M.C. Cantone

1.6k citations
107 papers · 1.3k · h-index 19

Impact in

Papers in

M.C. Cantone

104 papers receiving 1.3k citations

Peers

M.C. Cantone
Comparison fields: 5 of 123
  • Radiation 562
  • Radiological and Ultrasound Technology 138
  • Medical Laboratory Technology 27
  • Radiology, Nuclear Medicine and Imaging 359
  • Instrumentation 38
Replace I. Veronese with:
I. Veronese Italy
P. Bérard France
S. Hashim Malaysia
M. Budzanowski Poland
Timothy A. DeVol United States
Helen J. Khoury Brazil
Eliana Cabrera Uruguay
Gary H. Kramer Canada
Didier Franck France
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 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201377
2 201165
3 201559
4 201357
5 199452
6 200941
7 201437
8 200336
9 201035
10 201931
11 200929
12 201328
13 201226
14 201725
15 201223
16
ICRP publication 106 : radiation dose to patients from radiopharmaceuticals : a third amendment to ICRP 53
200923
17 199521
18 201020
19 201519
20 201318

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 107 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 (23 papers), Nuclear Physics and Applications (19 papers), Advanced Radiotherapy Techniques (17 papers), Radioactivity and Radon Measurements (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 (562 citations), Radiological and Ultrasound Technology (138 citations), Medical Laboratory Technology (27 citations), Radiology, Nuclear Medicine and Imaging (359 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, E. Werner, L. Pirola, Mauro Fasoli, A. Vedda, N. Chiodini and E. Monès. 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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