Mario Caccese
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
- Co-authors
- Giuseppe Lombardi (56 shared papers)Vittorina Zagonel (45 shared papers)Giulia Cerretti (28 shared papers)Marta Padovan (44 shared papers)Ahmed Idbaïh (4 shared papers)Stefano Indraccolo (5 shared papers)Cristina Birzu (1 shared paper)Pim J. French (1 shared paper)
- Journals
- Journal of Clinical Oncology (10 papers)Cancers (10 papers)Annals of Oncology (6 papers)Neuro-Oncology (5 papers)Anti-Cancer Drugs (4 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Mario Caccese
67 papers receiving 961 citations
Peers
Comparison fields: 5 of 78
- Genetics 427
- Cancer Research 181
- Oncology 213
- Pulmonary and Respiratory Medicine 182
- Radiology, Nuclear Medicine and Imaging 86
Countries citing papers authored by Mario Caccese
This map shows the geographic impact of Mario Caccese'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 Mario Caccese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Caccese more than expected).
Fields of papers citing papers by Mario Caccese
This network shows the impact of papers produced by Mario Caccese. 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 Mario Caccese. The network helps show where Mario Caccese may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Caccese, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 145 | |
| 2 | 2019 | 78 | |
| 3 | 2022 | 55 | |
| 4 | 2018 | 52 | |
| 5 | 2019 | 50 | |
| 6 | 2020 | 50 | |
| 7 | 2021 | 38 | |
| 8 | 2021 | 36 | |
| 9 | 2020 | 29 | |
| 10 | 2017 | 28 | |
| 11 | 2016 | 23 | |
| 12 | 2019 | 22 | |
| 13 | 2016 | 22 | |
| 14 | 2021 | 21 | |
| 15 | 2020 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2018 | 18 | |
| 18 | 2023 | 17 | |
| 19 | 2018 | 15 | |
| 20 | 2023 | 15 |
About Mario Caccese
Mario Caccese is a scholar working on Genetics, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 78 papers that have together received 976 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (50 papers), Brain Metastases and Treatment (13 papers), Cancer Immunotherapy and Biomarkers (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Meningioma and schwannoma management (7 papers), Cancer Genomics and Diagnostics (6 papers), Pituitary Gland Disorders and Treatments (6 papers) and Lung Cancer Treatments and Mutations (6 papers). The work is most often cited by research in Genetics (427 citations), Cancer Research (181 citations), Oncology (213 citations), Pulmonary and Respiratory Medicine (182 citations) and Radiology, Nuclear Medicine and Imaging (86 citations). Mario Caccese has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Giuseppe Lombardi, Vittorina Zagonel, Giulia Cerretti, Marta Padovan, Ahmed Idbaïh, Stefano Indraccolo, Cristina Birzu, Pim J. French, Giampaolo Tortora and Sara Pilotto. Their work appears in journals such as Journal of Clinical Oncology, Cancers, Annals of Oncology, Neuro-Oncology and Anti-Cancer Drugs.
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.