio Zaccagna, et al.. (2011). Liver Metastases From Colorectal Cancer Treated With Conventional and Antiangiogenetic Chemotherapy. Journal of Computer Assisted Tomography. 35(6). 690–696. 48 indexed citations

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.

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