Gianluca Milanese
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Infectious Diseases top 5%
- Oncology top 10%
- Critical Care and Intensive Care Medicine top 2%
- Co-authors
- Nicola SverzellatiMario SilvaDavide ColombiEmanuele MichielettiFlavio Cesare BodiniGabriele MaffiNicola MorelliMarcello Petrini
- Topics
- Lung Cancer Diagnosis and Treatment (31 papers)Radiomics and Machine Learning in Medical Imaging (30 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (16 papers)
- Cited by
- Critical Care and Intensive Care MedicineRadiology, Nuclear Medicine and ImagingHealth Informatics
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Gianluca Milanese
82 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Radiology, Nuclear Medicine and Imaging 719
- Pulmonary and Respiratory Medicine 543
- Infectious Diseases 393
- Oncology 243
- Critical Care and Intensive Care Medicine 225
Countries citing papers authored by Gianluca Milanese
This map shows the geographic impact of Gianluca Milanese'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 Gianluca Milanese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Milanese more than expected).
Fields of papers citing papers by Gianluca Milanese
This network shows the impact of papers produced by Gianluca Milanese. 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 Gianluca Milanese. The network helps show where Gianluca Milanese may publish in the future.
Co-authorship network of co-authors of Gianluca Milanese
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Milanese. A scholar is included among the top collaborators of Gianluca Milanese 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 Gianluca Milanese. Gianluca Milanese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 23 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 23 | |
| 9 | 60 | |
| 10 | 6 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | 27 | |
| 16 | 78 | |
| 17 | 12 | |
| 18 | 12 | |
| 19 | Computed tomography - histology correlations of unusual lung tumors. | 1 |
| 20 | 23 |
About Gianluca Milanese
Gianluca Milanese is a scholar working on Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (31 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (16 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (225 citations), Radiology, Nuclear Medicine and Imaging (719 citations) and Health Informatics (35 citations). Gianluca Milanese has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Nicola Sverzellati, Mario Silva, Davide Colombi, Emanuele Michieletti, Flavio Cesare Bodini, Gabriele Maffi, Nicola Morelli, Marcello Petrini, Roberta Eufrasia Ledda and Ugo Pastorino. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.
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.