Luca Capone
Impact in
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- Glioma Diagnosis and Treatment
- Radiation top 10%
- Advanced Radiotherapy Techniques
Papers in
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- Brain Metastases and Treatment 2
- Lung Cancer Treatments and Mutations 1
- Genetics 2
- Glioma Diagnosis and Treatment 2
- Co-authors
- Giuseppe Minniti (7 shared papers)Sergio Paolini (5 shared papers)Federico Bianciardi (4 shared papers)Paolo Tini (3 shared papers)Claudia Scaringi (2 shared papers)Ivana Russo (2 shared papers)Filippo Alongi (2 shared papers)Vincenzo Esposito (3 shared papers)
- Journals
- Journal of Neuro-Oncology (2 papers)Journal for ImmunoTherapy of Cancer (1 paper)The Aeronautical Journal (1 paper)Advances in Radiation Oncology (1 paper)Translational Lung Cancer Research (1 paper)
- Partner nations
- ItalyUnited StatesChina
In The Last Decade
Luca Capone
8 papers receiving 123 citations
Peers
Comparison fields: 5 of 16
- Genetics 41
- Radiation 35
- Pulmonary and Respiratory Medicine 73
- Health Informatics 1
- Radiology, Nuclear Medicine and Imaging 16
Countries citing papers authored by Luca Capone
This map shows the geographic impact of Luca Capone'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 Luca Capone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Capone more than expected).
Fields of papers citing papers by Luca Capone
This network shows the impact of papers produced by Luca Capone. 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 Luca Capone. The network helps show where Luca Capone may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Capone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 30 | |
| 2 | 2022 | 26 | |
| 3 | 2020 | 22 | |
| 4 | 2022 | 21 | |
| 5 | 2021 | 16 | |
| 6 | 2023 | 3 | |
| 7 | 2020 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2025 | 0 |
About Luca Capone
Luca Capone is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Statistical and Nonlinear Physics, Oncology and Radiation, having authored 9 papers that have together received 123 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (2 papers), Brain Metastases and Treatment (2 papers), Advanced Radiotherapy Techniques (1 paper), Lung Cancer Research Studies (1 paper), Lung Cancer Treatments and Mutations (1 paper), Model Reduction and Neural Networks (1 paper), Turbomachinery Performance and Optimization (1 paper) and Computational Fluid Dynamics and Aerodynamics (1 paper). The work is most often cited by research in Genetics (41 citations), Radiation (35 citations), Pulmonary and Respiratory Medicine (73 citations), Health Informatics (1 citation) and Radiology, Nuclear Medicine and Imaging (16 citations). Luca Capone has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Giuseppe Minniti, Sergio Paolini, Federico Bianciardi, Paolo Tini, Claudia Scaringi, Ivana Russo, Filippo Alongi, Vincenzo Esposito, Alessandro Bozzao and Barbara Tolu. Their work appears in journals such as Journal of Neuro-Oncology, Journal for ImmunoTherapy of Cancer, The Aeronautical Journal, Advances in Radiation Oncology and Translational Lung Cancer Research.
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.