Mario Cammisa
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Rheumatology
- Pulmonary and Respiratory Medicine
- Orthopedics and Sports Medicine top 10%
- Co-authors
- Giuseppe GuglielmiAntonio SerioMassimo TorlontanoVincenzo TrischittaAlfredo ScillitaniVincenzo CarnevaleIacopo ChiodiniClaudia Battista
- Topics
- Pituitary Gland Disorders and Treatments (3 papers)Adrenal and Paraganglionic Tumors (3 papers)Hormonal Regulation and Hypertension (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismAtherosclerosisEuropean Journal of Radiology
- Partner nations
- ItalyUnited States
In The Last Decade
Mario Cammisa
12 papers receiving 349 citations
Peers
Comparison fields: 5 of 52
- Surgery 175
- Endocrinology, Diabetes and Metabolism 164
- Rheumatology 82
- Pulmonary and Respiratory Medicine 49
- Orthopedics and Sports Medicine 41
Countries citing papers authored by Mario Cammisa
This map shows the geographic impact of Mario Cammisa'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 Cammisa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Cammisa more than expected).
Fields of papers citing papers by Mario Cammisa
This network shows the impact of papers produced by Mario Cammisa. 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 Cammisa. The network helps show where Mario Cammisa may publish in the future.
Co-authorship network of co-authors of Mario Cammisa
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Cammisa. A scholar is included among the top collaborators of Mario Cammisa 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 Mario Cammisa. Mario Cammisa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Design and implementation of an integrated HIS-RIS-PACS system: our experience]. | 1 |
| 2 | 68 | |
| 3 | [Bone densitometry in the diagnosis and follow-up of osteoporosis]. | 1 |
| 4 | 24 | |
| 5 | 3.0 Tesla Magnetic Resonance. Part I: safety problems related to installation and use. | 2 |
| 6 | 51 | |
| 7 | 55 | |
| 8 | 54 | |
| 9 | 77 | |
| 10 | 8 | |
| 11 | [Fast spin echo imaging of vertebral metastasis: comparison of fat suppression techniques (FSE-CHESS, STIR-FSE)]. | 4 |
| 12 | 16 |
About Mario Cammisa
Mario Cammisa is a scholar working on Orthopedics and Sports Medicine, Endocrinology, Diabetes and Metabolism and Rheumatology, having authored 12 papers that have together received 361 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (3 papers), Adrenal and Paraganglionic Tumors (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (164 citations), Rheumatology (82 citations) and Orthopedics and Sports Medicine (41 citations). Mario Cammisa has collaborated with scholars based in Italy and United States. Frequent co-authors include Giuseppe Guglielmi, Antonio Serio, Massimo Torlontano, Vincenzo Trischitta, Alfredo Scillitani, Vincenzo Carnevale, Iacopo Chiodini, Claudia Battista, F Florio and M Nardella. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Atherosclerosis and European Journal of 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.