Martina Caruso
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Health Informatics top 2%
- Co-authors
- Renato CuocoloMario PetrettaTeresa PerilloLorenzo UggaLuigia RomanoFrancesco BèguinotAnna RussoClaudio Basilico
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)MRI in cancer diagnosis (4 papers)Pediatric Hepatobiliary Diseases and Treatments (4 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaMolecular and Cellular Biology
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Martina Caruso
39 papers receiving 459 citations
Peers
Comparison fields: 5 of 86
- Radiology, Nuclear Medicine and Imaging 167
- Surgery 137
- Pulmonary and Respiratory Medicine 92
- Molecular Biology 68
- Health Informatics 56
Countries citing papers authored by Martina Caruso
This map shows the geographic impact of Martina Caruso'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 Martina Caruso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Caruso more than expected).
Fields of papers citing papers by Martina Caruso
This network shows the impact of papers produced by Martina Caruso. 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 Martina Caruso. The network helps show where Martina Caruso may publish in the future.
Co-authorship network of co-authors of Martina Caruso
This figure shows the co-authorship network connecting the top 25 collaborators of Martina Caruso. A scholar is included among the top collaborators of Martina Caruso 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 Martina Caruso. Martina Caruso 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 | 2 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 142 | |
| 17 | 5 | |
| 18 | 26 | |
| 19 | 32 | |
| 20 | 15 |
About Martina Caruso
Martina Caruso is a scholar working on Critical Care and Intensive Care Medicine, Health Informatics and Emergency Medicine, having authored 42 papers that have together received 471 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (4 papers) and Pediatric Hepatobiliary Diseases and Treatments (4 papers). The work is most often cited by research in Health Informatics (56 citations), Radiology, Nuclear Medicine and Imaging (167 citations) and Family Practice (8 citations). Martina Caruso has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Renato Cuocolo, Mario Petretta, Teresa Perillo, Lorenzo Ugga, Luigia Romano, Francesco Bèguinot, Anna Russo, Claudio Basilico, Andrea Giovagnoni and Elio Liboi. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.
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.