Roberto Cannella

3.4k citations
152 papers · 1.8k · h-index 22

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Hepatology top 1%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 45
    • Liver Disease and Transplantation 16
    • Liver Disease Diagnosis and Treatment 31

Roberto Cannella

141 papers receiving 1.8k citations

Peers

Roberto Cannella
Comparison fields: 5 of 100
  • Health Informatics 112
  • Hepatology 517
  • Radiology, Nuclear Medicine and Imaging 502
  • Epidemiology 297
  • Gastroenterology 46
Replace Akira Yamamoto with:
Akira Yamamoto Japan
Davide Ippolito Italy
Roberto Iezzi Italy
Marc Zins France
Taro Shimono Japan
Sang Joon Park South Korea
Andrei S. Purysko United States
Jinyu Liang China
Sebastien Mulé France
Paul B. Shyn United States
Roberto Cannella relative to Akira Yamamoto Japan Akira Yamamoto's profile →
Citations per field
00.5×2.6×
Akira Yamamoto · 1×
Citations per year

Countries citing papers authored by Roberto Cannella

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Cannella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023120
2 202462
3 201954
4 202151
5 201947
6 202143
7 201938
8 202336
9 202336
10 201933
11 202032
12 202131
13 202326
14 202126
15 202026
16 201926
17 202024
18 202023
19 201823
20 202122

About Roberto Cannella

Roberto Cannella is a scholar working on Hepatology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine, having authored 152 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (45 papers), Liver Disease Diagnosis and Treatment (31 papers), Radiomics and Machine Learning in Medical Imaging (22 papers), Liver Disease and Transplantation (16 papers), MRI in cancer diagnosis (8 papers), Pancreatic and Hepatic Oncology Research (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers) and Advanced MRI Techniques and Applications (6 papers). The work is most often cited by research in Health Informatics (112 citations), Hepatology (517 citations), Radiology, Nuclear Medicine and Imaging (502 citations), Epidemiology (297 citations) and Gastroenterology (46 citations). Roberto Cannella has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Federica Vernuccio, Alessandro Furlan, Giuseppe Brancatelli, Massimo Midiri, Dario Giambelluca, Tommaso Vincenzo Bartolotta, Amir A. Borhani, Giuseppe Salvaggio, Massimo Midiri and Renato Cuocolo. Their work appears in journals such as Abdominal Radiology, European Radiology, European Journal of Radiology, Insights into Imaging and La radiologia medica.

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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