Riccardo De Robertis
- Oncology top 5%
- Epidemiology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Mirko D’OnofrioStefano CrosaraRoberto Pozzi MucelliRoberto SalviaClaudio BassiPaola CapelliNicolò CardobiGiovanni Butturini
- Topics
- Pancreatic and Hepatic Oncology Research (49 papers)Neuroendocrine Tumor Research Advances (27 papers)Radiomics and Machine Learning in Medical Imaging (17 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Riccardo De Robertis
73 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 82
- Oncology 838
- Epidemiology 560
- Radiology, Nuclear Medicine and Imaging 538
- Surgery 432
- Pulmonary and Respiratory Medicine 306
Countries citing papers authored by Riccardo De Robertis
This map shows the geographic impact of Riccardo De Robertis'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 Riccardo De Robertis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo De Robertis more than expected).
Fields of papers citing papers by Riccardo De Robertis
This network shows the impact of papers produced by Riccardo De Robertis. 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 Riccardo De Robertis. The network helps show where Riccardo De Robertis may publish in the future.
Co-authorship network of co-authors of Riccardo De Robertis
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo De Robertis. A scholar is included among the top collaborators of Riccardo De Robertis 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 Riccardo De Robertis. Riccardo De Robertis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 20 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | 16 | |
| 8 | 56 | |
| 9 | 30 | |
| 10 | 67 | |
| 11 | 7 | |
| 12 | 20 | |
| 13 | 9 | |
| 14 | 3 | |
| 15 | 14 | |
| 16 | 25 | |
| 17 | 20 | |
| 18 | 0 | |
| 19 | 15 | |
| 20 | 33 |
About Riccardo De Robertis
Riccardo De Robertis is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (49 papers), Neuroendocrine Tumor Research Advances (27 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). The work is most often cited by research in Oncology (838 citations), Hepatology (242 citations) and Radiology, Nuclear Medicine and Imaging (538 citations). Riccardo De Robertis has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Mirko D’Onofrio, Stefano Crosara, Roberto Pozzi Mucelli, Roberto Salvia, Claudio Bassi, Paola Capelli, Nicolò Cardobi, Giovanni Butturini, Salvatore Paiella and Sara Cingarlini. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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.