Carla Canevari

36 papers receiving 569 citations

Peers

Carla Canevari
Comparison fields: 5 of 68
  • Biological Psychiatry 24
  • Radiology, Nuclear Medicine and Imaging 197
  • Rheumatology 106
  • Neurology 47
  • Pulmonary and Respiratory Medicine 156
Replace Sérgio Kaiser with:
Sérgio Kaiser Brazil
Seo Hee Choi South Korea
M. Di Paola Italy
Tae Joo Jeon South Korea
Tsunehiko Ikeda Japan
Bong‐Il Song South Korea
Janusz Myśliwiec Poland
Baixuan Xu China
Philippe Bourgeois France
Johanna M. U. Silvola Finland
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Citations per field
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Citations per year

Countries citing papers authored by Carla Canevari

Since Specialization
Citations

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

Fields of papers citing papers by Carla Canevari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200362
2 200061
3 201656
4 201753
5 201348
6 201643
7 201132
8 201327
9 202226
10 201920
11 200819
12 201717
13 201017
14
Partial volume corrected 18F-FDG PET mean standardized uptake value correlates with prognostic factors in breast cancer.
201415
15 201910
16 20219
17 20236
18 20146
19 20246
20 20235

About Carla Canevari

Carla Canevari is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Oncology, having authored 38 papers that have together received 575 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Neuroendocrine Tumor Research Advances (6 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Colorectal and Anal Carcinomas (4 papers), IgG4-Related and Inflammatory Diseases (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Biological Psychiatry (24 citations), Radiology, Nuclear Medicine and Imaging (197 citations), Rheumatology (106 citations), Neurology (47 citations) and Pulmonary and Respiratory Medicine (156 citations). Carla Canevari has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Luigi Gianolli, Francesca Gallivanone, Isabella Castiglioni, Ildebrando Appollonio, Carlo Ferrarese, Francesco De Cobelli, Maria Carla Gilardi, C. Staudacher, Corrado Campochiaro and Barbara Begni. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, La radiologia medica, Annals of Neurology, Magnetic Resonance Materials in Physics Biology and Medicine and Scientific Reports.

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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