Lorella Mascaro

568 citations
24 papers · 350 · h-index 10

Impact in

Papers in

Lorella Mascaro

22 papers receiving 345 citations

Peers

Lorella Mascaro
Comparison fields: 5 of 75
  • Rehabilitation 43
  • Cognitive Neuroscience 74
  • Health, Toxicology and Mutagenesis 43
  • Psychiatry and Mental health 38
  • Radiology, Nuclear Medicine and Imaging 55
Replace Kristine M. Ulrichsen with:
Kristine M. Ulrichsen Norway
P A Wolf United States
Ellen V. Backhouse United Kingdom
R.S. MacWalter United Kingdom
Taiki Miyazawa Japan
Hanzhi Li China
Kaynak Selekler Türkiye
Cameron D. Owens United States
Daniel Wollschlaeger Germany
Lorella Mascaro relative to Kristine M. Ulrichsen Norway Kristine M. Ulrichsen's profile →
Citations per field
00.5×10×16×
Kristine M. Ulrichsen · 1×
Citations per year

Countries citing papers authored by Lorella Mascaro

Since Specialization
Citations

This map shows the geographic impact of Lorella Mascaro'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 Lorella Mascaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorella Mascaro more than expected).

Fields of papers citing papers by Lorella Mascaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorella Mascaro. 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 Lorella Mascaro. The network helps show where Lorella Mascaro may publish in the future.

Co-authors

The 25 scholars most cited alongside Lorella Mascaro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lorella Mascaro Line = papers co-authored together Lorella Mascaro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200972
2 201358
3 201856
4 199929
5 201926
6 200415
7 202215
8 202312
9 201311
10 202410
11 20179
12 20219
13
[Definition criteria for a magnetic resonance quality assurance program: multicenter study].
19995
14 19995
15 20043
16 20143
17
[Results of the quality control of magnetic resonance images].
19923
18 20142
19 19952
20 20222

About Lorella Mascaro

Lorella Mascaro is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Health, Toxicology and Mutagenesis, Surgery and Neurology, having authored 24 papers that have together received 350 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Functional Brain Connectivity Studies (4 papers), Advanced MRI Techniques and Applications (3 papers), Advanced X-ray and CT Imaging (2 papers), MRI in cancer diagnosis (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Radiation Dose and Imaging (2 papers) and Radioactivity and Radon Measurements (2 papers). The work is most often cited by research in Rehabilitation (43 citations), Cognitive Neuroscience (74 citations), Health, Toxicology and Mutagenesis (43 citations), Psychiatry and Mental health (38 citations) and Radiology, Nuclear Medicine and Imaging (55 citations). Lorella Mascaro has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Roberto Gasparotti, Claudia Ambrosi, Mauro Magoni, Roberto Liserre, Dikran Mardighian, Michele Frigerio, Alessandro Pezzini, Alessandro Padovani, Mario Grassi and Marco Pavia. Their work appears in journals such as Magnetic Resonance Imaging, Physica Medica, Journal of Alzheimer s Disease, Neural Plasticity and PLoS ONE.

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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