Marina Muzza
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Genetics top 5%
- Oncology top 10%
- Surgery
- Co-authors
- Laura FugazzolaValentina CirelloCarla ColomboLeonardo VicentiniNicole NucciMarialuisa SponzielloSimona CensiPatricia Borges de Souza
- Topics
- Thyroid Cancer Diagnosis and Treatment (26 papers)Genetic factors in colorectal cancer (9 papers)BRCA gene mutations in cancer (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismCancer Research
- Partner nations
- ItalyUnited KingdomGreece
In The Last Decade
Marina Muzza
45 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 1.2k
- Molecular Biology 615
- Genetics 353
- Oncology 312
- Surgery 192
Countries citing papers authored by Marina Muzza
This map shows the geographic impact of Marina Muzza'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 Marina Muzza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Muzza more than expected).
Fields of papers citing papers by Marina Muzza
This network shows the impact of papers produced by Marina Muzza. 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 Marina Muzza. The network helps show where Marina Muzza may publish in the future.
Co-authorship network of co-authors of Marina Muzza
This figure shows the co-authorship network connecting the top 25 collaborators of Marina Muzza. A scholar is included among the top collaborators of Marina Muzza 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 Marina Muzza. Marina Muzza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 32 | |
| 8 | 33 | |
| 9 | 19 | |
| 10 | 24 | |
| 11 | 92 | |
| 12 | 8 | |
| 13 | 22 | |
| 14 | 12 | |
| 15 | 138 | |
| 16 | 34 | |
| 17 | 32 | |
| 18 | Histopathological and molecular studies in patients with goiter and hypercalcitoninemia: reactive or neoplastic C-cell hyperplasia? | 2 |
| 19 | 11 | |
| 20 | 153 |
About Marina Muzza
Marina Muzza is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Genetics, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (26 papers), Genetic factors in colorectal cancer (9 papers) and BRCA gene mutations in cancer (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Genetics (353 citations) and Oncology (312 citations). Marina Muzza has collaborated with scholars based in Italy, United Kingdom and Greece. Frequent co-authors include Laura Fugazzola, Valentina Cirello, Carla Colombo, Leonardo Vicentini, Nicole Nucci, Marialuisa Sponziello, Simona Censi, Patricia Borges de Souza, Alessandro Prete and Luca Persani. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and 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.