M.C. Cantone

1.6k citations
104 papers · 1.3k · h-index 18

Impact in

Papers in

M.C. Cantone

102 papers receiving 1.2k citations

Peers

M.C. Cantone
Comparison fields: 5 of 122
  • Radiation 530
  • Radiological and Ultrasound Technology 124
  • Medical Laboratory Technology 23
  • Radiology, Nuclear Medicine and Imaging 337
  • Instrumentation 38
Replace I. Veronese with:
I. Veronese Italy
P. Bérard France
S. Hashim Malaysia
M. Budzanowski Poland
Timothy A. DeVol United States
M. Bonardi Italy
Eliana Cabrera Uruguay
Helen J. Khoury Brazil
Gary H. Kramer Canada
A. Giussani Germany
M.C. Cantone relative to I. Veronese Italy I. Veronese's profile →
Citations per field
00.5×1.5×
I. Veronese · 1×
Citations per year

Countries citing papers authored by M.C. Cantone

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Cantone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.C. Cantone. 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 M.C. Cantone. The network helps show where M.C. Cantone may publish in the future.

Co-authors

The 25 scholars most cited alongside M.C. Cantone, 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 M.C. Cantone Line = papers co-authored together M.C. Cantone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201372
2 201163
3 201557
4 201354
5 199449
6 200940
7 201435
8 201035
9 200332
10 201931
11 201328
12 200928
13 201225
14 201725
15 201223
16 201020
17
ICRP publication 106 : radiation dose to patients from radiopharmaceuticals : a third amendment to ICRP 53
200920
18 199517
19 201317
20 200917

About M.C. Cantone

M.C. Cantone is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Global and Planetary Change, Radiological and Ultrasound Technology and Sociology and Political Science, having authored 104 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radioactive contamination and transfer (24 papers), Radiation Dose and Imaging (22 papers), Nuclear Physics and Applications (19 papers), Radioactivity and Radon Measurements (16 papers), Advanced Radiotherapy Techniques (16 papers), Risk Perception and Management (15 papers), Radioactive element chemistry and processing (14 papers) and Radiation Detection and Scintillator Technologies (12 papers). The work is most often cited by research in Radiation (530 citations), Radiological and Ultrasound Technology (124 citations), Medical Laboratory Technology (23 citations), Radiology, Nuclear Medicine and Imaging (337 citations) and Instrumentation (38 citations). M.C. Cantone has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include I. Veronese, A. Giussani, P. Roth, G. Gambarini, L. Pirola, A. Vedda, Mauro Fasoli, E. Werner, N. Chiodini and Pietro Mancosu. Their work appears in journals such as Radiation Protection Dosimetry, Journal of Radioanalytical and Nuclear Chemistry, Journal of Radiological Protection, Radiation Measurements and Applied Radiation and Isotopes.

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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