Rodrigo Canellas
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Epidemiology
- Hepatology top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Dushyant V. SahaniAnushri ParakhKristine S. BurkManuel PatiñoGrace C. LoZhen J. WangRenata R. AlmeidaAndrew B. Rosenkrantz
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)MRI in cancer diagnosis (3 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers)
- Partner nations
- United StatesBrazilBelgium
In The Last Decade
Rodrigo Canellas
18 papers receiving 448 citations
Peers
Comparison fields: 5 of 56
- Radiology, Nuclear Medicine and Imaging 209
- Oncology 202
- Epidemiology 201
- Hepatology 81
- Pulmonary and Respiratory Medicine 75
Countries citing papers authored by Rodrigo Canellas
This map shows the geographic impact of Rodrigo Canellas'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 Rodrigo Canellas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rodrigo Canellas more than expected).
Fields of papers citing papers by Rodrigo Canellas
This network shows the impact of papers produced by Rodrigo Canellas. 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 Rodrigo Canellas. The network helps show where Rodrigo Canellas may publish in the future.
Co-authorship network of co-authors of Rodrigo Canellas
This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Canellas. A scholar is included among the top collaborators of Rodrigo Canellas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rodrigo Canellas. Rodrigo Canellas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 29 | |
| 4 | 77 | |
| 5 | 7 | |
| 6 | 57 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | 30 | |
| 10 | 129 | |
| 11 | Applications of DECT in Thoracic Oncology: Evidence So Far | 1 |
| 12 | 46 | |
| 13 | 4 | |
| 14 | 0 | |
| 15 | 12 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 13 | |
| 19 | 9 |
About Rodrigo Canellas
Rodrigo Canellas is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 452 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). The work is most often cited by research in Hepatology (81 citations), Radiology, Nuclear Medicine and Imaging (209 citations) and Oncology (202 citations). Rodrigo Canellas has collaborated with scholars based in United States, Brazil and Belgium. Frequent co-authors include Dushyant V. Sahani, Anushri Parakh, Kristine S. Burk, Manuel Patiño, Grace C. Lo, Zhen J. Wang, Renata R. Almeida, Andrew B. Rosenkrantz, Bachir Taouli and Sanjay Saini. Their work appears in journals such as American Journal of Roentgenology, Radiographics and Journal of Magnetic Resonance Imaging.
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.